Kondisi Energi Kronis Ibu Hamil di Pegunungan Bintang 2023
Packages
## Linking to GEOS 3.12.1, GDAL 3.8.4, PROJ 9.3.1; sf_use_s2() is TRUE
## To enable caching of data, set `options(tigris_use_cache = TRUE)`
## in your R script or .Rprofile.
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
## Loading required package: spData
## To access larger datasets in this package, install the spDataLarge
## package with: `install.packages('spDataLarge',
## repos='https://nowosad.github.io/drat/', type='source')`
Input Data
Data SHP
## Reading layer `idn_admbnda_adm4_ID9_bps_20200401' from data source
## `D:\Semester 5\Regspas\shp\idn_admbnda_adm4_ID9_bps_20200401.shp'
## using driver `ESRI Shapefile'
## Simple feature collection with 5432 features and 18 fields
## Geometry type: MULTIPOLYGON
## Dimension: XY
## Bounding box: xmin: 129.3077 ymin: -9.120363 xmax: 141.0194 ymax: 0.9377967
## Geodetic CRS: WGS 84
colnames(desa)[colnames(desa) == "ADM2_EN"] <- "KAB_KOTA"
#Subsset Data
desa.pegunungan.bint <- subset(desa, KAB_KOTA == "Pegunungan Bintang")
desa.pegunungan.bint$ADM4_EN[188]<- "Oktumi.Oksop"
desa.pegunungan.bint$ADM4_EN[189]<- "Oktumi.Oklip"
desa.pegunungan.bint <- st_make_valid(desa.pegunungan.bint)
nrow(desa.pegunungan.bint)
## [1] 277
Data Kondisi Energi Kronis Ibu Hamil
## # A tibble: 6 × 4
## ADM4_EN Jumlah Normal KEK
## <chr> <dbl> <dbl> <dbl>
## 1 Kabiding 15 12 3
## 2 Aldom 11 9 2
## 3 Kotdol 13 13 0
## 4 Polsam 0 0 0
## 5 Okmakot 3 3 0
## 6 Mabilabol 1 0 1
Data Merge
#Merge menggunakan left join
data_merge <- left_join(desa.pegunungan.bint, kek, by = "ADM4_EN")
nrow(data_merge)
## [1] 277
#Merge menggunakan merge
data.merge <- merge(desa.pegunungan.bint, kek, by = "ADM4_EN")
head(data.merge)
## Simple feature collection with 6 features and 21 fields
## Geometry type: POLYGON
## Dimension: XY
## Bounding box: xmin: 140.2012 ymin: -5.020668 xmax: 141 ymax: -4.195906
## Geodetic CRS: WGS 84
## ADM4_EN ADM4_PCODE ADM4_REF ADM4ALT1EN ADM4ALT2EN ADM3_EN ADM3_PCODE
## 1 Aboy ID9417041002 <NA> <NA> <NA> Aboy ID9417041
## 2 Abukerom ID9417060019 <NA> <NA> <NA> Batom ID9417060
## 3 Akmer ID9417026001 <NA> <NA> <NA> Ok Bape ID9417026
## 4 Aldom ID9417020037 <NA> <NA> <NA> Oksibil ID9417020
## 5 Alemsom ID9417022003 <NA> <NA> <NA> Alemsom ID9417022
## 6 Alutbakon ID9417025005 <NA> <NA> <NA> Oksop ID9417025
## KAB_KOTA ADM2_PCODE ADM1_EN ADM1_PCODE ADM0_EN ADM0_PCODE
## 1 Pegunungan Bintang ID9417 Papua ID94 Indonesia ID
## 2 Pegunungan Bintang ID9417 Papua ID94 Indonesia ID
## 3 Pegunungan Bintang ID9417 Papua ID94 Indonesia ID
## 4 Pegunungan Bintang ID9417 Papua ID94 Indonesia ID
## 5 Pegunungan Bintang ID9417 Papua ID94 Indonesia ID
## 6 Pegunungan Bintang ID9417 Papua ID94 Indonesia ID
## date validOn validTo Shape_Leng Shape_Area Jumlah Normal KEK
## 1 2019-12-20 2020-04-01 -001-11-30 0.7371918 0.017582417 0 0 0
## 2 2019-12-20 2020-04-01 -001-11-30 0.5911290 0.017348470 36 36 0
## 3 2019-12-20 2020-04-01 -001-11-30 0.1669329 0.001760936 7 0 7
## 4 2019-12-20 2020-04-01 -001-11-30 0.4064180 0.007098182 11 9 2
## 5 2019-12-20 2020-04-01 -001-11-30 0.2446693 0.001646100 0 0 0
## 6 2019-12-20 2020-04-01 -001-11-30 0.2022307 0.002072434 5 0 5
## geometry
## 1 POLYGON ((140.7442 -4.19590...
## 2 POLYGON ((141 -4.205068, 14...
## 3 POLYGON ((140.4866 -4.78447...
## 4 POLYGON ((140.715 -5.008068...
## 5 POLYGON ((140.3072 -4.64202...
## 6 POLYGON ((140.5929 -4.83127...
## [1] 277
Eksplorasi Plot Spasial
## Breaking News: tmap 3.x is retiring. Please test v4, e.g. with
## remotes::install_github('r-tmap/tmap')
#Menggunakan ggplot
library(ggplot2)
kek.desa.pegunungan.bint <- ggplot() +
geom_sf(data=data.merge,aes(fill = KEK, geometry=geometry)) +
scale_fill_gradient(high = c("orange","red"), low = "#FFEDD2")+
theme_minimal() +
theme(
legend.text = element_text(size = 10),
legend.title = element_text(size = 10, face = "bold"),
axis.text.x = element_text(size = 10),
axis.text.y = element_text(size = 10),
plot.title = element_text(size = 12, face = "bold", hjust = 0.5),
panel.background = element_blank(),
panel.grid = element_blank()
) +
labs(title = "Sebaran Kasus KEK Pegunungan Bintang Tahun 2023")
kek.desa.pegunungan.bint
Ekstrak koordinat latitude dan longitude
# Convert 'Spatial' object to 'sf' object
data_merge <- st_as_sf(data_merge)
# Calculate centroids and extract coordinates
koord <- st_coordinates(st_centroid(st_geometry(data_merge)))
# Display the first few coordinates
head(koord)
## X Y
## [1,] 140.6081 -4.287455
## [2,] 140.9543 -4.325820
## [3,] 140.4707 -4.766136
## [4,] 140.6986 -4.942022
## [5,] 140.2552 -4.656489
## [6,] 140.5646 -4.837338
Jarak Euclidean
Matriks Pembobot Berdasarkan Jarak (Distance)
Radial Distance Weight (d=15).
## Characteristics of weights list object:
## Neighbour list object:
## Number of regions: 277
## Number of nonzero links: 4620
## Percentage nonzero weights: 6.021191
## Average number of links: 16.6787
## Link number distribution:
##
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26
## 1 4 12 5 17 6 18 4 10 3 8 10 7 14 10 18 15 12 6 8 4 7 7 8 8 7
## 27 28 29 30 31 32 33 34 35 36 38
## 5 4 3 9 5 4 7 5 3 1 2
## 1 least connected region:
## 83 with 1 link
## 2 most connected regions:
## 173 186 with 38 links
##
## Weights style: W
## Weights constants summary:
## n nn S0 S1 S2
## W 277 76729 277 52.63887 1119.649
Inverse Distance Weight (IDW)
#inverse weight matrix
alpha1=1
w.idw=1/(D^alpha1)
# inverse weight matrix - row-normalized
diag(w.idw)<-0
rtot<-rowSums(w.idw, na.rm =T)
w.idw.sd<-w.idw/rtot
rowSums(w.idw.sd, na.rm=T)
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## Characteristics of weights list object:
## Neighbour list object:
## Number of regions: 277
## Number of nonzero links: 76452
## Percentage nonzero weights: 99.63899
## Average number of links: 276
## Link number distribution:
##
## 276
## 277
## 277 least connected regions:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 with 276 links
## 277 most connected regions:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 with 276 links
##
## Weights style: W
## Weights constants summary:
## n nn S0 S1 S2
## W 277 76729 277 4.953143 1117.267
Exponential Distance Weight
alpha=1
w.edw<-exp((-alpha)*D)
diag(w.edw)<-0
rtot<-rowSums(w.edw,na.rm=TRUE)
w.edw.sd<-w.edw/rtot #row-normalized
w.edw.s = mat2listw(w.edw.sd,style='W')
w.edw.s <- mat2listw(w.edw.sd,style='W') #untuk melihat matriks W
summary(w.edw.s)
## Characteristics of weights list object:
## Neighbour list object:
## Number of regions: 277
## Number of nonzero links: 76452
## Percentage nonzero weights: 99.63899
## Average number of links: 276
## Link number distribution:
##
## 276
## 277
## 277 least connected regions:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 with 276 links
## 277 most connected regions:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 with 276 links
##
## Weights style: W
## Weights constants summary:
## n nn S0 S1 S2
## W 277 76729 277 2.129346 1110.184
K-Nearest Neighbor (K=5)
# k = 5
w.knn<-knn2nb(knearneigh(koord,k=5,longlat=TRUE))
w.knn.s <- nb2listw(w.knn,style='W')
summary(w.knn.s)
## Characteristics of weights list object:
## Neighbour list object:
## Number of regions: 277
## Number of nonzero links: 1385
## Percentage nonzero weights: 1.805054
## Average number of links: 5
## Non-symmetric neighbours list
## Link number distribution:
##
## 5
## 277
## 277 least connected regions:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 with 5 links
## 277 most connected regions:
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 with 5 links
##
## Weights style: W
## Weights constants summary:
## n nn S0 S1 S2
## W 277 76729 277 98.04 1138.4
Matriks Pembobot Berdasarkan Ketetanggaan (Contiguity)
Rook Contiguity
## Neighbour list object:
## Number of regions: 277
## Number of nonzero links: 1494
## Percentage nonzero weights: 1.947113
## Average number of links: 5.393502
## Link number distribution:
##
## 2 3 4 5 6 7 8 9 10 11 12 13 18 19 23 24
## 4 45 67 54 51 26 12 5 3 3 2 1 1 1 1 1
## 4 least connected regions:
## 37 83 137 165 with 2 links
## 1 most connected region:
## 169 with 24 links
w.rook <- nb2mat(rook, style="B")
#standarisasi
diag(w.rook)<-0
rtot<-rowSums(w.rook, na.rm =T)
w.rook.sd<-w.rook/rtot
rowSums(w.rook.sd, na.rm=T)
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Queen Contiguity
## Neighbour list object:
## Number of regions: 277
## Number of nonzero links: 1506
## Percentage nonzero weights: 1.962752
## Average number of links: 5.436823
## Link number distribution:
##
## 2 3 4 5 6 7 8 9 10 11 12 13 18 19 23 24
## 4 44 65 57 50 25 10 9 2 4 2 1 1 1 1 1
## 4 least connected regions:
## 37 83 137 165 with 2 links
## 1 most connected region:
## 169 with 24 links
w.queen <- nb2mat(queen, style="B")
#standarisasi
diag(w.queen)<-0
rtot<-rowSums(w.queen, na.rm =T)
w.queen.sd<-w.queen/rtot
rowSums(w.queen.sd, na.rm=T)
## 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
## 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277
## 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
Autokorelasi Spasial
Matriks Pembobot Spasial Radial Distance Weight (d=15)
Indeks Moran Global
W.rdw <- nb2listw(w.rdw, style='W')
W.rdw2 <- nb2listw(w.rdw, style='B')
moran(data_merge$KEK, W.rdw, n=length(W.rdw$neighbours), S0=Szero(W.rdw))
## $I
## [1] 0.2774202
##
## $K
## [1] 18.9482
Kurtosis
IM <- moran.test(data_merge$KEK, W.rdw,randomisation=T,
alternative="greater", zero.policy = FALSE)
IM
##
## Moran I test under randomisation
##
## data: data_merge$KEK
## weights: W.rdw
##
## Moran I statistic standard deviate = 11.281, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.2774202493 -0.0036231884 0.0006206612
Karena nilai Moran’s I > 0 (bernilai positif) dan p-value < alpha 5%, maka cukup bukti untuk mengatakan bahwa ada autokorelasi spasial positif (lokasi yang berdekatan cenderung memiliki nilai yang mirip)
Indeks Moran Lokal
## Ii E.Ii Var.Ii Z.Ii Pr(z > E(Ii))
## 1 0.2035971603 -7.376709e-04 0.0402428298 1.01858704 0.1541995
## 2 0.0934837596 -7.376709e-04 0.0285327391 0.55779929 0.2884907
## 3 0.2096692831 -8.612240e-03 0.1397526672 0.58389791 0.2796445
## 4 -0.0372393247 -5.062083e-05 0.0005608504 -1.57031767 0.9418294
## 5 0.1685610783 -7.376709e-04 0.0178872021 1.26585086 0.1027832
## 6 -0.0004164114 -3.425436e-03 0.0361045585 0.01583597 0.4936826
data_merge$lmI <- LM[, "Ii"] # local Moran's I
data_merge$lmZ <- LM[, "Z.Ii"] # z-scores
# p-values corresponding to alternative greater
data_merge$lmp <- LM[, "Pr(z > E(Ii))"]
p1 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p1
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
p2 <- tm_shape(data_merge) +
tm_polygons(col = "lmp", title = "p-value",
breaks = c(-Inf, 0.05, Inf)) +
tm_layout(legend.outside = TRUE)
p2
Klasifikasi Warna :
Less than 0.05 = Ada Autokorelasi Positif
0.05 or more = Tidak Ada Autokorelasi Positif
## tmap mode set to interactive viewing
p3 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p3
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ",
title = "Local Moran's I", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Negative SAC", "No SAC", "Positive SAC"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Rentang nilai untuk klasifikasi warna, dengan:
-Inf hingga -1.96 mewakili Negative Spatial Autocorrelation (SAC).
-1.96 hingga 1.96 mewakili No Spatial Autocorrelation (No SAC).
1.96 hingga Inf mewakili Positive Spatial Autocorrelation (Positive SAC)
# Autokorelasi spasial positif (Z-score > 1.96)
positive_autocorr <- data_merge[data_merge$lmZ > 1.96, ]
# Autokorelasi spasial negatif (Z-score < -1.96)
negative_autocorr <- data_merge[data_merge$lmZ < -1.96, ]
# Area tanpa autokorelasi spasial (Z-score antara -1.96 dan 1.96)
no_autocorr <- data_merge[data_merge$lmZ >= -1.96 & data_merge$lmZ <= 1.96, ]
Moran Plot memiliki kemiringan positif: ini menunjukkan adanya autokorelasi spasial positif, di mana lokasi dengan nilai tinggi cenderung berdekatan dengan lokasi bernilai tinggi, dan lokasi bernilai rendah cenderung berdekatan dengan lokasi bernilai rendah.
Getis-Ord Gi
Mendeteksi adanya wilayah yang hotspot/coldspot.
## [1] -1.01858704 -0.55779929 0.58389791 -1.57031767 -1.26585086 0.01583597
## [7] -0.29187721 -0.39699968 -1.28890004 -0.02435708 -0.69798031 -0.77770318
## [13] -0.78609873 1.28923707 -1.35317274 -1.73344938 0.33085763 -1.01858704
## [19] -0.18198005 -1.43174321 -0.78609873 -0.62135822 -1.34748412 -1.19784904
## [25] 0.28639421 7.28303689 0.85162797 4.68939204 6.84520368 -0.90937568
## [31] -0.79972206 -0.88373988 -0.63901149 -0.87540779 -1.73344938 0.89488138
## [37] -0.78609873 0.26442350 -1.29561327 -0.77509302 -1.20968047 5.84660804
## [43] -1.43712578 -1.37886105 -1.42167103 -1.92119908 0.52113001 -0.47605657
## [49] -0.78651694 -0.36856416 -0.49958416 -0.64933258 -1.26638264 8.17571318
## [55] 7.80623778 7.39264672 -0.55203869 5.25144564 -0.57123687 1.44240627
## [61] -0.62124319 0.98681165 -0.14913046 0.33160457 -0.64362699 -1.01243401
## [67] -1.56786372 -1.11069373 -0.55614890 6.93801841 -1.34748412 -1.34748412
## [73] -0.31377048 -0.47689405 2.84064219 -0.90999658 -1.20238198 -1.01858704
## [79] -1.86024912 -1.11787060 -0.12649199 -0.33221411 0.11947923 -1.20968047
## [85] -1.17369127 -0.87716036 2.98092285 -0.88833621 6.96011843 -1.20968047
## [91] -0.72268193 0.23311494 -0.55779929 -1.11787060 -1.73344938 1.07604490
## [97] -0.82399472 -1.19776267 0.56450153 -1.01487395 0.69902352 0.58563925
## [103] 0.27296867 1.18523295 -1.20968047 -1.01858704 6.11230046 -0.18525077
## [109] 2.68899730 -0.38971324 7.03693285 -0.28437039 4.29245859 -0.69070753
## [115] 1.18523295 8.09201990 -0.78609873 -1.11787060 -0.77509302 3.90808405
## [121] -1.51372098 0.37895835 -1.92119908 7.77213613 3.10915718 0.84923421
## [127] 1.15701945 -1.92119908 -1.01858704 5.14794316 -1.66721494 0.99412244
## [133] 2.08441126 -0.52789255 -0.52789255 -0.90937568 3.03453971 -1.17078885
## [139] -1.26638264 0.09261845 -1.19030519 -0.88373988 -0.63260206 -0.98546246
## [145] 3.03453971 6.19149184 -0.12331651 -1.59877169 -0.96888758 -0.64067460
## [151] -1.08738024 -0.84490896 4.24127024 0.72723853 -1.42098051 -0.89050958
## [157] 0.74266089 0.49631440 -1.79772462 -1.07876005 -0.76646709 -1.57167816
## [163] -1.63699651 0.65240582 -1.03284927 -0.95639687 -0.82241181 0.82745842
## [169] 0.61955808 0.14563246 -1.28174329 0.83543909 0.09770559 -0.83944271
## [175] -0.88250534 1.13753378 -1.20968047 -0.42637502 -1.70804715 -0.88373988
## [181] 1.24606004 -0.94155138 -1.64096007 -0.69070753 -1.49476738 0.39513290
## [187] 0.23194836 -0.49745472 0.65240582 -1.09120711 -1.00388523 -1.20238198
## [193] 0.53025887 -0.59722757 -2.03895683 -0.78609873 0.83229286 -1.01858704
## [199] -0.62734701 -0.88373988 -0.50627720 5.14794316 0.36552307 0.09408189
## [205] -1.54919695 -1.42532709 -1.45397511 1.28923707 -1.98072503 -1.52611475
## [211] 5.09369832 3.34977143 -1.01858704 -0.88250534 0.99102489 -0.31884344
## [217] 0.31137561 -2.20694888 -0.78609873 0.65244978 -0.41009362 -0.07285891
## [223] 7.37869551 1.22842152 -0.31702708 0.99110659 0.16777281 1.24067261
## [229] -0.78609873 -1.42167103 6.44163321 -0.47216997 6.21896335 8.31934179
## [235] -1.11958522 0.70767470 -1.34748412 0.53506268 -1.01858704 -0.63183300
## [241] -1.01858704 -1.11958522 5.25703906 0.75237819 -0.30941180 -0.75986964
## [247] -1.42532709 -1.54876067 -0.62936479 2.55208567 -1.03187408 -0.41501916
## [253] -0.70354633 -2.09600737 7.67646100 -1.20968047 -1.01858704 5.18768135
## [259] -1.11787060 -1.00388523 0.21883148 2.07309136 -1.43124664 -0.82924147
## [265] 4.08227717 -1.00388523 -1.79772462 1.34713048 4.35430322 0.06585946
## [271] -0.63435466 0.99187727 5.51417690 3.19281325 3.11354752 0.19256523
## [277] -0.39534412
## attr(,"internals")
## Gi E(Gi) V(Gi) Z(Gi) Pr(z > E(Gi))
## [1,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [2,] 0.0019524894 0.003623188 8.970993e-06 -0.55779929 7.115093e-01
## [3,] 0.0047743056 0.003623188 3.886558e-06 0.58389791 2.796445e-01
## [4,] 0.0010944185 0.003623188 2.593245e-06 -1.57031767 9.418294e-01
## [5,] 0.0006212466 0.003623188 5.623924e-06 -1.26585086 8.972168e-01
## [6,] 0.0036482335 0.003623188 2.501240e-06 0.01583597 4.936826e-01
## [7,] 0.0022779043 0.003623188 2.124358e-05 -0.29187721 6.148097e-01
## [8,] 0.0030633886 0.003623188 1.988315e-06 -0.39699968 6.543162e-01
## [9,] 0.0012655024 0.003623188 3.346058e-06 -1.28890004 9.012836e-01
## [10,] 0.0035755149 0.003623188 3.830931e-06 -0.02435708 5.097161e-01
## [11,] 0.0024082569 0.003623188 3.029823e-06 -0.69798031 7.574052e-01
## [12,] 0.0023769436 0.003623188 2.567905e-06 -0.77770318 7.816280e-01
## [13,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [14,] 0.0054157132 0.003623188 1.933147e-06 1.28923707 9.865784e-02
## [15,] 0.0004141644 0.003623188 5.623924e-06 -1.35317274 9.119998e-01
## [16,] 0.0000000000 0.003623188 4.368773e-06 -1.73344938 9.584921e-01
## [17,] 0.0041701418 0.003623188 2.732866e-06 0.33085763 3.703760e-01
## [18,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [19,] 0.0032903063 0.003623188 3.346058e-06 -0.18198005 5.722008e-01
## [20,] 0.0010790073 0.003623188 3.157663e-06 -1.43174321 9.238913e-01
## [21,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [22,] 0.0007593014 0.003623188 2.124358e-05 -0.62135822 7.328180e-01
## [23,] 0.0005694761 0.003623188 5.135810e-06 -1.34748412 9.110878e-01
## [24,] 0.0016566577 0.003623188 2.695239e-06 -1.19784904 8.845121e-01
## [25,] 0.0041536864 0.003623188 3.431145e-06 0.28639421 3.872881e-01
## [26,] 0.0138306138 0.003623188 1.964298e-06 7.28303689 1.631940e-13
## [27,] 0.0054187192 0.003623188 4.445145e-06 0.85162797 1.972103e-01
## [28,] 0.0124899275 0.003623188 3.575154e-06 4.68939204 1.370090e-06
## [29,] 0.0127145582 0.003623188 1.763948e-06 6.84520368 3.818357e-12
## [30,] 0.0000000000 0.003623188 1.587432e-05 -0.90937568 8.184241e-01
## [31,] 0.0015186029 0.003623188 6.925562e-06 -0.79972206 7.880641e-01
## [32,] 0.0009762447 0.003623188 8.970993e-06 -0.88373988 8.115817e-01
## [33,] 0.0000000000 0.003623188 3.214878e-05 -0.63901149 7.385923e-01
## [34,] 0.0009829620 0.003623188 9.096232e-06 -0.87540779 8.093240e-01
## [35,] 0.0000000000 0.003623188 4.368773e-06 -1.73344938 9.584921e-01
## [36,] 0.0048066876 0.003623188 1.749061e-06 0.89488138 1.854253e-01
## [37,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [38,] 0.0045662100 0.003623188 1.271871e-05 0.26442350 3.957268e-01
## [39,] 0.0000000000 0.003623188 7.820438e-06 -1.29561327 9.024456e-01
## [40,] 0.0013016596 0.003623188 8.970993e-06 -0.77509302 7.808577e-01
## [41,] 0.0000000000 0.003623188 8.970993e-06 -1.20968047 8.867992e-01
## [42,] 0.0125740319 0.003623188 2.343797e-06 5.84660804 2.508489e-09
## [43,] 0.0011389522 0.003623188 2.988108e-06 -1.43712578 9.246589e-01
## [44,] 0.0013016596 0.003623188 2.834700e-06 -1.37886105 9.160312e-01
## [45,] 0.0008542141 0.003623188 3.793496e-06 -1.42167103 9.224391e-01
## [46,] 0.0000000000 0.003623188 3.556617e-06 -1.92119908 9.726467e-01
## [47,] 0.0047635850 0.003623188 4.788723e-06 0.52113001 3.011381e-01
## [48,] 0.0026212320 0.003623188 4.429764e-06 -0.47605657 6.829830e-01
## [49,] 0.0014236902 0.003623188 7.820438e-06 -0.78651694 7.842177e-01
## [50,] 0.0029816514 0.003623188 3.029823e-06 -0.36856416 6.437737e-01
## [51,] 0.0029681784 0.003623188 1.719011e-06 -0.49958416 6.913160e-01
## [52,] 0.0015186029 0.003623188 1.050507e-05 -0.64933258 7.419383e-01
## [53,] 0.0009762447 0.003623188 4.368773e-06 -1.26638264 8.973119e-01
## [54,] 0.0162013730 0.003623188 2.366926e-06 8.17571318 1.470604e-16
## [55,] 0.0156250000 0.003623188 2.363796e-06 7.80623778 2.946019e-15
## [56,] 0.0176335981 0.003623188 3.591714e-06 7.39264672 7.196727e-14
## [57,] 0.0027105922 0.003623188 2.732866e-06 -0.55203869 7.095391e-01
## [58,] 0.0116628702 0.003623188 2.343797e-06 5.25144564 7.545504e-08
## [59,] 0.0025458931 0.003623188 3.556617e-06 -0.57123687 7.160805e-01
## [60,] 0.0058314351 0.003623188 2.343797e-06 1.44240627 7.459390e-02
## [61,] 0.0011415525 0.003623188 1.595706e-05 -0.62124319 7.327802e-01
## [62,] 0.0049233756 0.003623188 1.735974e-06 0.98681165 1.618675e-01
## [63,] 0.0034168565 0.003623188 1.914256e-06 -0.14913046 5.592747e-01
## [64,] 0.0042153439 0.003623188 3.188823e-06 0.33160457 3.700939e-01
## [65,] 0.0022779043 0.003623188 4.368773e-06 -0.64362699 7.400913e-01
## [66,] 0.0013287775 0.003623188 5.135810e-06 -1.01243401 8.443347e-01
## [67,] 0.0005694761 0.003623188 3.793496e-06 -1.56786372 9.415435e-01
## [68,] 0.0013016596 0.003623188 4.368773e-06 -1.11069373 8.666499e-01
## [69,] 0.0027524677 0.003623188 2.451182e-06 -0.55614890 7.109455e-01
## [70,] 0.0150134603 0.003623188 2.695239e-06 6.93801841 1.988190e-12
## [71,] 0.0005694761 0.003623188 5.135810e-06 -1.34748412 9.110878e-01
## [72,] 0.0005694761 0.003623188 5.135810e-06 -1.34748412 9.110878e-01
## [73,] 0.0031890661 0.003623188 1.914256e-06 -0.31377048 6.231523e-01
## [74,] 0.0028202625 0.003623188 2.834700e-06 -0.47689405 6.832812e-01
## [75,] 0.0100607441 0.003623188 5.135810e-06 2.84064219 2.251140e-03
## [76,] 0.0018507973 0.003623188 3.793496e-06 -0.90999658 8.185878e-01
## [77,] 0.0012813212 0.003623188 3.793496e-06 -1.20238198 8.853922e-01
## [78,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [79,] 0.0000000000 0.003623188 3.793496e-06 -1.86024912 9.685749e-01
## [80,] 0.0000000000 0.003623188 1.050507e-05 -1.11787060 8.681889e-01
## [81,] 0.0032903063 0.003623188 6.925562e-06 -0.12649199 5.503288e-01
## [82,] 0.0026212320 0.003623188 9.096232e-06 -0.33221411 6.301362e-01
## [83,] 0.0045871560 0.003623188 6.509385e-05 0.11947923 4.524478e-01
## [84,] 0.0000000000 0.003623188 8.970993e-06 -1.20968047 8.867992e-01
## [85,] 0.0018525053 0.003623188 2.276009e-06 -1.17369127 8.797406e-01
## [86,] 0.0017897820 0.003623188 4.368773e-06 -0.87716036 8.098002e-01
## [87,] 0.0089740480 0.003623188 3.222149e-06 2.98092285 1.436906e-03
## [88,] 0.0011389522 0.003623188 7.820438e-06 -0.88833621 8.128200e-01
## [89,] 0.0187489049 0.003623188 4.722790e-06 6.96011843 1.699934e-12
## [90,] 0.0000000000 0.003623188 8.970993e-06 -1.20968047 8.867992e-01
## [91,] 0.0018223235 0.003623188 6.209661e-06 -0.72268193 7.650623e-01
## [92,] 0.0040496077 0.003623188 3.346058e-06 0.23311494 4.078361e-01
## [93,] 0.0019524894 0.003623188 8.970993e-06 -0.55779929 7.115093e-01
## [94,] 0.0000000000 0.003623188 1.050507e-05 -1.11787060 8.681889e-01
## [95,] 0.0000000000 0.003623188 4.368773e-06 -1.73344938 9.584921e-01
## [96,] 0.0051223242 0.003623188 1.940980e-06 1.07604490 1.409536e-01
## [97,] 0.0022935780 0.003623188 2.603754e-06 -0.82399472 7.950287e-01
## [98,] 0.0012842466 0.003623188 3.813268e-06 -1.19776267 8.844953e-01
## [99,] 0.0043323140 0.003623188 1.578033e-06 0.56450153 2.862064e-01
## [100,] 0.0021026809 0.003623188 2.244672e-06 -1.01487395 8.449170e-01
## [101,] 0.0045558087 0.003623188 1.780025e-06 0.69902352 2.422687e-01
## [102,] 0.0043988270 0.003623188 1.754117e-06 0.58563925 2.790590e-01
## [103,] 0.0040606121 0.003623188 2.567905e-06 0.27296867 3.924387e-01
## [104,] 0.0052410128 0.003623188 1.863182e-06 1.18523295 1.179627e-01
## [105,] 0.0000000000 0.003623188 8.970993e-06 -1.20968047 8.867992e-01
## [106,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [107,] 0.0127900603 0.003623188 2.249225e-06 6.11230046 4.910253e-10
## [108,] 0.0033029613 0.003623188 2.988108e-06 -0.18525077 5.734838e-01
## [109,] 0.0097701149 0.003623188 5.225590e-06 2.68899730 3.583350e-03
## [110,] 0.0028604119 0.003623188 3.830931e-06 -0.38971324 6.516257e-01
## [111,] 0.0143963554 0.003623188 2.343797e-06 7.03693285 9.825875e-13
## [112,] 0.0032059394 0.003623188 2.152890e-06 -0.28437039 6.119367e-01
## [113,] 0.0097056735 0.003623188 2.007936e-06 4.29245859 8.835276e-06
## [114,] 0.0022779043 0.003623188 3.793496e-06 -0.69070753 7.551253e-01
## [115,] 0.0052410128 0.003623188 1.863182e-06 1.18523295 1.179627e-01
## [116,] 0.0148741419 0.003623188 1.933147e-06 8.09201990 2.934166e-16
## [117,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [118,] 0.0000000000 0.003623188 1.050507e-05 -1.11787060 8.681889e-01
## [119,] 0.0013016596 0.003623188 8.970993e-06 -0.77509302 7.808577e-01
## [120,] 0.0110126242 0.003623188 3.575154e-06 3.90808405 4.651547e-05
## [121,] 0.0011911852 0.003623188 2.581289e-06 -1.51372098 9.349517e-01
## [122,] 0.0051369863 0.003623188 1.595706e-05 0.37895835 3.523594e-01
## [123,] 0.0000000000 0.003623188 3.556617e-06 -1.92119908 9.726467e-01
## [124,] 0.0146958305 0.003623188 2.029653e-06 7.77213613 3.858672e-15
## [125,] 0.0089977221 0.003623188 2.988108e-06 3.10915718 9.381094e-04
## [126,] 0.0047479402 0.003623188 1.754117e-06 0.84923421 1.978755e-01
## [127,] 0.0054472477 0.003623188 2.485402e-06 1.15701945 1.236322e-01
## [128,] 0.0000000000 0.003623188 3.556617e-06 -1.92119908 9.726467e-01
## [129,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [130,] 0.0130644343 0.003623188 3.363498e-06 5.14794316 1.316791e-07
## [131,] 0.0000000000 0.003623188 4.722790e-06 -1.66721494 9.522642e-01
## [132,] 0.0054416603 0.003623188 3.346058e-06 0.99412244 1.600816e-01
## [133,] 0.0067461013 0.003623188 2.244672e-06 2.08441126 1.856139e-02
## [134,] 0.0026575550 0.003623188 3.346058e-06 -0.52789255 7.012130e-01
## [135,] 0.0026575550 0.003623188 3.346058e-06 -0.52789255 7.012130e-01
## [136,] 0.0000000000 0.003623188 1.587432e-05 -0.90937568 8.184241e-01
## [137,] 0.0177880897 0.003623188 2.178921e-05 3.03453971 1.204515e-03
## [138,] 0.0016382700 0.003623188 2.874274e-06 -1.17078885 8.791582e-01
## [139,] 0.0009762447 0.003623188 4.368773e-06 -1.26638264 8.973119e-01
## [140,] 0.0037844037 0.003623188 3.029823e-06 0.09261845 4.631033e-01
## [141,] 0.0018398458 0.003623188 2.244672e-06 -1.19030519 8.830368e-01
## [142,] 0.0009762447 0.003623188 8.970993e-06 -0.88373988 8.115817e-01
## [143,] 0.0000000000 0.003623188 3.280353e-05 -0.63260206 7.365032e-01
## [144,] 0.0010170353 0.003623188 6.993904e-06 -0.98546246 8.378015e-01
## [145,] 0.0177880897 0.003623188 2.178921e-05 3.03453971 1.204515e-03
## [146,] 0.0131116390 0.003623188 2.348551e-06 6.19149184 2.979871e-10
## [147,] 0.0032978184 0.003623188 6.961658e-06 -0.12331651 5.490718e-01
## [148,] 0.0000000000 0.003623188 5.135810e-06 -1.59877169 9.450643e-01
## [149,] 0.0016704632 0.003623188 4.061959e-06 -0.96888758 8.336994e-01
## [150,] 0.0000000000 0.003623188 3.198209e-05 -0.64067460 7.391329e-01
## [151,] 0.0010377750 0.003623188 5.653236e-06 -1.08738024 8.615656e-01
## [152,] 0.0017084282 0.003623188 5.135810e-06 -0.84490896 8.009192e-01
## [153,] 0.0094912680 0.003623188 1.914256e-06 4.24127024 1.111292e-05
## [154,] 0.0049154778 0.003623188 3.157663e-06 0.72723853 2.335399e-01
## [155,] 0.0007593014 0.003623188 4.061959e-06 -1.42098051 9.223388e-01
## [156,] 0.0004555809 0.003623188 1.265277e-05 -0.89050958 8.134038e-01
## [157,] 0.0045871560 0.003623188 1.684782e-06 0.74266089 2.288435e-01
## [158,] 0.0042694497 0.003623188 1.695519e-06 0.49631440 3.098363e-01
## [159,] 0.0000000000 0.003623188 4.061959e-06 -1.79772462 9.638897e-01
## [160,] 0.0007645260 0.003623188 7.022246e-06 -1.07876005 8.596526e-01
## [161,] 0.0011389522 0.003623188 1.050507e-05 -0.76646709 7.783008e-01
## [162,] 0.0004555809 0.003623188 4.061959e-06 -1.57167816 9.419874e-01
## [163,] 0.0005359775 0.003623188 3.556617e-06 -1.63699651 9.491844e-01
## [164,] 0.0044560944 0.003623188 1.629882e-06 0.65240582 2.570697e-01
## [165,] 0.0014643671 0.003623188 4.368773e-06 -1.03284927 8.491628e-01
## [166,] 0.0021902926 0.003623188 2.244672e-06 -0.95639687 8.305641e-01
## [167,] 0.0024406118 0.003623188 2.067664e-06 -0.82241181 7.945787e-01
## [168,] 0.0046898030 0.003623188 1.661586e-06 0.82745842 2.039886e-01
## [169,] 0.0044218143 0.003623188 1.661586e-06 0.61955808 2.677744e-01
## [170,] 0.0038210008 0.003623188 1.844976e-06 0.14563246 4.421058e-01
## [171,] 0.0012059494 0.003623188 3.556617e-06 -1.28174329 9.000336e-01
## [172,] 0.0047261607 0.003623188 1.743009e-06 0.83543909 2.017353e-01
## [173,] 0.0037421535 0.003623188 1.482520e-06 0.09770559 4.610830e-01
## [174,] 0.0023655160 0.003623188 2.244672e-06 -0.83944271 7.993895e-01
## [175,] 0.0021743632 0.003623188 2.695239e-06 -0.88250534 8.112482e-01
## [176,] 0.0051790471 0.003623188 1.870732e-06 1.13753378 1.276576e-01
## [177,] 0.0000000000 0.003623188 8.970993e-06 -1.20968047 8.867992e-01
## [178,] 0.0030100879 0.003623188 2.067664e-06 -0.42637502 6.650827e-01
## [179,] 0.0004019831 0.003623188 3.556617e-06 -1.70804715 9.561862e-01
## [180,] 0.0009762447 0.003623188 8.970993e-06 -0.88373988 8.115817e-01
## [181,] 0.0062541145 0.003623188 4.457993e-06 1.24606004 1.063712e-01
## [182,] 0.0015770107 0.003623188 4.722790e-06 -0.94155138 8.267888e-01
## [183,] 0.0004271071 0.003623188 3.793496e-06 -1.64096007 9.495971e-01
## [184,] 0.0022779043 0.003623188 3.793496e-06 -0.69070753 7.551253e-01
## [185,] 0.0007118451 0.003623188 3.793496e-06 -1.49476738 9.325124e-01
## [186,] 0.0041042974 0.003623188 1.482520e-06 0.39513290 3.463724e-01
## [187,] 0.0039863326 0.003623188 2.451182e-06 0.23194836 4.082891e-01
## [188,] 0.0028882093 0.003623188 2.182945e-06 -0.49745472 6.905658e-01
## [189,] 0.0044560944 0.003623188 1.629882e-06 0.65240582 2.570697e-01
## [190,] 0.0010354111 0.003623188 5.623924e-06 -1.09120711 8.624091e-01
## [191,] 0.0012424933 0.003623188 5.623924e-06 -1.00388523 8.422830e-01
## [192,] 0.0012813212 0.003623188 3.793496e-06 -1.20238198 8.853922e-01
## [193,] 0.0042954767 0.003623188 1.607442e-06 0.53025887 2.979662e-01
## [194,] 0.0024481567 0.003623188 3.870967e-06 -0.59722757 7.248223e-01
## [195,] 0.0000000000 0.003623188 3.157663e-06 -2.03895683 9.792728e-01
## [196,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [197,] 0.0054319257 0.003623188 4.722790e-06 0.83229286 2.026218e-01
## [198,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [199,] 0.0013761468 0.003623188 1.282941e-05 -0.62734701 7.347841e-01
## [200,] 0.0009762447 0.003623188 8.970993e-06 -0.88373988 8.115817e-01
## [201,] 0.0018223235 0.003623188 1.265277e-05 -0.50627720 6.936690e-01
## [202,] 0.0130644343 0.003623188 3.363498e-06 5.14794316 1.316791e-07
## [203,] 0.0043173233 0.003623188 3.606269e-06 0.36552307 3.573605e-01
## [204,] 0.0039049788 0.003623188 8.970993e-06 0.09408189 4.625221e-01
## [205,] 0.0006761325 0.003623188 3.618791e-06 -1.54919695 9.393328e-01
## [206,] 0.0005256702 0.003623188 4.722790e-06 -1.42532709 9.229687e-01
## [207,] 0.0000000000 0.003623188 6.209661e-06 -1.45397511 9.270234e-01
## [208,] 0.0054157132 0.003623188 1.933147e-06 1.28923707 9.865784e-02
## [209,] 0.0000000000 0.003623188 3.346058e-06 -1.98072503 9.761889e-01
## [210,] 0.0012338648 0.003623188 2.451182e-06 -1.52611475 9.365094e-01
## [211,] 0.0117856789 0.003623188 2.567905e-06 5.09369832 1.755727e-07
## [212,] 0.0097666159 0.003623188 3.363498e-06 3.34977143 4.043914e-04
## [213,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [214,] 0.0021743632 0.003623188 2.695239e-06 -0.88250534 8.112482e-01
## [215,] 0.0049568966 0.003623188 1.811142e-06 0.99102489 1.608367e-01
## [216,] 0.0027841053 0.003623188 6.925562e-06 -0.31884344 6.250774e-01
## [217,] 0.0045558087 0.003623188 8.970993e-06 0.31137561 3.777575e-01
## [218,] 0.0000000000 0.003623188 2.695239e-06 -2.20694888 9.863412e-01
## [219,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [220,] 0.0044727568 0.003623188 1.695519e-06 0.65244978 2.570555e-01
## [221,] 0.0027660267 0.003623188 4.368773e-06 -0.41009362 6.591314e-01
## [222,] 0.0034403670 0.003623188 6.296351e-06 -0.07285891 5.290408e-01
## [223,] 0.0145903479 0.003623188 2.209170e-06 7.37869551 7.992397e-14
## [224,] 0.0061162080 0.003623188 4.118666e-06 1.22842152 1.096444e-01
## [225,] 0.0030751708 0.003623188 2.988108e-06 -0.31702708 6.243885e-01
## [226,] 0.0056947608 0.003623188 4.368773e-06 0.99110659 1.608168e-01
## [227,] 0.0045766590 0.003623188 3.229769e-05 0.16777281 4.333810e-01
## [228,] 0.0053516820 0.003623188 1.940980e-06 1.24067261 1.073634e-01
## [229,] 0.0000000000 0.003623188 2.124358e-05 -0.78609873 7.840952e-01
## [230,] 0.0008542141 0.003623188 3.793496e-06 -1.42167103 9.224391e-01
## [231,] 0.0136130536 0.003623188 2.405068e-06 6.44163321 5.909732e-11
## [232,] 0.0022935780 0.003623188 7.929615e-06 -0.47216997 6.815973e-01
## [233,] 0.0123446630 0.003623188 1.966726e-06 6.21896335 2.502251e-10
## [234,] 0.0171277997 0.003623188 2.635034e-06 8.31934179 4.422657e-17
## [235,] 0.0013667426 0.003623188 4.061959e-06 -1.11958522 8.685547e-01
## [236,] 0.0049577918 0.003623188 3.556617e-06 0.70767470 2.395736e-01
## [237,] 0.0005694761 0.003623188 5.135810e-06 -1.34748412 9.110878e-01
## [238,] 0.0044608960 0.003623188 2.451182e-06 0.53506268 2.963033e-01
## [239,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [240,] 0.0013698630 0.003623188 1.271871e-05 -0.63183300 7.362520e-01
## [241,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [242,] 0.0013667426 0.003623188 4.061959e-06 -1.11958522 8.685547e-01
## [243,] 0.0124742380 0.003623188 2.834700e-06 5.25703906 7.319662e-08
## [244,] 0.0046269932 0.003623188 1.780025e-06 0.75237819 2.259118e-01
## [245,] 0.0028032620 0.003623188 7.022246e-06 -0.30941180 6.214959e-01
## [246,] 0.0009132420 0.003623188 1.271871e-05 -0.75986964 7.763337e-01
## [247,] 0.0005256702 0.003623188 4.722790e-06 -1.42532709 9.229687e-01
## [248,] 0.0005760369 0.003623188 3.870967e-06 -1.54876067 9.392804e-01
## [249,] 0.0026997385 0.003623188 2.152890e-06 -0.62936479 7.354449e-01
## [250,] 0.0139211137 0.003623188 1.628205e-05 2.55208567 5.354009e-03
## [251,] 0.0015290520 0.003623188 4.118666e-06 -1.03187408 8.489344e-01
## [252,] 0.0025310048 0.003623188 6.925562e-06 -0.41501916 6.609361e-01
## [253,] 0.0017717034 0.003623188 6.925562e-06 -0.70354633 7.591423e-01
## [254,] 0.0000000000 0.003623188 2.988108e-06 -2.09600737 9.819592e-01
## [255,] 0.0172641170 0.003623188 3.157663e-06 7.67646100 8.177191e-15
## [256,] 0.0000000000 0.003623188 8.970993e-06 -1.20968047 8.867992e-01
## [257,] 0.0000000000 0.003623188 1.265277e-05 -1.01858704 8.458005e-01
## [258,] 0.0130249867 0.003623188 3.284545e-06 5.18768135 1.064643e-07
## [259,] 0.0000000000 0.003623188 1.050507e-05 -1.11787060 8.681889e-01
## [260,] 0.0012424933 0.003623188 5.623924e-06 -1.00388523 8.422830e-01
## [261,] 0.0039151481 0.003623188 1.780025e-06 0.21883148 4.133907e-01
## [262,] 0.0066649793 0.003623188 2.152890e-06 2.07309136 1.908189e-02
## [263,] 0.0003796507 0.003623188 5.135810e-06 -1.43124664 9.238202e-01
## [264,] 0.0016566577 0.003623188 5.623924e-06 -0.82924147 7.965161e-01
## [265,] 0.0118721461 0.003623188 4.083130e-06 4.08227717 2.229828e-05
## [266,] 0.0012424933 0.003623188 5.623924e-06 -1.00388523 8.422830e-01
## [267,] 0.0000000000 0.003623188 4.061959e-06 -1.79772462 9.638897e-01
## [268,] 0.0061637411 0.003623188 3.556617e-06 1.34713048 8.896911e-02
## [269,] 0.0104403948 0.003623188 2.451182e-06 4.35430322 6.674542e-06
## [270,] 0.0037965072 0.003623188 6.925562e-06 0.06585946 4.737449e-01
## [271,] 0.0013667426 0.003623188 1.265277e-05 -0.63435466 7.370753e-01
## [272,] 0.0054937693 0.003623188 3.556617e-06 0.99187727 1.606287e-01
## [273,] 0.0115522291 0.003623188 2.067664e-06 5.51417690 1.752080e-08
## [274,] 0.0185185185 0.003623188 2.176473e-05 3.19281325 7.044702e-04
## [275,] 0.0097031963 0.003623188 3.813268e-06 3.11354752 9.242637e-04
## [276,] 0.0039179954 0.003623188 2.343797e-06 0.19256523 4.236497e-01
## [277,] 0.0030861930 0.003623188 1.844976e-06 -0.39534412 6.537055e-01
## attr(,"cluster")
## [1] Low Low High High Low High Low Low Low High High Low Low High Low
## [16] Low High Low Low Low Low Low Low Low High High High Low High Low
## [31] Low Low Low High Low High Low Low Low Low Low Low Low Low Low
## [46] Low High High Low High Low Low Low High High High High Low Low Low
## [61] Low High Low High Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low High High Low High Low High Low Low Low
## [91] Low Low Low Low Low High High Low High Low Low High Low High Low
## [106] Low High Low High High Low Low High Low High High Low Low Low Low
## [121] Low Low Low High Low High High Low Low Low Low Low Low Low Low
## [136] Low High High Low High Low Low High High High High Low Low Low Low
## [151] Low Low Low Low Low Low High High Low High Low Low Low High Low
## [166] Low Low Low Low Low Low High High Low Low High Low Low Low Low
## [181] High Low Low Low Low High Low High High Low Low Low Low High Low
## [196] Low Low Low High Low Low Low High Low High Low Low High Low Low
## [211] Low Low Low Low High Low Low Low Low High Low High High High Low
## [226] Low High High Low Low High High High High Low Low Low Low Low Low
## [241] Low Low Low Low High Low Low High Low High High Low Low Low Low
## [256] Low Low High Low Low Low Low Low Low Low Low Low Low Low Low
## [271] Low Low Low High Low Low Low
## Levels: Low High
## attr(,"gstari")
## [1] FALSE
## attr(,"call")
## localG(x = data_merge$KEK, listw = W.rdw, alternative = "greater")
## attr(,"class")
## [1] "localG"
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ2",
title = "Local Gi", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Coldspot", "No SAC", "Hotspot"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Matriks Pembobot Spasial Inverse Distance Weight
Indeks Moran Global
W.idw <- mat2listw(w.idw, style='W')
moran(data_merge$KEK, W.idw, n=length(W.idw$neighbours), S0=Szero(W.idw))
## $I
## [1] 0.1130384
##
## $K
## [1] 18.9482
Kurtosis
IM <- moran.test(data_merge$KEK, W.idw,randomisation=T,
alternative="greater", zero.policy = FALSE)
IM
##
## Moran I test under randomisation
##
## data: data_merge$KEK
## weights: W.idw
##
## Moran I statistic standard deviate = 19.51, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 1.130384e-01 -3.623188e-03 3.575541e-05
Karena nilai Moran’s I > 0 (bernilai positif) dan p-value < alpha 5%, maka cukup bukti untuk mengatakan bahwa ada autokorelasi spasial positif (lokasi yang berdekatan cenderung memiliki nilai yang mirip)
Indeks Moran Lokal
## Ii E.Ii Var.Ii Z.Ii Pr(z > E(Ii))
## 1 0.01947620 -7.376709e-04 2.496782e-04 1.2792607 0.1004026
## 2 0.01712903 -7.376709e-04 4.332487e-04 0.8583723 0.1953435
## 3 0.03770718 -8.612240e-03 8.644418e-03 0.4981903 0.3091750
## 4 -0.01523860 -5.062083e-05 4.568421e-05 -2.2470710 0.9876823
## 5 0.01424062 -7.376709e-04 1.565552e-03 0.3785546 0.3525093
## 6 -0.05410789 -3.425436e-03 2.881584e-03 -0.9441523 0.8274541
data_merge$lmI <- LM[, "Ii"] # local Moran's I
data_merge$lmZ <- LM[, "Z.Ii"] # z-scores
# p-values corresponding to alternative greater
data_merge$lmp <- LM[, "Pr(z > E(Ii))"]
p1 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p1
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
p2 <- tm_shape(data_merge) +
tm_polygons(col = "lmp", title = "p-value",
breaks = c(-Inf, 0.05, Inf)) +
tm_layout(legend.outside = TRUE)
p2
Klasifikasi Warna :
Less than 0.05 = Ada Autokorelasi Positif
0.05 or more = Tidak Ada Autokorelasi Positif
## tmap mode set to interactive viewing
p3 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p3
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ",
title = "Local Moran's I", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Negative SAC", "No SAC", "Positive SAC"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Rentang nilai untuk klasifikasi warna, dengan:
-Inf hingga -1.96 mewakili Negative Spatial Autocorrelation (SAC).
-1.96 hingga 1.96 mewakili No Spatial Autocorrelation (No SAC).
1.96 hingga Inf mewakili Positive Spatial Autocorrelation (Positive SAC)
# Autokorelasi spasial positif (Z-score > 1.96)
positive_autocorr <- data_merge[data_merge$lmZ > 1.96, ]
# Autokorelasi spasial negatif (Z-score < -1.96)
negative_autocorr <- data_merge[data_merge$lmZ < -1.96, ]
# Area tanpa autokorelasi spasial (Z-score antara -1.96 dan 1.96)
no_autocorr <- data_merge[data_merge$lmZ >= -1.96 & data_merge$lmZ <= 1.96, ]
Moran Plot memiliki kemiringan positif: ini menunjukkan adanya autokorelasi spasial positif, di mana lokasi dengan nilai tinggi cenderung berdekatan dengan lokasi bernilai tinggi, dan lokasi bernilai rendah cenderung berdekatan dengan lokasi bernilai rendah.
Getis-Ord Gi
Mendeteksi adanya wilayah yang hotspot/coldspot.
## [1] -1.279260750 -0.858372256 0.498190301 -2.247071035 -0.378554578
## [6] -0.944152310 -0.445399843 -1.335026152 -1.342082350 0.744299352
## [11] 1.519684712 -1.128685757 -1.965131204 0.037175336 -1.874462497
## [16] -1.538558714 0.069012474 -2.334062306 -1.337771804 -0.966991992
## [21] -1.742218298 0.706155517 -0.921037316 -1.399989894 -0.380411424
## [26] 9.205054744 2.840505309 2.967987317 8.501967106 1.426663219
## [31] -0.863944428 -1.079396956 0.765370579 -1.036157166 -2.147189882
## [36] 0.823439153 -2.567232844 1.058102689 -1.821734140 3.001472729
## [41] -2.718289190 6.491453116 -2.208040269 -1.782312906 -1.061195999
## [46] -2.019429092 0.952501441 0.130633393 -0.438156149 0.298404916
## [51] -1.264165546 -0.077940618 -1.013052073 7.563328764 7.376048210
## [56] 4.340330375 0.908895467 4.218090193 -1.612076347 2.146202888
## [61] -0.046290344 0.777349745 -1.572477291 -0.935125932 -1.455709849
## [66] -2.717576217 -2.421762524 -0.227920935 -1.564158399 7.503615227
## [71] -0.883901260 -2.794685626 -1.697679432 -1.424297190 4.223952204
## [76] -0.948733146 -0.927777475 -2.415343483 -1.637852982 -2.446478769
## [81] 0.062525874 0.402563819 0.875134685 -1.723207590 -1.617785706
## [86] -1.460493985 2.644620600 -0.431214470 4.353153538 -2.611782713
## [91] 1.690457552 -0.572639009 -1.583779210 -2.326321381 -2.122455136
## [96] -0.232324341 1.093174033 -1.887317209 0.394542616 -1.026138031
## [101] -0.358439653 -0.032565620 -1.065765762 0.386152326 -2.825179785
## [106] 1.994676022 7.308647338 0.923058127 5.194217116 1.505947645
## [111] 7.316738091 -1.164392532 3.265044507 0.274872961 0.248745542
## [116] 8.346874793 -0.716339422 -0.583566787 -0.279381031 2.883450210
## [121] -1.727569901 0.723633731 -1.860799589 5.377814359 3.423276668
## [126] 0.798427592 -0.521400766 -1.573348281 -2.524270275 2.844982985
## [131] -0.935547517 1.178701686 2.201451944 0.747524521 1.045744453
## [136] -2.041285849 2.279086671 -1.090559227 -1.083463940 -1.236553605
## [141] -1.245802448 -1.006401495 -0.040369109 -1.235646624 2.477926949
## [146] 5.830820571 0.333748091 -2.721119460 -1.901408034 -1.414094216
## [151] -0.963806457 -2.280089104 2.510614483 2.560679019 -2.100017175
## [156] -1.959980297 0.424675359 0.721463859 -1.354323673 -1.346788995
## [161] -1.729479575 -1.274292375 -2.253575001 0.466993983 -1.391607981
## [166] -1.443639958 -1.778009201 0.282096124 0.711009506 -1.209717290
## [171] -1.189612718 0.213381750 0.001225376 -1.423699812 -1.331842300
## [176] 0.873461759 -2.024547054 -1.369017508 -1.248919071 -1.013682217
## [181] 0.774546014 -0.727015670 -1.250525301 -1.512589045 -1.860207162
## [186] 0.302798270 -1.300504668 -1.362469531 0.362145699 -1.615166780
## [191] -1.183334504 -1.420208092 -0.277278866 0.019728424 -1.878159660
## [196] -2.622440323 2.589770513 -2.424945352 1.166575793 1.719192732
## [201] 1.026557434 2.981694299 -0.728563683 -0.282120734 -1.710431603
## [206] -0.829470762 -1.717934391 0.903327863 -1.922285721 -1.737278534
## [211] 4.433874661 3.860209942 -1.253096027 -1.364812074 0.134248818
## [216] 2.887265801 -0.437747491 -1.787219688 -2.437041889 0.976196432
## [221] 1.845241352 0.809227596 9.471827139 0.042493479 0.794417351
## [226] -0.264011037 0.790693397 0.384532678 0.881116028 -0.945670818
## [231] 8.267264481 -0.255133205 5.699069175 8.860900586 -1.010803911
## [236] -0.305863704 -0.657598383 1.315675988 -2.596691945 -0.141439232
## [241] -2.439236336 -1.506585133 5.363868209 -0.125247414 0.206311776
## [246] -0.192328123 -0.969068531 -1.701622822 -1.431436298 1.710955099
## [251] -1.569744480 -0.133112133 -0.324663931 -1.776417488 6.932767785
## [256] -2.620057522 -2.405378751 4.826071805 -2.887894769 -1.084841748
## [261] -0.952133658 1.779765160 -2.213717410 -0.731161252 3.470935484
## [266] -0.680944973 -1.317017057 -0.479413326 3.914262736 0.515654321
## [271] -1.504825386 3.363270356 4.695874383 2.613428193 3.254599682
## [276] -1.102239827 -1.637584630
## attr(,"internals")
## Gi E(Gi) V(Gi) Z(Gi) Pr(z > E(Gi))
## [1,] 0.003264764 0.003623188 7.850146e-08 -1.279260750 8.995974e-01
## [2,] 0.003306383 0.003623188 1.362179e-07 -0.858372256 8.046565e-01
## [3,] 0.003867456 0.003623188 2.404035e-07 0.498190301 3.091750e-01
## [4,] 0.002590431 0.003623188 2.112334e-07 -2.247071035 9.876823e-01
## [5,] 0.003357599 0.003623188 4.922259e-07 -0.378554578 6.474907e-01
## [6,] 0.003201342 0.003623188 1.996294e-07 -0.944152310 8.274541e-01
## [7,] 0.003502011 0.003623188 7.401870e-08 -0.445399843 6.719846e-01
## [8,] 0.002819573 0.003623188 3.623409e-07 -1.335026152 9.090661e-01
## [9,] 0.002857655 0.003623188 3.253645e-07 -1.342082350 9.102154e-01
## [10,] 0.003973958 0.003623188 2.221002e-07 0.744299352 2.283477e-01
## [11,] 0.004372810 0.003623188 2.433198e-07 1.519684712 6.429512e-02
## [12,] 0.003079691 0.003623188 2.318725e-07 -1.128685757 8.704848e-01
## [13,] 0.002916060 0.003623188 1.294831e-07 -1.965131204 9.753005e-01
## [14,] 0.003644947 0.003623188 3.425871e-07 0.037175336 4.851726e-01
## [15,] 0.002851907 0.003623188 1.693058e-07 -1.874462497 9.695666e-01
## [16,] 0.003039477 0.003623188 1.439356e-07 -1.538558714 9.380440e-01
## [17,] 0.003656450 0.003623188 2.322919e-07 0.069012474 4.724898e-01
## [18,] 0.002519735 0.003623188 2.235028e-07 -2.334062306 9.902038e-01
## [19,] 0.003019504 0.003623188 2.036368e-07 -1.337771804 9.095146e-01
## [20,] 0.002959359 0.003623188 4.712679e-07 -0.966991992 8.332260e-01
## [21,] 0.003035170 0.003623188 1.139140e-07 -1.742218298 9.592649e-01
## [22,] 0.003919132 0.003623188 1.756373e-07 0.706155517 2.400457e-01
## [23,] 0.002574841 0.003623188 1.295556e-06 -0.921037316 8.214845e-01
## [24,] 0.002563427 0.003623188 5.730152e-07 -1.399989894 9.192418e-01
## [25,] 0.003411023 0.003623188 3.110591e-07 -0.380411424 6.481800e-01
## [26,] 0.010441002 0.003623188 5.485768e-07 9.205054744 1.707486e-20
## [27,] 0.005418063 0.003623188 3.992795e-07 2.840505309 2.252106e-03
## [28,] 0.006093493 0.003623188 6.927506e-07 2.967987317 1.498783e-03
## [29,] 0.009240104 0.003623188 4.364726e-07 8.501967106 9.320232e-18
## [30,] 0.004180027 0.003623188 1.523406e-07 1.426663219 7.683850e-02
## [31,] 0.002824102 0.003623188 8.554923e-07 -0.863944428 8.061908e-01
## [32,] 0.002647619 0.003623188 8.168715e-07 -1.079396956 8.597946e-01
## [33,] 0.003903557 0.003623188 1.341888e-07 0.765370579 2.220255e-01
## [34,] 0.003001162 0.003623188 3.603843e-07 -1.036157166 8.499356e-01
## [35,] 0.002871545 0.003623188 1.225414e-07 -2.147189882 9.841109e-01
## [36,] 0.004239391 0.003623188 5.599944e-07 0.823439153 2.051292e-01
## [37,] 0.002599038 0.003623188 1.591465e-07 -2.567232844 9.948743e-01
## [38,] 0.004044242 0.003623188 1.583506e-07 1.058102689 1.450043e-01
## [39,] 0.002987172 0.003623188 1.218895e-07 -1.821734140 9.657523e-01
## [40,] 0.004509197 0.003623188 8.713795e-08 3.001472729 1.343386e-03
## [41,] 0.002461073 0.003623188 1.827711e-07 -2.718289190 9.967190e-01
## [42,] 0.008278671 0.003623188 5.143343e-07 6.491453116 4.250618e-11
## [43,] 0.002598469 0.003623188 2.153753e-07 -2.208040269 9.863793e-01
## [44,] 0.002597499 0.003623188 3.311796e-07 -1.782312906 9.626509e-01
## [45,] 0.002678792 0.003623188 7.919852e-07 -1.061195999 8.556996e-01
## [46,] 0.002797767 0.003623188 1.670686e-07 -2.019429092 9.782787e-01
## [47,] 0.003994882 0.003623188 1.522790e-07 0.952501441 1.704214e-01
## [48,] 0.003675902 0.003623188 1.628328e-07 0.130633393 4.480327e-01
## [49,] 0.003417009 0.003623188 2.214280e-07 -0.438156149 6.693635e-01
## [50,] 0.003822122 0.003623188 4.444294e-07 0.298404916 3.826971e-01
## [51,] 0.002841633 0.003623188 3.822182e-07 -1.264165546 8.969147e-01
## [52,] 0.003576076 0.003623188 3.653761e-07 -0.077940618 5.310624e-01
## [53,] 0.002658496 0.003623188 9.068053e-07 -1.013052073 8.444824e-01
## [54,] 0.008688315 0.003623188 4.484919e-07 7.563328764 1.964415e-14
## [55,] 0.010138411 0.003623188 7.802091e-07 7.376048210 8.152850e-14
## [56,] 0.006161218 0.003623188 3.419384e-07 4.340330375 7.113433e-06
## [57,] 0.004149751 0.003623188 3.356389e-07 0.908895467 1.817027e-01
## [58,] 0.005783310 0.003623188 2.622555e-07 4.218090193 1.231901e-05
## [59,] 0.002881154 0.003623188 2.118736e-07 -1.612076347 9.465273e-01
## [60,] 0.004752518 0.003623188 2.768855e-07 2.146202888 1.592840e-02
## [61,] 0.003586045 0.003623188 6.438632e-07 -0.046290344 5.184606e-01
## [62,] 0.004131960 0.003623188 4.283633e-07 0.777349745 2.184762e-01
## [63,] 0.002890784 0.003623188 2.169367e-07 -1.572477291 9.420800e-01
## [64,] 0.003245409 0.003623188 1.632064e-07 -0.935125932 8.251383e-01
## [65,] 0.003032949 0.003623188 1.644020e-07 -1.455709849 9.272636e-01
## [66,] 0.002564804 0.003623188 1.516782e-07 -2.717576217 9.967119e-01
## [67,] 0.002560725 0.003623188 1.924709e-07 -2.421762524 9.922773e-01
## [68,] 0.003544521 0.003623188 1.191305e-07 -0.227920935 5.901461e-01
## [69,] 0.002832068 0.003623188 2.558134e-07 -1.564158399 9.411098e-01
## [70,] 0.008386100 0.003623188 4.029062e-07 7.503615227 3.104068e-14
## [71,] 0.002659536 0.003623188 1.188593e-06 -0.883901260 8.116252e-01
## [72,] 0.002489559 0.003623188 1.645418e-07 -2.794685626 9.974025e-01
## [73,] 0.002858738 0.003623188 2.027622e-07 -1.697679432 9.552159e-01
## [74,] 0.003127503 0.003623188 1.211189e-07 -1.424297190 9.228198e-01
## [75,] 0.006367503 0.003623188 4.221142e-07 4.223952204 1.200275e-05
## [76,] 0.002835674 0.003623188 6.890160e-07 -0.948733146 8.286218e-01
## [77,] 0.002559629 0.003623188 1.314122e-06 -0.927777475 8.232385e-01
## [78,] 0.002480736 0.003623188 2.237269e-07 -2.415343483 9.921398e-01
## [79,] 0.002729858 0.003623188 2.974913e-07 -1.637852982 9.492738e-01
## [80,] 0.002459097 0.003623188 2.264076e-07 -2.446478769 9.927870e-01
## [81,] 0.003657731 0.003623188 3.051974e-07 0.062525874 4.750720e-01
## [82,] 0.003889857 0.003623188 4.388085e-07 0.402563819 3.436346e-01
## [83,] 0.003886244 0.003623188 9.035323e-08 0.875134685 1.907503e-01
## [84,] 0.003077487 0.003623188 1.002848e-07 -1.723207590 9.575745e-01
## [85,] 0.002492390 0.003623188 4.885722e-07 -1.617785706 9.471456e-01
## [86,] 0.002917777 0.003623188 2.332845e-07 -1.460493985 9.279228e-01
## [87,] 0.005891550 0.003623188 7.356948e-07 2.644620600 4.089128e-03
## [88,] 0.003434088 0.003623188 1.923082e-07 -0.431214470 6.668438e-01
## [89,] 0.005852043 0.003623188 2.621535e-07 4.353153538 6.709655e-06
## [90,] 0.002482404 0.003623188 1.907800e-07 -2.611782713 9.954964e-01
## [91,] 0.004371851 0.003623188 1.961390e-07 1.690457552 4.547023e-02
## [92,] 0.003417722 0.003623188 1.287424e-07 -0.572639009 7.165554e-01
## [93,] 0.003067253 0.003623188 1.232137e-07 -1.583779210 9.433780e-01
## [94,] 0.002818507 0.003623188 1.196488e-07 -2.326321381 9.899993e-01
## [95,] 0.002899419 0.003623188 1.162848e-07 -2.122455136 9.831002e-01
## [96,] 0.003500267 0.003623188 2.799382e-07 -0.232324341 5.918569e-01
## [97,] 0.004259077 0.003623188 3.383640e-07 1.093174033 1.371587e-01
## [98,] 0.002635378 0.003623188 2.739411e-07 -1.887317209 9.704412e-01
## [99,] 0.003904238 0.003623188 5.074329e-07 0.394542616 3.465902e-01
## [100,] 0.003007799 0.003623188 3.596569e-07 -1.026138031 8.475867e-01
## [101,] 0.003446852 0.003623188 2.420191e-07 -0.358439653 6.399928e-01
## [102,] 0.003600062 0.003623188 5.043105e-07 -0.032565620 5.129895e-01
## [103,] 0.003181574 0.003623188 1.716970e-07 -1.065765762 8.567352e-01
## [104,] 0.003924696 0.003623188 6.096470e-07 0.386152326 3.496919e-01
## [105,] 0.002465215 0.003623188 1.679984e-07 -2.825179785 9.976373e-01
## [106,] 0.004445547 0.003623188 1.699723e-07 1.994676022 2.303911e-02
## [107,] 0.010810854 0.003623188 9.671676e-07 7.308647338 1.349225e-13
## [108,] 0.004242354 0.003623188 4.499414e-07 0.923058127 1.779885e-01
## [109,] 0.006693784 0.003623188 3.494662e-07 5.194217116 1.027916e-07
## [110,] 0.004283269 0.003623188 1.921210e-07 1.505947645 6.604031e-02
## [111,] 0.008971956 0.003623188 5.344074e-07 7.316738091 1.270355e-13
## [112,] 0.002946040 0.003623188 3.381966e-07 -1.164392532 8.778675e-01
## [113,] 0.005698876 0.003623188 4.041530e-07 3.265044507 5.472344e-04
## [114,] 0.003736806 0.003623188 1.708547e-07 0.274872961 3.917069e-01
## [115,] 0.003809600 0.003623188 5.616132e-07 0.248745542 4.017788e-01
## [116,] 0.008526883 0.003623188 3.451429e-07 8.346874793 3.504648e-17
## [117,] 0.003423280 0.003623188 7.787960e-08 -0.716339422 7.631091e-01
## [118,] 0.003433748 0.003623188 1.053817e-07 -0.583566787 7.202441e-01
## [119,] 0.003487160 0.003623188 2.370640e-07 -0.279381031 6.100238e-01
## [120,] 0.006047363 0.003623188 7.068103e-07 2.883450210 1.966724e-03
## [121,] 0.002588193 0.003623188 3.589266e-07 -1.727569901 9.579673e-01
## [122,] 0.003902975 0.003623188 1.494915e-07 0.723633731 2.346453e-01
## [123,] 0.002976344 0.003623188 1.208371e-07 -1.860799589 9.686138e-01
## [124,] 0.006885111 0.003623188 3.679050e-07 5.377814359 3.769775e-08
## [125,] 0.006626706 0.003623188 7.697972e-07 3.423276668 3.093553e-04
## [126,] 0.004180602 0.003623188 4.873989e-07 0.798427592 2.123112e-01
## [127,] 0.003380609 0.003623188 2.164535e-07 -0.521400766 6.989562e-01
## [128,] 0.002782685 0.003623188 2.853835e-07 -1.573348281 9.421809e-01
## [129,] 0.002543583 0.003623188 1.829187e-07 -2.524270275 9.942031e-01
## [130,] 0.006142012 0.003623188 7.838559e-07 2.844982985 2.220690e-03
## [131,] 0.003256724 0.003623188 1.534373e-07 -0.935547517 8.252469e-01
## [132,] 0.004278536 0.003623188 3.091264e-07 1.178701686 1.192585e-01
## [133,] 0.004630709 0.003623188 2.094544e-07 2.201451944 1.385202e-02
## [134,] 0.003991811 0.003623188 2.431715e-07 0.747524521 2.273735e-01
## [135,] 0.004054003 0.003623188 1.697191e-07 1.045744453 1.478395e-01
## [136,] 0.002929487 0.003623188 1.154882e-07 -2.041285849 9.793888e-01
## [137,] 0.005085656 0.003623188 4.117661e-07 2.279086671 1.133096e-02
## [138,] 0.003280608 0.003623188 9.867947e-08 -1.090559227 8.622666e-01
## [139,] 0.002738829 0.003623188 6.662367e-07 -1.083463940 8.606987e-01
## [140,] 0.003069013 0.003623188 2.008484e-07 -1.236553605 8.918736e-01
## [141,] 0.002789801 0.003623188 4.475027e-07 -1.245802448 8.935815e-01
## [142,] 0.002621928 0.003623188 9.898090e-07 -1.006401495 8.428888e-01
## [143,] 0.003610984 0.003623188 9.140093e-08 -0.040369109 5.161006e-01
## [144,] 0.002633268 0.003623188 6.418184e-07 -1.235646624 8.917050e-01
## [145,] 0.005372467 0.003623188 4.983576e-07 2.477926949 6.607410e-03
## [146,] 0.008764351 0.003623188 7.774335e-07 5.830820571 2.757773e-09
## [147,] 0.003851769 0.003623188 4.690725e-07 0.333748091 3.692848e-01
## [148,] 0.002478660 0.003623188 1.769123e-07 -2.721119460 9.967469e-01
## [149,] 0.002772346 0.003623188 2.002387e-07 -1.901408034 9.713757e-01
## [150,] 0.003240201 0.003623188 7.335217e-08 -1.414094216 9.213329e-01
## [151,] 0.003119865 0.003623188 2.727183e-07 -0.963806457 8.324285e-01
## [152,] 0.002650207 0.003623188 1.820980e-07 -2.280089104 9.886988e-01
## [153,] 0.005188523 0.003623188 3.887355e-07 2.510614483 6.026062e-03
## [154,] 0.004819421 0.003623188 2.182332e-07 2.560679019 5.223391e-03
## [155,] 0.002499229 0.003623188 2.864543e-07 -2.100017175 9.821363e-01
## [156,] 0.003029095 0.003623188 9.187681e-08 -1.959980297 9.750010e-01
## [157,] 0.004032546 0.003623188 9.291630e-07 0.424675359 3.355367e-01
## [158,] 0.004141735 0.003623188 5.165909e-07 0.721463859 2.353121e-01
## [159,] 0.002935436 0.003623188 2.578808e-07 -1.354323673 9.121834e-01
## [160,] 0.003000349 0.003623188 2.138713e-07 -1.346788995 9.109759e-01
## [161,] 0.003080059 0.003623188 9.862255e-08 -1.729479575 9.581384e-01
## [162,] 0.002760392 0.003623188 4.584359e-07 -1.274292375 8.987201e-01
## [163,] 0.002552872 0.003623188 2.255694e-07 -2.253575001 9.878885e-01
## [164,] 0.004027349 0.003623188 7.490064e-07 0.466993983 3.202521e-01
## [165,] 0.002820124 0.003623188 3.330170e-07 -1.391607981 9.179794e-01
## [166,] 0.002868198 0.003623188 2.735052e-07 -1.443639958 9.255799e-01
## [167,] 0.002722616 0.003623188 2.565484e-07 -1.778009201 9.622988e-01
## [168,] 0.003830418 0.003623188 5.396481e-07 0.282096124 3.889349e-01
## [169,] 0.004088944 0.003623188 4.291071e-07 0.711009506 2.385392e-01
## [170,] 0.002980895 0.003623188 2.819027e-07 -1.209717290 8.868063e-01
## [171,] 0.002879976 0.003623188 3.903145e-07 -1.189612718 8.829007e-01
## [172,] 0.003812083 0.003623188 7.836555e-07 0.213381750 4.155146e-01
## [173,] 0.003623863 0.003623188 3.034490e-07 0.001225376 4.995111e-01
## [174,] 0.002685041 0.003623188 4.342152e-07 -1.423699812 9.227333e-01
## [175,] 0.002678632 0.003623188 5.029796e-07 -1.331842300 9.085440e-01
## [176,] 0.004321061 0.003623188 6.383588e-07 0.873461759 1.912057e-01
## [177,] 0.002928879 0.003623188 1.176116e-07 -2.024547054 9.785431e-01
## [178,] 0.002784719 0.003623188 3.751085e-07 -1.369017508 9.145031e-01
## [179,] 0.002735997 0.003623188 5.046221e-07 -1.248919071 8.941527e-01
## [180,] 0.002551568 0.003623188 1.117578e-06 -1.013682217 8.446328e-01
## [181,] 0.004004266 0.003623188 2.420653e-07 0.774546014 2.193040e-01
## [182,] 0.003104951 0.003623188 5.081244e-07 -0.727015670 7.663918e-01
## [183,] 0.002827487 0.003623188 4.048695e-07 -1.250525301 8.944461e-01
## [184,] 0.002878501 0.003623188 2.423852e-07 -1.512589045 9.348080e-01
## [185,] 0.002879933 0.003623188 1.596443e-07 -1.860207162 9.685719e-01
## [186,] 0.003822004 0.003623188 4.311165e-07 0.302798270 3.810218e-01
## [187,] 0.003122572 0.003623188 1.481790e-07 -1.300504668 9.032860e-01
## [188,] 0.002953844 0.003623188 2.413494e-07 -1.362469531 9.134751e-01
## [189,] 0.003906455 0.003623188 6.118196e-07 0.362145699 3.586216e-01
## [190,] 0.002839555 0.003623188 2.353918e-07 -1.615166780 9.468627e-01
## [191,] 0.003036936 0.003623188 2.454447e-07 -1.183334504 8.816617e-01
## [192,] 0.002708653 0.003623188 4.146650e-07 -1.420208092 9.222264e-01
## [193,] 0.003449945 0.003623188 3.903731e-07 -0.277278866 6.092170e-01
## [194,] 0.003633139 0.003623188 2.543853e-07 0.019728424 4.921300e-01
## [195,] 0.002795802 0.003623188 1.940670e-07 -1.878159660 9.698203e-01
## [196,] 0.002534022 0.003623188 1.724953e-07 -2.622440323 9.956349e-01
## [197,] 0.004871319 0.003623188 2.322724e-07 2.589770513 4.801997e-03
## [198,] 0.002471014 0.003623188 2.257525e-07 -2.424945352 9.923447e-01
## [199,] 0.004035460 0.003623188 1.248936e-07 1.166575793 1.216909e-01
## [200,] 0.004346188 0.003623188 1.768590e-07 1.719192732 4.278964e-02
## [201,] 0.004016112 0.003623188 1.465038e-07 1.026557434 1.523145e-01
## [202,] 0.006142914 0.003623188 7.141351e-07 2.981694299 1.433290e-03
## [203,] 0.003306609 0.003623188 1.888124e-07 -0.728563683 7.668657e-01
## [204,] 0.003470225 0.003623188 2.939731e-07 -0.282120734 6.110745e-01
## [205,] 0.002441968 0.003623188 4.769257e-07 -1.710431603 9.564070e-01
## [206,] 0.002865108 0.003623188 8.352727e-07 -0.829470762 7.965810e-01
## [207,] 0.003058239 0.003623188 1.081448e-07 -1.717934391 9.570957e-01
## [208,] 0.004314858 0.003623188 5.862823e-07 0.903327863 1.831760e-01
## [209,] 0.002863741 0.003623188 1.560844e-07 -1.922285721 9.727151e-01
## [210,] 0.002631928 0.003623188 3.255640e-07 -1.737278534 9.588310e-01
## [211,] 0.006318310 0.003623188 3.694791e-07 4.433874661 4.627722e-06
## [212,] 0.006342688 0.003623188 4.963135e-07 3.860209942 5.664482e-05
## [213,] 0.003275535 0.003623188 7.697029e-08 -1.253096027 8.949146e-01
## [214,] 0.002549829 0.003623188 6.185069e-07 -1.364812074 9.138439e-01
## [215,] 0.003713394 0.003623188 4.514894e-07 0.134248818 4.466029e-01
## [216,] 0.004986399 0.003623188 2.229218e-07 2.887265801 1.943029e-03
## [217,] 0.003415077 0.003623188 2.260179e-07 -0.437747491 6.692153e-01
## [218,] 0.002708191 0.003623188 2.621102e-07 -1.787219688 9.630490e-01
## [219,] 0.002869224 0.003623188 9.571408e-08 -2.437041889 9.925960e-01
## [220,] 0.004342868 0.003623188 5.435049e-07 0.976196432 1.644836e-01
## [221,] 0.004440111 0.003623188 1.959999e-07 1.845241352 3.250122e-02
## [222,] 0.003936871 0.003623188 1.502584e-07 0.809227596 2.091921e-01
## [223,] 0.012910371 0.003623188 9.613919e-07 9.471827139 1.374954e-21
## [224,] 0.003641590 0.003623188 1.875334e-07 0.042493479 4.830527e-01
## [225,] 0.004120772 0.003623188 3.923146e-07 0.794417351 2.134763e-01
## [226,] 0.003506915 0.003623188 1.939607e-07 -0.264011037 6.041143e-01
## [227,] 0.003871336 0.003623188 9.849267e-08 0.790693397 2.145615e-01
## [228,] 0.003894381 0.003623188 4.973795e-07 0.384532678 3.502918e-01
## [229,] 0.003981396 0.003623188 1.652740e-07 0.881116028 1.891275e-01
## [230,] 0.002524974 0.003623188 1.348633e-06 -0.945670818 8.278417e-01
## [231,] 0.011832109 0.003623188 9.859354e-07 8.267264481 6.853383e-17
## [232,] 0.003518406 0.003623188 1.686703e-07 -0.255133205 6.006899e-01
## [233,] 0.006760110 0.003623188 3.029699e-07 5.699069175 6.023167e-09
## [234,] 0.010347322 0.003623188 5.758601e-07 8.860900586 3.968531e-19
## [235,] 0.002834449 0.003623188 6.088824e-07 -1.010803911 8.439449e-01
## [236,] 0.003492777 0.003623188 1.817930e-07 -0.305863704 6.201458e-01
## [237,] 0.003080286 0.003623188 6.815884e-07 -0.657598383 7.446019e-01
## [238,] 0.004364730 0.003623188 3.176675e-07 1.315675988 9.414141e-02
## [239,] 0.002709057 0.003623188 1.239299e-07 -2.596691945 9.952937e-01
## [240,] 0.003564105 0.003623188 1.744985e-07 -0.141439232 5.562385e-01
## [241,] 0.002493004 0.003623188 2.146797e-07 -2.439236336 9.926408e-01
## [242,] 0.002716132 0.003623188 3.624778e-07 -1.506585133 9.340415e-01
## [243,] 0.006801488 0.003623188 3.511021e-07 5.363868209 4.072917e-08
## [244,] 0.003538600 0.003623188 4.561305e-07 -0.125247414 5.498362e-01
## [245,] 0.003781286 0.003623188 5.872236e-07 0.206311776 4.182737e-01
## [246,] 0.003459695 0.003623188 7.226324e-07 -0.192328123 5.762574e-01
## [247,] 0.002592740 0.003623188 1.130691e-06 -0.969068531 8.337445e-01
## [248,] 0.002425577 0.003623188 4.953421e-07 -1.701622822 9.555870e-01
## [249,] 0.002652663 0.003623188 4.596949e-07 -1.431436298 9.238474e-01
## [250,] 0.004413045 0.003623188 2.131175e-07 1.710955099 4.354470e-02
## [251,] 0.002358037 0.003623188 6.495716e-07 -1.569744480 9.417627e-01
## [252,] 0.003562193 0.003623188 2.099740e-07 -0.133112133 5.529476e-01
## [253,] 0.003481578 0.003623188 1.902499e-07 -0.324663931 6.272823e-01
## [254,] 0.002727134 0.003623188 2.544360e-07 -1.776417488 9.621679e-01
## [255,] 0.007509962 0.003623188 3.143150e-07 6.932767785 2.063427e-12
## [256,] 0.002429681 0.003623188 2.075051e-07 -2.620057522 9.956043e-01
## [257,] 0.002576202 0.003623188 1.894590e-07 -2.405378751 9.919221e-01
## [258,] 0.006314745 0.003623188 3.110424e-07 4.826071805 6.962616e-07
## [259,] 0.002440193 0.003623188 1.678043e-07 -2.887894769 9.980609e-01
## [260,] 0.003143552 0.003623188 1.954752e-07 -1.084841748 8.610041e-01
## [261,] 0.003102651 0.003623188 2.988873e-07 -0.952133658 8.294854e-01
## [262,] 0.004656808 0.003623188 3.372843e-07 1.779765160 3.755720e-02
## [263,] 0.002464975 0.003623188 2.737365e-07 -2.213717410 9.865759e-01
## [264,] 0.003380033 0.003623188 1.105964e-07 -0.731161252 7.676597e-01
## [265,] 0.006101388 0.003623188 5.097760e-07 3.470935484 2.593243e-04
## [266,] 0.003302020 0.003623188 2.224542e-07 -0.680944973 7.520468e-01
## [267,] 0.003108669 0.003623188 1.526235e-07 -1.317017057 9.060835e-01
## [268,] 0.003428315 0.003623188 1.652292e-07 -0.479413326 6.841777e-01
## [269,] 0.005647746 0.003623188 2.675225e-07 3.914262736 4.534043e-05
## [270,] 0.003839124 0.003623188 1.753595e-07 0.515654321 3.030479e-01
## [271,] 0.003156709 0.003623188 9.609337e-08 -1.504825386 9.338155e-01
## [272,] 0.005303071 0.003623188 2.494793e-07 3.363270356 3.851245e-04
## [273,] 0.006092536 0.003623188 2.765231e-07 4.695874383 1.327343e-06
## [274,] 0.005146711 0.003623188 3.398419e-07 2.613428193 4.481946e-03
## [275,] 0.005862888 0.003623188 4.735702e-07 3.254599682 5.677615e-04
## [276,] 0.003027790 0.003623188 2.917855e-07 -1.102239827 8.648213e-01
## [277,] 0.002872439 0.003623188 2.101757e-07 -1.637584630 9.492458e-01
## attr(,"cluster")
## [1] Low Low High High Low High Low Low Low High High Low Low High Low
## [16] Low High Low Low Low Low Low Low Low High High High Low High Low
## [31] Low Low Low High Low High Low Low Low Low Low Low Low Low Low
## [46] Low High High Low High Low Low Low High High High High Low Low Low
## [61] Low High Low High Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low High High Low High Low High Low Low Low
## [91] Low Low Low Low Low High High Low High Low Low High Low High Low
## [106] Low High Low High High Low Low High Low High High Low Low Low Low
## [121] Low Low Low High Low High High Low Low Low Low Low Low Low Low
## [136] Low High High Low High Low Low High High High High Low Low Low Low
## [151] Low Low Low Low Low Low High High Low High Low Low Low High Low
## [166] Low Low Low Low Low Low High High Low Low High Low Low Low Low
## [181] High Low Low Low Low High Low High High Low Low Low Low High Low
## [196] Low Low Low High Low Low Low High Low High Low Low High Low Low
## [211] Low Low Low Low High Low Low Low Low High Low High High High Low
## [226] Low High High Low Low High High High High Low Low Low Low Low Low
## [241] Low Low Low Low High Low Low High Low High High Low Low Low Low
## [256] Low Low High Low Low Low Low Low Low Low Low Low Low Low Low
## [271] Low Low Low High Low Low Low
## Levels: Low High
## attr(,"gstari")
## [1] FALSE
## attr(,"call")
## localG(x = data_merge$KEK, listw = W.idw, alternative = "greater")
## attr(,"class")
## [1] "localG"
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ2",
title = "Local Gi", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Coldspot", "No SAC", "Hotspot"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Matriks Pembobot Spasial Exponential Distance Weight
Indeks Moran Global
W.edw <- mat2listw(w.edw, style='W')
moran(data_merge$KEK, W.edw, n=length(W.edw$neighbours), S0=Szero(W.edw))
## $I
## [1] 0.009386819
##
## $K
## [1] 18.9482
Kurtosis
IM <- moran.test(data_merge$KEK, W.edw,randomisation=T,
alternative="greater", zero.policy = FALSE)
IM
##
## Moran I test under randomisation
##
## data: data_merge$KEK
## weights: W.edw
##
## Moran I statistic standard deviate = 10.967, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 9.386819e-03 -3.623188e-03 1.407236e-06
Karena nilai Moran’s I > 0 (bernilai positif) dan p-value < alpha 5%, maka cukup bukti untuk mengatakan bahwa ada autokorelasi spasial positif (lokasi yang berdekatan cenderung memiliki nilai yang mirip)
Indeks Moran Lokal
## Ii E.Ii Var.Ii Z.Ii Pr(z > E(Ii))
## 1 -0.001034241 -7.376709e-04 2.454606e-05 -0.05985991 0.52386640
## 2 0.007641443 -7.376709e-04 3.520212e-05 1.41225688 0.07893717
## 3 -0.040977015 -8.612240e-03 3.279923e-04 -1.78706688 0.96303666
## 4 -0.006417541 -5.062083e-05 3.953247e-06 -3.20222902 0.99931816
## 5 -0.010114682 -7.376709e-04 2.936083e-05 -1.73053432 0.95823257
## 6 -0.037849995 -3.425436e-03 1.771435e-04 -2.58646031 0.99515163
data_merge$lmI <- LM[, "Ii"] # local Moran's I
data_merge$lmZ <- LM[, "Z.Ii"] # z-scores
# p-values corresponding to alternative greater
data_merge$lmp <- LM[, "Pr(z > E(Ii))"]
p1 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p1
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
p2 <- tm_shape(data_merge) +
tm_polygons(col = "lmp", title = "p-value",
breaks = c(-Inf, 0.05, Inf)) +
tm_layout(legend.outside = TRUE)
p2
Klasifikasi Warna :
Less than 0.05 = Ada Autokorelasi Positif
0.05 or more = Tidak Ada Autokorelasi Positif
## tmap mode set to interactive viewing
p3 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p3
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ",
title = "Local Moran's I", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Negative SAC", "No SAC", "Positive SAC"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Rentang nilai untuk klasifikasi warna, dengan:
-Inf hingga -1.96 mewakili Negative Spatial Autocorrelation (SAC).
-1.96 hingga 1.96 mewakili No Spatial Autocorrelation (No SAC).
1.96 hingga Inf mewakili Positive Spatial Autocorrelation (Positive SAC)
# Autokorelasi spasial positif (Z-score > 1.96)
positive_autocorr <- data_merge[data_merge$lmZ > 1.96, ]
# Autokorelasi spasial negatif (Z-score < -1.96)
negative_autocorr <- data_merge[data_merge$lmZ < -1.96, ]
# Area tanpa autokorelasi spasial (Z-score antara -1.96 dan 1.96)
no_autocorr <- data_merge[data_merge$lmZ >= -1.96 & data_merge$lmZ <= 1.96, ]
Moran Plot memiliki kemiringan positif: ini menunjukkan adanya autokorelasi spasial positif, di mana lokasi dengan nilai tinggi cenderung berdekatan dengan lokasi bernilai tinggi, dan lokasi bernilai rendah cenderung berdekatan dengan lokasi bernilai rendah.
Getis-Ord Gi
Mendeteksi adanya wilayah yang hotspot/coldspot.
## [1] 0.059859910 -1.412256882 -1.787066878 -3.202229023 1.730534316
## [6] -2.586460310 0.980751097 -2.796257615 -0.844877511 2.177682673
## [11] 3.079466274 -2.604289935 -2.401632818 -2.606632497 -2.268903207
## [16] -0.110190810 -2.240551217 -3.346579052 -1.122310943 -3.142132277
## [21] -1.852290278 2.736859633 0.838983983 -3.007012114 -2.269731104
## [26] 4.709400326 4.217485031 4.729960152 4.690150951 3.271893044
## [31] -2.110744110 -2.208729697 2.432382222 -1.360245088 -1.933054415
## [36] -2.621324425 -3.521086622 0.840734772 -1.255117513 3.001201339
## [41] -3.506632311 4.433426818 -3.217615639 -3.126183630 0.065898893
## [46] -2.020214500 2.249542006 1.427445864 1.047492680 2.562498908
## [51] -2.732050239 1.153010945 0.511789997 4.633960537 4.425780603
## [56] 4.392438001 2.672585267 4.171461118 -2.728567149 3.500157166
## [61] 0.998518838 -2.616910922 -2.978632684 -2.577971361 -2.824696188
## [66] -3.348788243 -3.317467204 1.484241743 -2.944385984 4.953249970
## [71] 0.993446311 -3.403337877 -3.056548119 -2.148202764 4.774699562
## [76] -3.032349006 -0.178940734 -3.499667112 -1.629642040 -3.416244219
## [81] 1.789051765 1.968967821 2.266291673 -0.701157480 -2.978781780
## [86] -2.415039014 4.412685963 1.177469361 4.209233053 -3.443929199
## [91] 3.352347318 -1.570636179 -2.081316129 -2.755509644 -1.328623007
## [96] -2.603263679 2.939626254 -3.198240983 -2.773643603 -2.780740755
## [101] -2.484364195 -2.722999513 -2.427445957 -2.550887506 -3.445691917
## [106] 3.611886448 4.377251839 2.677190459 4.631525051 2.776797261
## [111] 4.631687411 -2.639546666 3.935419295 1.646024681 -2.568732905
## [116] 4.930214042 0.341190696 0.999069008 1.009477072 4.642132274
## [121] -3.115294627 2.035352027 -2.221205723 4.429704634 4.673374571
## [126] -2.695808699 -2.726096968 -1.595560602 -3.444956718 4.734229503
## [131] 0.767342064 -1.986133982 3.297942807 2.360223726 2.570435688
## [136] -2.322475560 0.267285596 -0.291072389 0.296932167 -2.499292677
## [141] -2.949871629 -2.356042657 -0.509926571 -2.134622956 0.376654633
## [146] 4.153106256 1.934624254 -3.407621678 -2.977385763 -1.203937612
## [151] -1.569963794 -3.324794720 3.767336800 3.631240086 -3.240553553
## [156] -1.816894269 -2.754681208 -2.715299656 0.002372012 -1.561750204
## [161] -2.639888685 -0.605144344 -3.250570615 -2.747392982 -3.199829321
## [166] -2.813089760 -3.096432181 -2.498130844 -2.602564650 -2.940726071
## [171] -3.050840273 -2.770376532 -2.831947227 -3.070123000 -2.879694032
## [176] -2.573518445 -1.751439517 -2.966041797 -0.421808035 -2.301783360
## [181] -1.731984849 -3.139508871 -0.158154343 -2.406110527 -2.326877818
## [186] -2.797773281 -2.454817050 -2.765177718 -2.715747572 -2.926911473
## [191] -1.831990617 -3.022299500 -2.753917328 1.802109049 -1.168467983
## [196] -3.511475040 3.918740252 -3.514984868 2.691295875 3.385706558
## [201] 2.819849742 4.705631534 -1.207521606 -0.942373515 -3.311973588
## [206] 1.185879077 -0.453199207 -2.542740911 -0.903323842 -3.095037635
## [211] 4.141270545 4.460503582 -0.489372446 -2.946426851 -2.611401093
## [216] 4.025454523 -1.043311858 -1.732648685 -2.758489966 -2.697899363
## [221] 3.307982804 2.320664292 4.633400858 -2.004967657 2.434602355
## [226] -1.320092680 2.047973952 -2.572929166 2.964624020 -0.088843272
## [231] 4.453245526 1.394420775 4.280947315 4.636890280 -0.374817274
## [236] -2.093047177 1.437045066 3.058612304 -3.097683157 1.288743263
## [241] -3.439505031 -2.984901869 4.324182662 -2.514820351 1.903562331
## [246] 1.029770441 0.674596745 -3.302819450 -3.022793958 0.386106277
## [251] -3.160192677 1.686862729 1.420105560 -1.509251829 4.731218406
## [256] -3.501977308 -3.273098645 4.224606622 -3.495215922 -0.568736764
## [261] -2.820992747 3.473789512 -3.300691952 0.667340416 4.728376573
## [266] -1.228539452 0.310524618 -2.089664026 4.193898656 2.047278240
## [271] -1.425895386 4.096328730 4.136514714 0.476949048 4.475762836
## [276] -2.565941350 -2.929000324
## attr(,"internals")
## Gi E(Gi) V(Gi) Z(Gi) Pr(z > E(Gi))
## [1,] 0.003628447 0.003623188 7.717538e-09 0.059859910 4.761336e-01
## [2,] 0.003474613 0.003623188 1.106792e-08 -1.412256882 9.210628e-01
## [3,] 0.003452511 0.003623188 9.121551e-09 -1.787066878 9.630367e-01
## [4,] 0.003190248 0.003623188 1.827892e-08 -3.202229023 9.993182e-01
## [5,] 0.003789458 0.003623188 9.231354e-09 1.730534316 4.176743e-02
## [6,] 0.003336662 0.003623188 1.227209e-08 -2.586460310 9.951516e-01
## [7,] 0.003715867 0.003623188 8.929754e-09 0.980751097 1.633577e-01
## [8,] 0.003288784 0.003623188 1.430174e-08 -2.796257615 9.974151e-01
## [9,] 0.003553856 0.003623188 6.734213e-09 -0.844877511 8.009104e-01
## [10,] 0.003856089 0.003623188 1.143809e-08 2.177682673 1.471483e-02
## [11,] 0.004015364 0.003623188 1.621851e-08 3.079466274 1.036859e-03
## [12,] 0.003315618 0.003623188 1.394792e-08 -2.604289935 9.953968e-01
## [13,] 0.003335828 0.003623188 1.431667e-08 -2.401632818 9.918390e-01
## [14,] 0.003325749 0.003623188 1.302082e-08 -2.606632497 9.954281e-01
## [15,] 0.003429303 0.003623188 7.302245e-09 -2.268903207 9.883629e-01
## [16,] 0.003614502 0.003623188 6.214288e-09 -0.110190810 5.438710e-01
## [17,] 0.003388145 0.003623188 1.100491e-08 -2.240551217 9.874724e-01
## [18,] 0.003122964 0.003623188 2.234225e-08 -3.346579052 9.995909e-01
## [19,] 0.003529577 0.003623188 6.957178e-09 -1.122310943 8.691349e-01
## [20,] 0.003165719 0.003623188 2.119705e-08 -3.142132277 9.991614e-01
## [21,] 0.003406168 0.003623188 1.372724e-08 -1.852290278 9.680079e-01
## [22,] 0.004062651 0.003623188 2.578336e-08 2.736859633 3.101438e-03
## [23,] 0.003704004 0.003623188 9.278682e-09 0.838983983 2.007391e-01
## [24,] 0.003228939 0.003623188 1.718980e-08 -3.007012114 9.986809e-01
## [25,] 0.003398103 0.003623188 9.834396e-09 -2.269731104 9.883880e-01
## [26,] 0.004278964 0.003623188 1.939009e-08 4.709400326 1.242233e-06
## [27,] 0.004290194 0.003623188 2.501217e-08 4.217485031 1.235211e-05
## [28,] 0.004333481 0.003623188 2.255066e-08 4.729960152 1.122820e-06
## [29,] 0.004291943 0.003623188 2.033106e-08 4.690150951 1.365018e-06
## [30,] 0.004142379 0.003623188 2.517997e-08 3.271893044 5.341499e-04
## [31,] 0.003406139 0.003623188 1.057419e-08 -2.110744110 9.826028e-01
## [32,] 0.003395152 0.003623188 1.065918e-08 -2.208729697 9.864033e-01
## [33,] 0.004003701 0.003623188 2.447233e-08 2.432382222 7.499934e-03
## [34,] 0.003486929 0.003623188 1.003460e-08 -1.360245088 9.131238e-01
## [35,] 0.003467163 0.003623188 6.514819e-09 -1.933054415 9.733853e-01
## [36,] 0.003315584 0.003623188 1.377027e-08 -2.621324425 9.956206e-01
## [37,] 0.003032051 0.003623188 2.818536e-08 -3.521086622 9.997851e-01
## [38,] 0.003726736 0.003623188 1.516911e-08 0.840734772 2.002483e-01
## [39,] 0.003520954 0.003623188 6.634787e-09 -1.255117513 8.952819e-01
## [40,] 0.003923539 0.003623188 1.001539e-08 3.001201339 1.344583e-03
## [41,] 0.003056947 0.003623188 2.607489e-08 -3.506632311 9.997731e-01
## [42,] 0.004188912 0.003623188 1.628284e-08 4.433426818 4.637350e-06
## [43,] 0.003163261 0.003623188 2.043194e-08 -3.217615639 9.993537e-01
## [44,] 0.003200525 0.003623188 1.827934e-08 -3.126183630 9.991145e-01
## [45,] 0.003629634 0.003623188 9.566206e-09 0.065898893 4.737292e-01
## [46,] 0.003455984 0.003623188 6.850132e-09 -2.020214500 9.783194e-01
## [47,] 0.003884110 0.003623188 1.345338e-08 2.249542006 1.223902e-02
## [48,] 0.003757591 0.003623188 8.865308e-09 1.427445864 7.672571e-02
## [49,] 0.003752723 0.003623188 1.529226e-08 1.047492680 1.474362e-01
## [50,] 0.003905287 0.003623188 1.211925e-08 2.562498908 5.196096e-03
## [51,] 0.003304288 0.003623188 1.362489e-08 -2.732050239 9.968529e-01
## [52,] 0.003776722 0.003623188 1.773133e-08 1.153010945 1.244529e-01
## [53,] 0.003672677 0.003623188 9.350171e-09 0.511789997 3.043990e-01
## [54,] 0.004211322 0.003623188 1.610823e-08 4.633960537 1.793677e-06
## [55,] 0.004200388 0.003623188 1.700876e-08 4.425780603 4.804708e-06
## [56,] 0.004162933 0.003623188 1.509961e-08 4.392438001 5.604330e-06
## [57,] 0.003935368 0.003623188 1.364410e-08 2.672585267 3.763462e-03
## [58,] 0.004202741 0.003623188 1.930234e-08 4.171461118 1.513264e-05
## [59,] 0.003289251 0.003623188 1.497825e-08 -2.728567149 9.968195e-01
## [60,] 0.004064269 0.003623188 1.588038e-08 3.500157166 2.324920e-04
## [61,] 0.003753889 0.003623188 1.713323e-08 0.998518838 1.590139e-01
## [62,] 0.003300542 0.003623188 1.520108e-08 -2.616910922 9.955635e-01
## [63,] 0.003236481 0.003623188 1.685512e-08 -2.978632684 9.985523e-01
## [64,] 0.003363009 0.003623188 1.018570e-08 -2.577971361 9.950309e-01
## [65,] 0.003270358 0.003623188 1.560234e-08 -2.824696188 9.976337e-01
## [66,] 0.003136263 0.003623188 2.114216e-08 -3.348788243 9.995942e-01
## [67,] 0.003128685 0.003623188 2.221904e-08 -3.317467204 9.995458e-01
## [68,] 0.003752701 0.003623188 7.614081e-09 1.484241743 6.887240e-02
## [69,] 0.003223381 0.003623188 1.843791e-08 -2.944385984 9.983820e-01
## [70,] 0.004322135 0.003623188 1.991164e-08 4.953249970 3.649206e-07
## [71,] 0.003718811 0.003623188 9.264644e-09 0.993446311 1.602463e-01
## [72,] 0.003118037 0.003623188 2.203096e-08 -3.403337877 9.996672e-01
## [73,] 0.003203496 0.003623188 1.885380e-08 -3.056548119 9.988805e-01
## [74,] 0.003426517 0.003623188 8.381719e-09 -2.148202764 9.841512e-01
## [75,] 0.004308463 0.003623188 2.059857e-08 4.774699562 8.998787e-07
## [76,] 0.003221203 0.003623188 1.757365e-08 -3.032349006 9.987867e-01
## [77,] 0.003605530 0.003623188 9.738050e-09 -0.178940734 5.710079e-01
## [78,] 0.003048395 0.003623188 2.697551e-08 -3.499667112 9.997671e-01
## [79,] 0.003490273 0.003623188 6.652252e-09 -1.629642040 9.484114e-01
## [80,] 0.003101782 0.003623188 2.329455e-08 -3.416244219 9.996825e-01
## [81,] 0.003853786 0.003623188 1.661366e-08 1.789051765 3.680324e-02
## [82,] 0.003898657 0.003623188 1.957346e-08 1.968967821 2.447839e-02
## [83,] 0.003991095 0.003623188 2.635380e-08 2.266291673 1.171677e-02
## [84,] 0.003566659 0.003623188 6.499990e-09 -0.701157480 7.583976e-01
## [85,] 0.003247476 0.003623188 1.590870e-08 -2.978781780 9.985530e-01
## [86,] 0.003404224 0.003623188 8.220547e-09 -2.415039014 9.921332e-01
## [87,] 0.004307777 0.003623188 2.406874e-08 4.412685963 5.104802e-06
## [88,] 0.003767284 0.003623188 1.497620e-08 1.177469361 1.195041e-01
## [89,] 0.004116280 0.003623188 1.372303e-08 4.209233053 1.281195e-05
## [90,] 0.003081641 0.003623188 2.472656e-08 -3.443929199 9.997133e-01
## [91,] 0.004103525 0.003623188 2.053020e-08 3.352347318 4.006471e-04
## [92,] 0.003484141 0.003623188 7.837449e-09 -1.570636179 9.418664e-01
## [93,] 0.003387529 0.003623188 1.282020e-08 -2.081316129 9.812975e-01
## [94,] 0.003272571 0.003623188 1.619058e-08 -2.755509644 9.970700e-01
## [95,] 0.003520420 0.003623188 5.983002e-09 -1.328623007 9.080138e-01
## [96,] 0.003340673 0.003623188 1.177740e-08 -2.603263679 9.953830e-01
## [97,] 0.003975526 0.003623188 1.436596e-08 2.939626254 1.643042e-03
## [98,] 0.003183902 0.003623188 1.886568e-08 -3.198240983 9.993087e-01
## [99,] 0.003266112 0.003623188 1.657377e-08 -2.773643603 9.972284e-01
## [100,] 0.003284031 0.003623188 1.487580e-08 -2.780740755 9.972882e-01
## [101,] 0.003362690 0.003623188 1.099465e-08 -2.484364195 9.935108e-01
## [102,] 0.003304377 0.003623188 1.370792e-08 -2.722999513 9.967654e-01
## [103,] 0.003371804 0.003623188 1.072453e-08 -2.427445957 9.923972e-01
## [104,] 0.003331202 0.003623188 1.310213e-08 -2.550887506 9.946275e-01
## [105,] 0.003099887 0.003623188 2.306489e-08 -3.445691917 9.997152e-01
## [106,] 0.004194761 0.003623188 2.504234e-08 3.611886448 1.519888e-04
## [107,] 0.004204025 0.003623188 1.760778e-08 4.377251839 6.009254e-06
## [108,] 0.003921447 0.003623188 1.241157e-08 2.677190459 3.712121e-03
## [109,] 0.004269445 0.003623188 1.946983e-08 4.631525051 1.814910e-06
## [110,] 0.003970336 0.003623188 1.562936e-08 2.776797261 2.744870e-03
## [111,] 0.004211702 0.003623188 1.614489e-08 4.631687411 1.813487e-06
## [112,] 0.003324514 0.003623188 1.280380e-08 -2.639546666 9.958492e-01
## [113,] 0.004113690 0.003623188 1.553454e-08 3.935419295 4.152579e-05
## [114,] 0.003773874 0.003623188 8.380519e-09 1.646024681 4.987934e-02
## [115,] 0.003329233 0.003623188 1.309555e-08 -2.568732905 9.948964e-01
## [116,] 0.004342047 0.003623188 2.125963e-08 4.930214042 4.106978e-07
## [117,] 0.003657379 0.003623188 1.004192e-08 0.341190696 3.664800e-01
## [118,] 0.003731435 0.003623188 1.173923e-08 0.999069008 1.588806e-01
## [119,] 0.003750570 0.003623188 1.592294e-08 1.009477072 1.563729e-01
## [120,] 0.004337232 0.003623188 2.365998e-08 4.642132274 1.724160e-06
## [121,] 0.003206621 0.003623188 1.788019e-08 -3.115294627 9.990812e-01
## [122,] 0.003918994 0.003623188 2.112200e-08 2.035352027 2.090773e-02
## [123,] 0.003426692 0.003623188 7.825828e-09 -2.221205723 9.868315e-01
## [124,] 0.004248029 0.003623188 1.989708e-08 4.429704634 4.718112e-06
## [125,] 0.004339344 0.003623188 2.348301e-08 4.673374571 1.481453e-06
## [126,] 0.003292561 0.003623188 1.504182e-08 -2.695808699 9.964891e-01
## [127,] 0.003302568 0.003623188 1.383249e-08 -2.726096968 9.967956e-01
## [128,] 0.003491829 0.003623188 6.777949e-09 -1.595560602 9.447065e-01
## [129,] 0.003074638 0.003623188 2.535513e-08 -3.444956718 9.997144e-01
## [130,] 0.004338675 0.003623188 2.284041e-08 4.734229503 1.099444e-06
## [131,] 0.003686788 0.003623188 6.869515e-09 0.767342064 2.214391e-01
## [132,] 0.003425201 0.003623188 9.937101e-09 -1.986133982 9.764908e-01
## [133,] 0.003990965 0.003623188 1.243602e-08 3.297942807 4.869799e-04
## [134,] 0.003861375 0.003623188 1.018422e-08 2.360223726 9.131958e-03
## [135,] 0.003880464 0.003623188 1.001807e-08 2.570435688 5.078534e-03
## [136,] 0.003337761 0.003623188 1.510390e-08 -2.322475560 9.898963e-01
## [137,] 0.003656533 0.003623188 1.556338e-08 0.267285596 3.946246e-01
## [138,] 0.003597649 0.003623188 7.698764e-09 -0.291072389 6.145020e-01
## [139,] 0.003652006 0.003623188 9.418737e-09 0.296932167 3.832591e-01
## [140,] 0.003338112 0.003623188 1.301033e-08 -2.499292677 9.937779e-01
## [141,] 0.003245628 0.003623188 1.638199e-08 -2.949871629 9.984105e-01
## [142,] 0.003376448 0.003623188 1.096771e-08 -2.356042657 9.907646e-01
## [143,] 0.003567802 0.003623188 1.179735e-08 -0.509926571 6.949485e-01
## [144,] 0.003401816 0.003623188 1.075484e-08 -2.134622956 9.836041e-01
## [145,] 0.003670579 0.003623188 1.583084e-08 0.376654633 3.532151e-01
## [146,] 0.004171088 0.003623188 1.740427e-08 4.153106256 1.639962e-05
## [147,] 0.003880897 0.003623188 1.774447e-08 1.934624254 2.651821e-02
## [148,] 0.003107170 0.003623188 2.293123e-08 -3.407621678 9.996723e-01
## [149,] 0.003233301 0.003623188 1.714776e-08 -2.977385763 9.985464e-01
## [150,] 0.003488791 0.003623188 1.246167e-08 -1.203937612 8.856932e-01
## [151,] 0.003466366 0.003623188 9.977888e-09 -1.569963794 9.417882e-01
## [152,] 0.003115574 0.003623188 2.330974e-08 -3.324794720 9.995576e-01
## [153,] 0.004086281 0.003623188 1.511006e-08 3.767336800 8.249917e-05
## [154,] 0.004112364 0.003623188 1.814762e-08 3.631240086 1.410313e-04
## [155,] 0.003165751 0.003623188 1.992618e-08 -3.240553553 9.994035e-01
## [156,] 0.003464056 0.003623188 7.671143e-09 -1.816894269 9.653833e-01
## [157,] 0.003269800 0.003623188 1.645742e-08 -2.754681208 9.970625e-01
## [158,] 0.003296479 0.003623188 1.447734e-08 -2.715299656 9.966892e-01
## [159,] 0.003623379 0.003623188 6.483450e-09 0.002372012 4.990537e-01
## [160,] 0.003456764 0.003623188 1.135559e-08 -1.561750204 9.408266e-01
## [161,] 0.003332821 0.003623188 1.209830e-08 -2.639888685 9.958533e-01
## [162,] 0.003573933 0.003623188 6.625106e-09 -0.605144344 7.274585e-01
## [163,] 0.003167623 0.003623188 1.964183e-08 -3.250570615 9.994241e-01
## [164,] 0.003271004 0.003623188 1.643231e-08 -2.747392982 9.969964e-01
## [165,] 0.003146037 0.003623188 2.223615e-08 -3.199829321 9.993125e-01
## [166,] 0.003283664 0.003623188 1.456714e-08 -2.813089760 9.975466e-01
## [167,] 0.003185693 0.003623188 1.996292e-08 -3.096432181 9.990207e-01
## [168,] 0.003344579 0.003623188 1.243834e-08 -2.498130844 9.937575e-01
## [169,] 0.003316867 0.003623188 1.385324e-08 -2.602564650 9.953735e-01
## [170,] 0.003222839 0.003623188 1.853398e-08 -2.940726071 9.983628e-01
## [171,] 0.003190126 0.003623188 2.014940e-08 -3.050840273 9.988590e-01
## [172,] 0.003267789 0.003623188 1.645719e-08 -2.770376532 9.972004e-01
## [173,] 0.003261435 0.003623188 1.631755e-08 -2.831947227 9.976867e-01
## [174,] 0.003185452 0.003623188 2.032891e-08 -3.070123000 9.989301e-01
## [175,] 0.003259410 0.003623188 1.595806e-08 -2.879694032 9.980097e-01
## [176,] 0.003320624 0.003623188 1.382228e-08 -2.573518445 9.949665e-01
## [177,] 0.003479928 0.003623188 6.690533e-09 -1.751439517 9.600649e-01
## [178,] 0.003214816 0.003623188 1.895655e-08 -2.966041797 9.984917e-01
## [179,] 0.003589017 0.003623188 6.562839e-09 -0.421808035 6.634174e-01
## [180,] 0.003382630 0.003623188 1.092221e-08 -2.301783360 9.893263e-01
## [181,] 0.003453436 0.003623188 9.606055e-09 -1.731984849 9.583619e-01
## [182,] 0.003161722 0.003623188 2.160516e-08 -3.139508871 9.991538e-01
## [183,] 0.003610388 0.003623188 6.550990e-09 -0.158154343 5.628324e-01
## [184,] 0.003405935 0.003623188 8.152676e-09 -2.406110527 9.919383e-01
## [185,] 0.003419426 0.003623188 7.668367e-09 -2.326877818 9.900141e-01
## [186,] 0.003263471 0.003623188 1.653091e-08 -2.797773281 9.974272e-01
## [187,] 0.003388675 0.003623188 9.126367e-09 -2.454817050 9.929522e-01
## [188,] 0.003297645 0.003623188 1.386030e-08 -2.765177718 9.971554e-01
## [189,] 0.003281137 0.003623188 1.586372e-08 -2.715747572 9.966937e-01
## [190,] 0.003239719 0.003623188 1.716490e-08 -2.926911473 9.982883e-01
## [191,] 0.003442196 0.003623188 9.760537e-09 -1.831990617 9.665236e-01
## [192,] 0.003202477 0.003623188 1.937730e-08 -3.022299500 9.987457e-01
## [193,] 0.003266507 0.003623188 1.677482e-08 -2.753917328 9.970557e-01
## [194,] 0.003802264 0.003623188 9.874421e-09 1.802109049 3.576413e-02
## [195,] 0.003529969 0.003623188 6.364677e-09 -1.168467983 8.786910e-01
## [196,] 0.003045309 0.003623188 2.708289e-08 -3.511475040 9.997772e-01
## [197,] 0.004224976 0.003623188 2.358268e-08 3.918740252 4.450649e-05
## [198,] 0.003039313 0.003623188 2.759267e-08 -3.514984868 9.997801e-01
## [199,] 0.004012219 0.003623188 2.089516e-08 2.691295875 3.558752e-03
## [200,] 0.004130141 0.003623188 2.242004e-08 3.385706558 3.549763e-04
## [201,] 0.004058932 0.003623188 2.387866e-08 2.819849742 2.402307e-03
## [202,] 0.004340183 0.003623188 2.321644e-08 4.705631534 1.265406e-06
## [203,] 0.003505611 0.003623188 9.481072e-09 -1.207521606 8.863843e-01
## [204,] 0.003529759 0.003623188 9.829192e-09 -0.942373515 8.269993e-01
## [205,] 0.003132290 0.003623188 2.196899e-08 -3.311973588 9.995368e-01
## [206,] 0.003736951 0.003623188 9.202824e-09 1.185879077 1.178350e-01
## [207,] 0.003587870 0.003623188 6.073373e-09 -0.453199207 6.747973e-01
## [208,] 0.003323409 0.003623188 1.389955e-08 -2.542740911 9.945007e-01
## [209,] 0.003553070 0.003623188 6.025342e-09 -0.903323842 8.168230e-01
## [210,] 0.003210821 0.003623188 1.775161e-08 -3.095037635 9.990161e-01
## [211,] 0.004126374 0.003623188 1.476347e-08 4.141270545 1.726936e-05
## [212,] 0.004311297 0.003623188 2.379831e-08 4.460503582 4.088365e-06
## [213,] 0.003578851 0.003623188 8.208373e-09 -0.489372446 6.877110e-01
## [214,] 0.003243853 0.003623188 1.657507e-08 -2.946426851 9.983927e-01
## [215,] 0.003328243 0.003623188 1.275662e-08 -2.611401093 9.954914e-01
## [216,] 0.004257420 0.003623188 2.482368e-08 4.025454523 2.843268e-05
## [217,] 0.003515716 0.003623188 1.061116e-08 -1.043311858 8.515981e-01
## [218,] 0.003484813 0.003623188 6.378181e-09 -1.732648685 9.584209e-01
## [219,] 0.003261476 0.003623188 1.719427e-08 -2.758489966 9.970965e-01
## [220,] 0.003295104 0.003623188 1.478837e-08 -2.697899363 9.965111e-01
## [221,] 0.004075367 0.003623188 1.868503e-08 3.307982804 4.698529e-04
## [222,] 0.003920007 0.003623188 1.635908e-08 2.320664292 1.015248e-02
## [223,] 0.004247453 0.003623188 1.815257e-08 4.633400858 1.798535e-06
## [224,] 0.003414723 0.003623188 1.081065e-08 -2.004967657 9.775167e-01
## [225,] 0.003881566 0.003623188 1.126298e-08 2.434602355 7.454081e-03
## [226,] 0.003491355 0.003623188 9.973414e-09 -1.320092680 9.065980e-01
## [227,] 0.003939310 0.003623188 2.382651e-08 2.047973952 2.028128e-02
## [228,] 0.003327616 0.003623188 1.319691e-08 -2.572929166 9.949579e-01
## [229,] 0.004102117 0.003623188 2.609765e-08 2.964624020 1.515265e-03
## [230,] 0.003614451 0.003623188 9.672816e-09 -0.088843272 5.353968e-01
## [231,] 0.004219565 0.003623188 1.793447e-08 4.453245526 4.229097e-06
## [232,] 0.003810547 0.003623188 1.805337e-08 1.394420775 8.159529e-02
## [233,] 0.004250492 0.003623188 2.147220e-08 4.280947315 9.304971e-06
## [234,] 0.004241498 0.003623188 1.778108e-08 4.636890280 1.768450e-06
## [235,] 0.003586178 0.003623188 9.750318e-09 -0.374817274 6.461018e-01
## [236,] 0.003419819 0.003623188 9.440895e-09 -2.093047177 9.818275e-01
## [237,] 0.003760597 0.003623188 9.142918e-09 1.437045066 7.535259e-02
## [238,] 0.003973835 0.003623188 1.314285e-08 3.058612304 1.111824e-03
## [239,] 0.003195968 0.003623188 1.902083e-08 -3.097683157 9.990248e-01
## [240,] 0.003795351 0.003623188 1.784614e-08 1.288743263 9.874368e-02
## [241,] 0.003087776 0.003623188 2.423174e-08 -3.439505031 9.997086e-01
## [242,] 0.003217228 0.003623188 1.849726e-08 -2.984901869 9.985817e-01
## [243,] 0.004145204 0.003623188 1.457331e-08 4.324182662 7.654920e-06
## [244,] 0.003346967 0.003623188 1.206422e-08 -2.514820351 9.940453e-01
## [245,] 0.003884057 0.003623188 1.878063e-08 1.903562331 2.848360e-02
## [246,] 0.003759370 0.003623188 1.748870e-08 1.029770441 1.515589e-01
## [247,] 0.003688249 0.003623188 9.301445e-09 0.674596745 2.499660e-01
## [248,] 0.003138878 0.003623188 2.150193e-08 -3.302819450 9.995214e-01
## [249,] 0.003199197 0.003623188 1.967417e-08 -3.022793958 9.987477e-01
## [250,] 0.003670889 0.003623188 1.526273e-08 0.386106277 3.497090e-01
## [251,] 0.003199035 0.003623188 1.801437e-08 -3.160192677 9.992117e-01
## [252,] 0.003827606 0.003623188 1.468514e-08 1.686862729 4.581488e-02
## [253,] 0.003796321 0.003623188 1.486331e-08 1.420105560 7.778848e-02
## [254,] 0.003504579 0.003623188 6.176076e-09 -1.509251829 9.343828e-01
## [255,] 0.004228869 0.003623188 1.638860e-08 4.731218406 1.115881e-06
## [256,] 0.003055630 0.003623188 2.626599e-08 -3.501977308 9.997691e-01
## [257,] 0.003148380 0.003623188 2.104357e-08 -3.273098645 9.994681e-01
## [258,] 0.004182843 0.003623188 1.754959e-08 4.224606622 1.196793e-05
## [259,] 0.003072040 0.003623188 2.486502e-08 -3.495215922 9.997632e-01
## [260,] 0.003565682 0.003623188 1.022361e-08 -0.568736764 7.152326e-01
## [261,] 0.003254265 0.003623188 1.710282e-08 -2.820992747 9.976062e-01
## [262,] 0.004042835 0.003623188 1.459356e-08 3.473789512 2.565817e-04
## [263,] 0.003146881 0.003623188 2.082402e-08 -3.300691952 9.995178e-01
## [264,] 0.003678907 0.003623188 6.971093e-09 0.667340416 2.522774e-01
## [265,] 0.004321649 0.003623188 2.182026e-08 4.728376573 1.131611e-06
## [266,] 0.003496240 0.003623188 1.067763e-08 -1.228539452 8.903777e-01
## [267,] 0.003648217 0.003623188 6.496373e-09 0.310524618 3.780810e-01
## [268,] 0.003396812 0.003623188 1.173571e-08 -2.089664026 9.816760e-01
## [269,] 0.004227433 0.003623188 2.075817e-08 4.193898656 1.371003e-05
## [270,] 0.003874655 0.003623188 1.508712e-08 2.047278240 2.031539e-02
## [271,] 0.003466390 0.003623188 1.209230e-08 -1.425895386 9.230507e-01
## [272,] 0.004233498 0.003623188 2.219785e-08 4.096328730 2.098769e-05
## [273,] 0.004169463 0.003623188 1.744028e-08 4.136514714 1.763104e-05
## [274,] 0.003682848 0.003623188 1.564624e-08 0.476949048 3.166992e-01
## [275,] 0.004323750 0.003623188 2.449961e-08 4.475762836 3.806948e-06
## [276,] 0.003341728 0.003623188 1.203210e-08 -2.565941350 9.948552e-01
## [277,] 0.003253967 0.003623188 1.589044e-08 -2.929000324 9.982997e-01
## attr(,"cluster")
## [1] Low Low High High Low High Low Low Low High High Low Low High Low
## [16] Low High Low Low Low Low Low Low Low High High High Low High Low
## [31] Low Low Low High Low High Low Low Low Low Low Low Low Low Low
## [46] Low High High Low High Low Low Low High High High High Low Low Low
## [61] Low High Low High Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low High High Low High Low High Low Low Low
## [91] Low Low Low Low Low High High Low High Low Low High Low High Low
## [106] Low High Low High High Low Low High Low High High Low Low Low Low
## [121] Low Low Low High Low High High Low Low Low Low Low Low Low Low
## [136] Low High High Low High Low Low High High High High Low Low Low Low
## [151] Low Low Low Low Low Low High High Low High Low Low Low High Low
## [166] Low Low Low Low Low Low High High Low Low High Low Low Low Low
## [181] High Low Low Low Low High Low High High Low Low Low Low High Low
## [196] Low Low Low High Low Low Low High Low High Low Low High Low Low
## [211] Low Low Low Low High Low Low Low Low High Low High High High Low
## [226] Low High High Low Low High High High High Low Low Low Low Low Low
## [241] Low Low Low Low High Low Low High Low High High Low Low Low Low
## [256] Low Low High Low Low Low Low Low Low Low Low Low Low Low Low
## [271] Low Low Low High Low Low Low
## Levels: Low High
## attr(,"gstari")
## [1] FALSE
## attr(,"call")
## localG(x = data_merge$KEK, listw = W.edw, alternative = "greater")
## attr(,"class")
## [1] "localG"
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ2",
title = "Local Gi", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Coldspot", "No SAC", "Hotspot"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Matriks Pembobot Spasial K-Nearest Neighbor (K=5)
Indeks Moran Global
W.knn <- nb2listw(w.knn, style='W')
moran(data_merge$KEK, W.knn, n=length(W.knn$neighbours), S0=Szero(W.knn))
## $I
## [1] 0.4490796
##
## $K
## [1] 18.9482
Kurtosis
IM <- moran.test(data_merge$KEK, W.knn,randomisation=T,
alternative="greater", zero.policy = FALSE)
IM
##
## Moran I test under randomisation
##
## data: data_merge$KEK
## weights: W.knn
##
## Moran I statistic standard deviate = 13.196, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.449079634 -0.003623188 0.001176860
Karena nilai Moran’s I > 0 (bernilai positif) dan p-value < alpha 5%, maka cukup bukti untuk mengatakan bahwa ada autokorelasi spasial positif (lokasi yang berdekatan cenderung memiliki nilai yang mirip)
Indeks Moran Lokal
## Ii E.Ii Var.Ii Z.Ii Pr(z > E(Ii))
## 1 0.20359716 -7.376709e-04 0.040242830 1.0185870 0.15419953
## 2 0.04943840 -7.376709e-04 0.040242830 0.2501223 0.40124639
## 3 0.97234254 -8.612240e-03 0.466128896 1.4367989 0.07538758
## 4 -0.04660356 -5.062083e-05 0.002763463 -0.8855647 0.81207393
## 5 0.20359716 -7.376709e-04 0.040242830 1.0185870 0.15419953
## 6 -0.10653468 -3.425436e-03 0.186368293 -0.2388425 0.59438614
data_merge$lmI <- LM[, "Ii"] # local Moran's I
data_merge$lmZ <- LM[, "Z.Ii"] # z-scores
# p-values corresponding to alternative greater
data_merge$lmp <- LM[, "Pr(z > E(Ii))"]
p1 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p1
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
p2 <- tm_shape(data_merge) +
tm_polygons(col = "lmp", title = "p-value",
breaks = c(-Inf, 0.05, Inf)) +
tm_layout(legend.outside = TRUE)
p2
Klasifikasi Warna :
Less than 0.05 = Ada Autokorelasi Positif
0.05 or more = Tidak Ada Autokorelasi Positif
## tmap mode set to interactive viewing
p3 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p3
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ",
title = "Local Moran's I", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Negative SAC", "No SAC", "Positive SAC"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Rentang nilai untuk klasifikasi warna, dengan:
-Inf hingga -1.96 mewakili Negative Spatial Autocorrelation (SAC).
-1.96 hingga 1.96 mewakili No Spatial Autocorrelation (No SAC).
1.96 hingga Inf mewakili Positive Spatial Autocorrelation (Positive SAC)
# Autokorelasi spasial positif (Z-score > 1.96)
positive_autocorr <- data_merge[data_merge$lmZ > 1.96, ]
# Autokorelasi spasial negatif (Z-score < -1.96)
negative_autocorr <- data_merge[data_merge$lmZ < -1.96, ]
# Area tanpa autokorelasi spasial (Z-score antara -1.96 dan 1.96)
no_autocorr <- data_merge[data_merge$lmZ >= -1.96 & data_merge$lmZ <= 1.96, ]
Moran Plot memiliki kemiringan positif: ini menunjukkan adanya autokorelasi spasial positif, di mana lokasi dengan nilai tinggi cenderung berdekatan dengan lokasi bernilai tinggi, dan lokasi bernilai rendah cenderung berdekatan dengan lokasi bernilai rendah.
Getis-Ord Gi
Mendeteksi adanya wilayah yang hotspot/coldspot.
## [1] -1.018587043 -0.250122285 1.436798857 -0.885564710 -1.018587043
## [6] -0.238842496 -0.378199745 -1.018587043 -1.018587043 0.394769811
## [11] 0.012992394 -0.250122285 -0.634354664 0.650836715 -1.018587043
## [16] -1.018587043 1.421739075 -1.018587043 -1.018587043 -0.506277205
## [21] -1.018587043 -0.506277205 -1.018587043 -0.890509584 0.940073008
## [26] 8.180644436 0.015321089 -0.503796354 7.404348110 -1.018587043
## [31] -0.762432124 -0.762432124 -0.247723069 -0.883482767 -1.018587043
## [36] 1.168581248 -1.018587043 0.264423501 -1.018587043 -1.018587043
## [41] -1.018587043 2.823736747 -1.018587043 -1.018587043 -1.018587043
## [46] -1.018587043 0.269128154 -0.115075486 -0.506277205 -0.627347007
## [51] -0.634354664 -0.634354664 -1.018587043 4.491840277 5.844470515
## [56] 3.211505756 0.012992394 1.286807231 -0.634354664 -0.250122285
## [61] -0.759869639 1.034937071 -0.634354664 -0.117363998 -0.634354664
## [66] -0.506277205 -1.018587043 -1.018587043 -1.018587043 5.001053562
## [71] -1.018587043 -1.018587043 -0.634354664 -1.018587043 -0.122044826
## [76] -0.378199745 -1.018587043 -1.018587043 -1.018587043 -1.018587043
## [81] -0.506277205 -0.371211247 -0.499279127 -1.018587043 -1.011550647
## [86] -0.762432124 -0.110592440 -0.506277205 3.464124045 -1.018587043
## [91] -0.634354664 1.286807231 -0.634354664 -1.018587043 -1.018587043
## [96] 0.397196034 -0.243143367 -0.503796354 0.781399674 -0.250122285
## [101] 0.006032634 0.145907672 -0.378199745 0.522803263 -1.018587043
## [106] -1.018587043 7.120955420 0.134110094 4.500221706 0.522803263
## [111] 4.104511344 -0.634354664 1.291003975 0.006032634 0.522803263
## [116] 5.772174798 -1.018587043 -1.018587043 -0.634354664 0.008350216
## [121] -0.887906281 0.520496786 -1.018587043 2.366061489 0.134110094
## [126] 1.043658065 0.525263914 -1.018587043 -1.018587043 -0.503796354
## [131] -1.018587043 2.311426908 -0.762432124 0.006032634 -0.634354664
## [136] -1.018587043 3.116200157 -1.011550647 -1.018587043 0.012992394
## [141] -0.634354664 -0.762432124 1.312845745 -1.013598162 3.116200157
## [146] 4.052336521 -0.247723069 -1.018587043 -0.634354664 -0.634354664
## [151] -0.375759712 -0.506277205 -0.762432124 -0.634354664 -1.018587043
## [156] -0.890509584 0.781399674 1.171908121 -1.018587043 -1.011550647
## [161] -0.634354664 -1.018587043 -0.762432124 0.781399674 0.134110094
## [166] -0.634354664 -1.018587043 0.646419932 1.414884690 -0.634354664
## [171] -0.378199745 0.397196034 1.677874835 -0.506277205 -0.634354664
## [176] 1.549806955 -1.018587043 -1.018587043 -1.018587043 -0.762432124
## [181] 2.069658514 0.134110094 -1.018587043 -0.762432124 -1.018587043
## [186] 1.165603314 -0.762432124 0.012992394 0.397196034 -1.018587043
## [191] -0.250122285 -0.378199745 0.518342473 -0.238842496 -1.018587043
## [196] -1.018587043 -1.018587043 -1.018587043 -0.627347007 -1.018587043
## [201] -0.506277205 0.008350216 0.525263914 0.518342473 -0.369098964
## [206] -1.018587043 -1.018587043 1.547070879 -1.018587043 -0.762432124
## [211] 1.542962150 0.392460143 -1.018587043 -0.634354664 -0.112818929
## [216] -0.378199745 -0.506277205 -1.018587043 -1.018587043 1.428408233
## [221] -0.378199745 -0.243143367 8.180644436 1.421739075 0.262187553
## [226] 0.774497392 0.010669454 0.653331794 -0.890509584 -1.018587043
## [231] 4.946076411 -0.883482767 1.404495747 7.145582668 -1.018587043
## [236] 0.774497392 -1.018587043 -0.250122285 -1.018587043 -0.631832997
## [241] -1.018587043 -1.018587043 1.542962150 0.646419932 -0.371211247
## [246] -0.759869639 -1.018587043 -0.495342608 -1.018587043 3.116200157
## [251] -0.883482767 -0.506277205 -0.634354664 -1.018587043 3.207969126
## [256] -1.018587043 -1.018587043 2.637592870 -1.018587043 -1.018587043
## [261] -0.250122285 -0.378199745 -1.018587043 0.006032634 -0.247723069
## [266] -0.250122285 -1.018587043 0.134110094 1.542962150 -0.122044826
## [271] -0.634354664 -0.890509584 1.542962150 3.236990420 0.392460143
## [276] -0.378199745 -1.018587043
## attr(,"internals")
## Gi E(Gi) V(Gi) Z(Gi) Pr(z > E(Gi))
## [1,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [2,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [3,] 0.0087962963 0.003623188 1.296317e-05 1.436798857 7.538758e-02
## [4,] 0.0004576659 0.003623188 1.277763e-05 -0.885564710 8.120739e-01
## [5,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [6,] 0.0027649770 0.003623188 1.291116e-05 -0.238842496 5.943861e-01
## [7,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [8,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [9,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [10,] 0.0050343249 0.003623188 1.277763e-05 0.394769811 3.465064e-01
## [11,] 0.0036697248 0.003623188 1.282941e-05 0.012992394 4.948169e-01
## [12,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [13,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [14,] 0.0059496568 0.003623188 1.277763e-05 0.650836715 2.575759e-01
## [15,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [16,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [17,] 0.0087155963 0.003623188 1.282941e-05 1.421739075 7.755101e-02
## [18,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [19,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [20,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [21,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [22,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [23,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [24,] 0.0004555809 0.003623188 1.265277e-05 -0.890509584 8.134038e-01
## [25,] 0.0070093458 0.003623188 1.297451e-05 0.940073008 1.735901e-01
## [26,] 0.0331002331 0.003623188 1.298353e-05 8.180644436 1.411649e-16
## [27,] 0.0036781609 0.003623188 1.287395e-05 0.015321089 4.938880e-01
## [28,] 0.0018264840 0.003623188 1.271871e-05 -0.503796354 6.927978e-01
## [29,] 0.0303030303 0.003623188 1.298353e-05 7.404348110 6.589814e-14
## [30,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [31,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [32,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [33,] 0.0027397260 0.003623188 1.271871e-05 -0.247723069 5.978257e-01
## [34,] 0.0004587156 0.003623188 1.282941e-05 -0.883482767 8.115123e-01
## [35,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [36,] 0.0078160920 0.003623188 1.287395e-05 1.168581248 1.212862e-01
## [37,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [38,] 0.0045662100 0.003623188 1.271871e-05 0.264423501 3.957268e-01
## [39,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [40,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [41,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [42,] 0.0136674260 0.003623188 1.265277e-05 2.823736747 2.373368e-03
## [43,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [44,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [45,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [46,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [47,] 0.0045871560 0.003623188 1.282941e-05 0.269128154 3.939155e-01
## [48,] 0.0032110092 0.003623188 1.282941e-05 -0.115075486 5.458074e-01
## [49,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [50,] 0.0013761468 0.003623188 1.282941e-05 -0.627347007 7.347841e-01
## [51,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [52,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [53,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [54,] 0.0196796339 0.003623188 1.277763e-05 4.491840277 3.530519e-06
## [55,] 0.0240384615 0.003623188 1.220169e-05 5.844470515 2.540910e-09
## [56,] 0.0151029748 0.003623188 1.277763e-05 3.211505756 6.602066e-04
## [57,] 0.0036697248 0.003623188 1.282941e-05 0.012992394 4.948169e-01
## [58,] 0.0082004556 0.003623188 1.265277e-05 1.286807231 9.908074e-02
## [59,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [60,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [61,] 0.0009132420 0.003623188 1.271871e-05 -0.759869639 7.763337e-01
## [62,] 0.0073226545 0.003623188 1.277763e-05 1.034937071 1.503492e-01
## [63,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [64,] 0.0032036613 0.003623188 1.277763e-05 -0.117363998 5.467142e-01
## [65,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [66,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [67,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [68,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [69,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [70,] 0.0214123007 0.003623188 1.265277e-05 5.001053562 2.850893e-07
## [71,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [72,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [73,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [74,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [75,] 0.0031890661 0.003623188 1.265277e-05 -0.122044826 5.485682e-01
## [76,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [77,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [78,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [79,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [80,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [81,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [82,] 0.0022935780 0.003623188 1.282941e-05 -0.371211247 6.447599e-01
## [83,] 0.0018348624 0.003623188 1.282941e-05 -0.499279127 6.912086e-01
## [84,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [85,] 0.0000000000 0.003623188 1.282941e-05 -1.011550647 8.441235e-01
## [86,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [87,] 0.0032258065 0.003623188 1.291116e-05 -0.110592440 5.440302e-01
## [88,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [89,] 0.0159453303 0.003623188 1.265277e-05 3.464124045 2.659806e-04
## [90,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [91,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [92,] 0.0082004556 0.003623188 1.265277e-05 1.286807231 9.908074e-02
## [93,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [94,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [95,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [96,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [97,] 0.0027522936 0.003623188 1.282941e-05 -0.243143367 5.960528e-01
## [98,] 0.0018264840 0.003623188 1.271871e-05 -0.503796354 6.927978e-01
## [99,] 0.0064220183 0.003623188 1.282941e-05 0.781399674 2.172837e-01
## [100,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [101,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [102,] 0.0041474654 0.003623188 1.291116e-05 0.145907672 4.419971e-01
## [103,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [104,] 0.0054919908 0.003623188 1.277763e-05 0.522803263 3.005556e-01
## [105,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [106,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [107,] 0.0289786223 0.003623188 1.267843e-05 7.120955420 5.359073e-13
## [108,] 0.0041002278 0.003623188 1.265277e-05 0.134110094 4.466578e-01
## [109,] 0.0197701149 0.003623188 1.287395e-05 4.500221706 3.394131e-06
## [110,] 0.0054919908 0.003623188 1.277763e-05 0.522803263 3.005556e-01
## [111,] 0.0182232346 0.003623188 1.265277e-05 4.104511344 2.025852e-05
## [112,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [113,] 0.0082379863 0.003623188 1.277763e-05 1.291003975 9.835115e-02
## [114,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [115,] 0.0054919908 0.003623188 1.277763e-05 0.522803263 3.005556e-01
## [116,] 0.0242562929 0.003623188 1.277763e-05 5.772174798 3.912744e-09
## [117,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [118,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [119,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [120,] 0.0036529680 0.003623188 1.271871e-05 0.008350216 4.966688e-01
## [121,] 0.0004566210 0.003623188 1.271871e-05 -0.887906281 8.127044e-01
## [122,] 0.0054794521 0.003623188 1.271871e-05 0.520496786 3.013587e-01
## [123,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [124,] 0.0119617225 0.003623188 1.242016e-05 2.366061489 8.989229e-03
## [125,] 0.0041002278 0.003623188 1.265277e-05 0.134110094 4.466578e-01
## [126,] 0.0073732719 0.003623188 1.291116e-05 1.043658065 1.483218e-01
## [127,] 0.0055045872 0.003623188 1.282941e-05 0.525263914 2.996999e-01
## [128,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [129,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [130,] 0.0018264840 0.003623188 1.271871e-05 -0.503796354 6.927978e-01
## [131,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [132,] 0.0118451025 0.003623188 1.265277e-05 2.311426908 1.040464e-02
## [133,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [134,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [135,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [136,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [137,] 0.0148491879 0.003623188 1.297775e-05 3.116200157 9.159894e-04
## [138,] 0.0000000000 0.003623188 1.282941e-05 -1.011550647 8.441235e-01
## [139,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [140,] 0.0036697248 0.003623188 1.282941e-05 0.012992394 4.948169e-01
## [141,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [142,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [143,] 0.0083526682 0.003623188 1.297775e-05 1.312845745 9.461747e-02
## [144,] 0.0000000000 0.003623188 1.277763e-05 -1.013598162 8.446127e-01
## [145,] 0.0148491879 0.003623188 1.297775e-05 3.116200157 9.159894e-04
## [146,] 0.0180522565 0.003623188 1.267843e-05 4.052336521 2.535433e-05
## [147,] 0.0027397260 0.003623188 1.271871e-05 -0.247723069 5.978257e-01
## [148,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [149,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [150,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [151,] 0.0022831050 0.003623188 1.271871e-05 -0.375759712 6.464522e-01
## [152,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [153,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [154,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [155,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [156,] 0.0004555809 0.003623188 1.265277e-05 -0.890509584 8.134038e-01
## [157,] 0.0064220183 0.003623188 1.282941e-05 0.781399674 2.172837e-01
## [158,] 0.0078341014 0.003623188 1.291116e-05 1.171908121 1.206170e-01
## [159,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [160,] 0.0000000000 0.003623188 1.282941e-05 -1.011550647 8.441235e-01
## [161,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [162,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [163,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [164,] 0.0064220183 0.003623188 1.282941e-05 0.781399674 2.172837e-01
## [165,] 0.0041002278 0.003623188 1.265277e-05 0.134110094 4.466578e-01
## [166,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [167,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [168,] 0.0059225513 0.003623188 1.265277e-05 0.646419932 2.590037e-01
## [169,] 0.0086560364 0.003623188 1.265277e-05 1.414884690 7.855115e-02
## [170,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [171,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [172,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [173,] 0.0096330275 0.003623188 1.282941e-05 1.677874835 4.668577e-02
## [174,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [175,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [176,] 0.0091743119 0.003623188 1.282941e-05 1.549806955 6.059393e-02
## [177,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [178,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [179,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [180,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [181,] 0.0110599078 0.003623188 1.291116e-05 2.069658514 1.924217e-02
## [182,] 0.0041002278 0.003623188 1.265277e-05 0.134110094 4.466578e-01
## [183,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [184,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [185,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [186,] 0.0077981651 0.003623188 1.282941e-05 1.165603314 1.218874e-01
## [187,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [188,] 0.0036697248 0.003623188 1.282941e-05 0.012992394 4.948169e-01
## [189,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [190,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [191,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [192,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [193,] 0.0054669704 0.003623188 1.265277e-05 0.518342473 3.021097e-01
## [194,] 0.0027649770 0.003623188 1.291116e-05 -0.238842496 5.943861e-01
## [195,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [196,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [197,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [198,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [199,] 0.0013761468 0.003623188 1.282941e-05 -0.627347007 7.347841e-01
## [200,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [201,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [202,] 0.0036529680 0.003623188 1.271871e-05 0.008350216 4.966688e-01
## [203,] 0.0055045872 0.003623188 1.282941e-05 0.525263914 2.996999e-01
## [204,] 0.0054669704 0.003623188 1.265277e-05 0.518342473 3.021097e-01
## [205,] 0.0022988506 0.003623188 1.287395e-05 -0.369098964 6.439730e-01
## [206,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [207,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [208,] 0.0091533181 0.003623188 1.277763e-05 1.547070879 6.092308e-02
## [209,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [210,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [211,] 0.0091116173 0.003623188 1.265277e-05 1.542962150 6.141998e-02
## [212,] 0.0050228311 0.003623188 1.271871e-05 0.392460143 3.473591e-01
## [213,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [214,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [215,] 0.0032183908 0.003623188 1.287395e-05 -0.112818929 5.449129e-01
## [216,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [217,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [218,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [219,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [220,] 0.0087557604 0.003623188 1.291116e-05 1.428408233 7.658720e-02
## [221,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [222,] 0.0027522936 0.003623188 1.282941e-05 -0.243143367 5.960528e-01
## [223,] 0.0331002331 0.003623188 1.298353e-05 8.180644436 1.411649e-16
## [224,] 0.0087155963 0.003623188 1.282941e-05 1.421739075 7.755101e-02
## [225,] 0.0045558087 0.003623188 1.265277e-05 0.262187553 3.965884e-01
## [226,] 0.0063781321 0.003623188 1.265277e-05 0.774497392 2.193184e-01
## [227,] 0.0036613272 0.003623188 1.277763e-05 0.010669454 4.957436e-01
## [228,] 0.0059633028 0.003623188 1.282941e-05 0.653331794 2.567712e-01
## [229,] 0.0004555809 0.003623188 1.265277e-05 -0.890509584 8.134038e-01
## [230,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [231,] 0.0214452214 0.003623188 1.298353e-05 4.946076411 3.786212e-07
## [232,] 0.0004587156 0.003623188 1.282941e-05 -0.883482767 8.115123e-01
## [233,] 0.0085918854 0.003623188 1.251538e-05 1.404495747 8.008564e-02
## [234,] 0.0293706294 0.003623188 1.298353e-05 7.145582668 4.480747e-13
## [235,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [236,] 0.0063781321 0.003623188 1.265277e-05 0.774497392 2.193184e-01
## [237,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [238,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [239,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [240,] 0.0013698630 0.003623188 1.271871e-05 -0.631832997 7.362520e-01
## [241,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [242,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [243,] 0.0091116173 0.003623188 1.265277e-05 1.542962150 6.141998e-02
## [244,] 0.0059225513 0.003623188 1.265277e-05 0.646419932 2.590037e-01
## [245,] 0.0022935780 0.003623188 1.282941e-05 -0.371211247 6.447599e-01
## [246,] 0.0009132420 0.003623188 1.271871e-05 -0.759869639 7.763337e-01
## [247,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [248,] 0.0018433180 0.003623188 1.291116e-05 -0.495342608 6.898209e-01
## [249,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [250,] 0.0148491879 0.003623188 1.297775e-05 3.116200157 9.159894e-04
## [251,] 0.0004587156 0.003623188 1.282941e-05 -0.883482767 8.115123e-01
## [252,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [253,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [254,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [255,] 0.0150341686 0.003623188 1.265277e-05 3.207969126 6.683792e-04
## [256,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [257,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [258,] 0.0129186603 0.003623188 1.242016e-05 2.637592870 4.174838e-03
## [259,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [260,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [261,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [262,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [263,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [264,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [265,] 0.0027397260 0.003623188 1.271871e-05 -0.247723069 5.978257e-01
## [266,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [267,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [268,] 0.0041002278 0.003623188 1.265277e-05 0.134110094 4.466578e-01
## [269,] 0.0091116173 0.003623188 1.265277e-05 1.542962150 6.141998e-02
## [270,] 0.0031890661 0.003623188 1.265277e-05 -0.122044826 5.485682e-01
## [271,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [272,] 0.0004555809 0.003623188 1.265277e-05 -0.890509584 8.134038e-01
## [273,] 0.0091116173 0.003623188 1.265277e-05 1.542962150 6.141998e-02
## [274,] 0.0152777778 0.003623188 1.296317e-05 3.236990420 6.039873e-04
## [275,] 0.0050228311 0.003623188 1.271871e-05 0.392460143 3.473591e-01
## [276,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [277,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## attr(,"cluster")
## [1] Low Low High High Low High Low Low Low High High Low Low High Low
## [16] Low High Low Low Low Low Low Low Low High High High Low High Low
## [31] Low Low Low High Low High Low Low Low Low Low Low Low Low Low
## [46] Low High High Low High Low Low Low High High High High Low Low Low
## [61] Low High Low High Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low High High Low High Low High Low Low Low
## [91] Low Low Low Low Low High High Low High Low Low High Low High Low
## [106] Low High Low High High Low Low High Low High High Low Low Low Low
## [121] Low Low Low High Low High High Low Low Low Low Low Low Low Low
## [136] Low High High Low High Low Low High High High High Low Low Low Low
## [151] Low Low Low Low Low Low High High Low High Low Low Low High Low
## [166] Low Low Low Low Low Low High High Low Low High Low Low Low Low
## [181] High Low Low Low Low High Low High High Low Low Low Low High Low
## [196] Low Low Low High Low Low Low High Low High Low Low High Low Low
## [211] Low Low Low Low High Low Low Low Low High Low High High High Low
## [226] Low High High Low Low High High High High Low Low Low Low Low Low
## [241] Low Low Low Low High Low Low High Low High High Low Low Low Low
## [256] Low Low High Low Low Low Low Low Low Low Low Low Low Low Low
## [271] Low Low Low High Low Low Low
## Levels: Low High
## attr(,"gstari")
## [1] FALSE
## attr(,"call")
## localG(x = data_merge$KEK, listw = W.knn, alternative = "greater")
## attr(,"class")
## [1] "localG"
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ2",
title = "Local Gi", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Coldspot", "No SAC", "Hotspot"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Matriks Pembobot Spasial Rook Cognity
Indeks Moran Global
W.rook <- nb2listw(rook, style='W')
moran(data_merge$KEK, W.rook, n=length(W.rook$neighbours), S0=Szero(W.rook))
## $I
## [1] 0.3487822
##
## $K
## [1] 18.9482
Kurtosis
IM <- moran.test(data_merge$KEK, W.rook,randomisation=T,
alternative="greater", zero.policy = FALSE)
IM
##
## Moran I test under randomisation
##
## data: data_merge$KEK
## weights: W.rook
##
## Moran I statistic standard deviate = 9.6447, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.348782225 -0.003623188 0.001335086
Karena nilai Moran’s I > 0 (bernilai positif) dan p-value < alpha 5%, maka cukup bukti untuk mengatakan bahwa ada autokorelasi spasial positif (lokasi yang berdekatan cenderung memiliki nilai yang mirip)
Indeks Moran Lokal
## Ii E.Ii Var.Ii Z.Ii Pr(z > E(Ii))
## 1 0.02695691 -7.376709e-04 0.024873336 0.1756013 0.43030357
## 2 -0.07902723 -7.376709e-04 0.040242830 -0.3902650 0.65182970
## 3 1.38934374 -8.612240e-03 0.584811161 1.8280399 0.03377178
## 4 -0.03650774 -5.062083e-05 0.001356238 -0.9899526 0.83890135
## 5 0.07513153 -7.376709e-04 0.067566375 0.2918772 0.38519026
## 6 -0.08280637 -3.425436e-03 0.132137772 -0.2183749 0.58643149
data_merge$lmI <- LM[, "Ii"] # local Moran's I
data_merge$lmZ <- LM[, "Z.Ii"] # z-scores
# p-values corresponding to alternative greater
data_merge$lmp <- LM[, "Pr(z > E(Ii))"]
p1 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p1
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
p2 <- tm_shape(data_merge) +
tm_polygons(col = "lmp", title = "p-value",
breaks = c(-Inf, 0.05, Inf)) +
tm_layout(legend.outside = TRUE)
p2
Klasifikasi Warna :
Less than 0.05 = Ada Autokorelasi Positif
0.05 or more = Tidak Ada Autokorelasi Positif
## tmap mode set to interactive viewing
p3 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p3
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ",
title = "Local Moran's I", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Negative SAC", "No SAC", "Positive SAC"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Rentang nilai untuk klasifikasi warna, dengan:
-Inf hingga -1.96 mewakili Negative Spatial Autocorrelation (SAC).
-1.96 hingga 1.96 mewakili No Spatial Autocorrelation (No SAC).
1.96 hingga Inf mewakili Positive Spatial Autocorrelation (Positive SAC)
# Autokorelasi spasial positif (Z-score > 1.96)
positive_autocorr <- data_merge[data_merge$lmZ > 1.96, ]
# Autokorelasi spasial negatif (Z-score < -1.96)
negative_autocorr <- data_merge[data_merge$lmZ < -1.96, ]
# Area tanpa autokorelasi spasial (Z-score antara -1.96 dan 1.96)
no_autocorr <- data_merge[data_merge$lmZ >= -1.96 & data_merge$lmZ <= 1.96, ]
Moran Plot memiliki kemiringan positif: ini menunjukkan adanya autokorelasi spasial positif, di mana lokasi dengan nilai tinggi cenderung berdekatan dengan lokasi bernilai tinggi, dan lokasi bernilai rendah cenderung berdekatan dengan lokasi bernilai rendah.
Getis-Ord Gi
Mendeteksi adanya wilayah yang hotspot/coldspot.
## [1] -0.175601343 0.390265013 1.828039900 -0.989952578 -0.291877205
## [6] -0.218374907 -0.480581224 -0.786098730 -0.766467085 0.533996866
## [11] -0.173142404 -0.291877205 -0.786098730 0.523902035 -1.117870599
## [16] -1.018587043 0.763863545 -0.909375678 -0.634354664 -0.127136697
## [21] -0.786098730 -0.621358222 -0.291877205 -0.621358222 0.550882783
## [26] 9.077185239 -0.449674614 2.379361417 5.167857453 -0.634354664
## [31] -0.456617713 -0.786098730 -0.061094178 -0.760172919 -1.295613270
## [36] 1.809281336 -0.640674601 1.160679998 -1.117870599 -1.179740170
## [41] -1.018587043 2.396164542 -0.649332580 -0.623512709 -0.291877205
## [46] -1.295613270 -0.117074734 0.526114228 -0.766444193 -0.173142404
## [51] -0.766467085 -0.456617713 -0.291877205 3.683673298 3.989061729
## [56] 0.809666782 0.269128154 1.224819495 -0.415063571 -0.250122285
## [61] -0.454682106 1.275834530 -1.018587043 -0.576777591 -0.532198076
## [66] -1.091974737 -0.506277205 -1.209680475 -1.088328523 4.504585626
## [71] -0.291877205 -1.117870599 -0.649332580 -1.209680475 0.037603812
## [76] -0.378199745 -0.291877205 -0.786098730 -0.909375678 -0.909375678
## [81] -0.297929066 0.526114228 -0.032104298 -1.018587043 -0.903093714
## [86] -0.623512709 2.248500327 -0.506277205 -0.337649739 -1.018587043
## [91] -0.532198076 1.341953999 -0.684697673 -1.117870599 -1.117870599
## [96] 0.545946531 -0.223575372 -0.049699455 0.240272639 -0.043344556
## [101] -0.415063571 0.434384744 -0.340505568 0.523902035 -1.117870599
## [106] -0.909375678 3.558294459 0.390265013 2.681923891 0.316777802
## [111] 3.136194059 0.006032634 -1.013598162 -0.194718255 0.381019662
## [116] 7.552579583 0.234076200 -0.342333802 -0.775093022 2.056936495
## [121] -0.880703586 0.407294521 -1.117870599 2.100022453 2.949774409
## [126] 0.817259344 -0.115075486 -1.117870599 -0.909375678 3.003766040
## [131] -0.909375678 1.414884690 -0.992386748 -0.180794562 -1.018587043
## [136] -1.209680475 2.608199220 -1.318391544 -0.291877205 -0.166735022
## [141] -0.337649739 -0.786098730 0.948707013 -0.904921697 3.034539714
## [146] 2.069378039 0.378958346 -1.295613270 -0.883739885 -0.786098730
## [151] -0.631832997 -0.337649739 -0.623512709 -0.634354664 -1.117870599
## [156] -0.873805045 0.383193434 1.389755737 -0.883739885 -0.903093714
## [161] -0.180794562 -0.766467085 -0.992386748 0.397196034 0.164911686
## [166] -0.532198076 -0.775093022 0.377007684 -0.798640360 -1.018587043
## [171] 0.377007684 -0.045568949 0.042972570 -0.506277205 -0.250122285
## [176] 1.549806955 -0.786098730 -1.117870599 -0.480581224 -0.786098730
## [181] 1.776111383 0.696565845 -0.480581224 -0.762432124 -1.018587043
## [186] 0.240272639 -0.883601590 -0.371211247 0.397196034 -0.786098730
## [191] -0.480581224 -0.786098730 -0.340505568 -0.327168183 -1.117870599
## [196] -0.909375678 -0.909375678 -1.018587043 -0.120216783 -0.766467085
## [201] -0.506277205 2.665133284 0.012992394 0.662870654 -1.165960889
## [206] -0.291877205 -1.117870599 1.162970523 -1.295613270 -0.623512709
## [211] -0.883601590 3.236677019 0.006032634 -0.449152431 0.752001323
## [216] 1.810492018 0.518342473 -0.909375678 -0.786098730 1.428408233
## [221] -0.532198076 -0.114936635 5.851755458 0.397196034 0.519939169
## [226] 0.170608952 0.041170976 0.653331794 -0.786098730 -0.291877205
## [231] 4.946076411 -0.370358323 0.540729809 3.781631922 -0.051786770
## [236] 0.390265013 -0.291877205 -0.415063571 -0.909375678 -0.646580053
## [241] -1.117870599 -0.786098730 -0.762432124 -0.194718255 0.653331794
## [246] -0.619370113 -0.291877205 -0.118342671 -0.909375678 1.874751242
## [251] -0.875407794 -0.909375678 -0.634354664 -1.117870599 5.236678165
## [256] -1.209680475 -0.909375678 4.191974305 -1.018587043 -0.480581224
## [261] -0.762432124 -0.766467085 -0.909375678 -0.318843435 -0.619370113
## [266] -0.480581224 -1.018587043 -0.063660057 2.396164542 -0.480581224
## [271] -0.634354664 1.224819495 1.508495334 3.192813251 0.521844279
## [276] -0.194718255 -0.992386748
## attr(,"internals")
## Gi E(Gi) V(Gi) Z(Gi) Pr(z > E(Gi))
## [1,] 0.0031321185 0.003623188 7.820438e-06 -0.175601343 5.696964e-01
## [2,] 0.0050113895 0.003623188 1.265277e-05 0.390265013 3.481703e-01
## [3,] 0.0109953704 0.003623188 1.626375e-05 1.828039900 3.377178e-02
## [4,] 0.0011441648 0.003623188 6.270939e-06 -0.989952578 8.389014e-01
## [5,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [6,] 0.0029624753 0.003623188 9.154199e-06 -0.218374907 5.864315e-01
## [7,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [8,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [9,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [10,] 0.0052304675 0.003623188 9.059519e-06 0.533996866 2.966719e-01
## [11,] 0.0030581040 0.003623188 1.065172e-05 -0.173142404 5.687303e-01
## [12,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [13,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [14,] 0.0057208238 0.003623188 1.603097e-05 0.523902035 3.001733e-01
## [15,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [16,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [17,] 0.0061162080 0.003623188 1.065172e-05 0.763863545 2.224743e-01
## [18,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [19,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [20,] 0.0030372058 0.003623188 2.124358e-05 -0.127136697 5.505839e-01
## [21,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [22,] 0.0007593014 0.003623188 2.124358e-05 -0.621358222 7.328180e-01
## [23,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [24,] 0.0007593014 0.003623188 2.124358e-05 -0.621358222 7.328180e-01
## [25,] 0.0056074766 0.003623188 1.297451e-05 0.550882783 2.908570e-01
## [26,] 0.0254291163 0.003623188 5.770943e-06 9.077185239 5.570944e-20
## [27,] 0.0015325670 0.003623188 2.161494e-05 -0.449674614 6.735275e-01
## [28,] 0.0131278539 0.003623188 1.595706e-05 2.379361417 8.671331e-03
## [29,] 0.0205905206 0.003623188 1.077969e-05 5.167857453 1.183964e-07
## [30,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [31,] 0.0015186029 0.003623188 2.124358e-05 -0.456617713 6.760271e-01
## [32,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [33,] 0.0034246575 0.003623188 1.055982e-05 -0.061094178 5.243579e-01
## [34,] 0.0005733945 0.003623188 1.609593e-05 -0.760172919 7.764244e-01
## [35,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [36,] 0.0101149425 0.003623188 1.287395e-05 1.809281336 3.520365e-02
## [37,] 0.0000000000 0.003623188 3.198209e-05 -0.640674601 7.391329e-01
## [38,] 0.0077625571 0.003623188 1.271871e-05 1.160679998 1.228860e-01
## [39,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [40,] 0.0006833713 0.003623188 6.209661e-06 -1.179740170 8.809482e-01
## [41,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [42,] 0.0113895216 0.003623188 1.050507e-05 2.396164542 8.283826e-03
## [43,] 0.0015186029 0.003623188 1.050507e-05 -0.649332580 7.419383e-01
## [44,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [45,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [46,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [47,] 0.0033129460 0.003623188 7.022246e-06 -0.117074734 5.465996e-01
## [48,] 0.0057339450 0.003623188 1.609593e-05 0.526114228 2.994044e-01
## [49,] 0.0005694761 0.003623188 1.587432e-05 -0.766444193 7.782940e-01
## [50,] 0.0030581040 0.003623188 1.065172e-05 -0.173142404 5.687303e-01
## [51,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [52,] 0.0015186029 0.003623188 2.124358e-05 -0.456617713 6.760271e-01
## [53,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [54,] 0.0147106898 0.003623188 9.059519e-06 3.683673298 1.149484e-04
## [55,] 0.0192307692 0.003623188 1.530840e-05 3.989061729 3.316758e-05
## [56,] 0.0068649886 0.003623188 1.603097e-05 0.809666782 2.090659e-01
## [57,] 0.0045871560 0.003623188 1.282941e-05 0.269128154 3.939155e-01
## [58,] 0.0075930144 0.003623188 1.050507e-05 1.224819495 1.103216e-01
## [59,] 0.0022779043 0.003623188 1.050507e-05 -0.415063571 6.609523e-01
## [60,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [61,] 0.0015220700 0.003623188 2.135430e-05 -0.454682106 6.753310e-01
## [62,] 0.0059014814 0.003623188 3.188823e-06 1.275834530 1.010070e-01
## [63,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [64,] 0.0020022883 0.003623188 7.897611e-06 -0.576777591 7.179551e-01
## [65,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [66,] 0.0005694761 0.003623188 7.820438e-06 -1.091974737 8.625779e-01
## [67,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [68,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [69,] 0.0009111617 0.003623188 6.209661e-06 -1.088328523 8.617749e-01
## [70,] 0.0182232346 0.003623188 1.050507e-05 4.504585626 3.325129e-06
## [71,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [72,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [73,] 0.0015186029 0.003623188 1.050507e-05 -0.649332580 7.419383e-01
## [74,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [75,] 0.0037965072 0.003623188 2.124358e-05 0.037603812 4.850018e-01
## [76,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [77,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [78,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [79,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [80,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [81,] 0.0026575550 0.003623188 1.050507e-05 -0.297929066 6.171213e-01
## [82,] 0.0057339450 0.003623188 1.609593e-05 0.526114228 2.994044e-01
## [83,] 0.0034403670 0.003623188 3.242857e-05 -0.032104298 5.128056e-01
## [84,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [85,] 0.0000000000 0.003623188 1.609593e-05 -0.903093714 8.167619e-01
## [86,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [87,] 0.0126728111 0.003623188 1.619851e-05 2.248500327 1.227215e-02
## [88,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [89,] 0.0022779043 0.003623188 1.587432e-05 -0.337649739 6.321864e-01
## [90,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [91,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [92,] 0.0079726651 0.003623188 1.050507e-05 1.341953999 8.980546e-02
## [93,] 0.0017084282 0.003623188 7.820438e-06 -0.684697673 7.532326e-01
## [94,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [95,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [96,] 0.0051605505 0.003623188 7.929615e-06 0.545946531 2.925513e-01
## [97,] 0.0029488860 0.003623188 9.096232e-06 -0.223575372 5.884561e-01
## [98,] 0.0034246575 0.003623188 1.595706e-05 -0.049699455 5.198191e-01
## [99,] 0.0045871560 0.003623188 1.609593e-05 0.240272639 4.050595e-01
## [100,] 0.0035203976 0.003623188 5.623924e-06 -0.043344556 5.172866e-01
## [101,] 0.0022779043 0.003623188 1.050507e-05 -0.415063571 6.609523e-01
## [102,] 0.0049374589 0.003623188 9.154199e-06 0.434384744 3.320045e-01
## [103,] 0.0026033192 0.003623188 8.970993e-06 -0.340505568 6.332621e-01
## [104,] 0.0057208238 0.003623188 1.603097e-05 0.523902035 3.001733e-01
## [105,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [106,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [107,] 0.0178147268 0.003623188 1.590652e-05 3.558294459 1.866354e-04
## [108,] 0.0050113895 0.003623188 1.265277e-05 0.390265013 3.481703e-01
## [109,] 0.0160919540 0.003623188 2.161494e-05 2.681923891 3.660006e-03
## [110,] 0.0045766590 0.003623188 9.059519e-06 0.316777802 3.757061e-01
## [111,] 0.0130165962 0.003623188 8.970993e-06 3.136194059 8.557795e-04
## [112,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [113,] 0.0000000000 0.003623188 1.277763e-05 -1.013598162 8.446127e-01
## [114,] 0.0028473804 0.003623188 1.587432e-05 -0.194718255 5.771932e-01
## [115,] 0.0051487414 0.003623188 1.603097e-05 0.381019662 3.515943e-01
## [116,] 0.0282227307 0.003623188 1.060873e-05 7.552579583 2.133604e-14
## [117,] 0.0045558087 0.003623188 1.587432e-05 0.234076200 4.074629e-01
## [118,] 0.0028473804 0.003623188 5.135810e-06 -0.342333802 6.339501e-01
## [119,] 0.0013016596 0.003623188 8.970993e-06 -0.775093022 7.808577e-01
## [120,] 0.0109589041 0.003623188 1.271871e-05 2.056936495 1.984617e-02
## [121,] 0.0009784736 0.003623188 9.017750e-06 -0.880703586 8.107609e-01
## [122,] 0.0049467275 0.003623188 1.055982e-05 0.407294521 3.418958e-01
## [123,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [124,] 0.0103668262 0.003623188 1.031195e-05 2.100022453 1.786343e-02
## [125,] 0.0153758542 0.003623188 1.587432e-05 2.949774409 1.590030e-03
## [126,] 0.0069124424 0.003623188 1.619851e-05 0.817259344 2.068901e-01
## [127,] 0.0032110092 0.003623188 1.282941e-05 -0.115075486 5.458074e-01
## [128,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [129,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [130,] 0.0175038052 0.003623188 2.135430e-05 3.003766040 1.333301e-03
## [131,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [132,] 0.0086560364 0.003623188 1.265277e-05 1.414884690 7.855115e-02
## [133,] 0.0006508298 0.003623188 8.970993e-06 -0.992386748 8.394955e-01
## [134,] 0.0030372058 0.003623188 1.050507e-05 -0.180794562 5.717356e-01
## [135,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [136,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [137,] 0.0185614849 0.003623188 3.280353e-05 2.608199220 4.550998e-03
## [138,] 0.0014958117 0.003623188 2.603754e-06 -1.318391544 9.063137e-01
## [139,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [140,] 0.0031536697 0.003623188 7.929615e-06 -0.166735022 5.662107e-01
## [141,] 0.0022779043 0.003623188 1.587432e-05 -0.337649739 6.321864e-01
## [142,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [143,] 0.0057112261 0.003623188 4.844093e-06 0.948707013 1.713848e-01
## [144,] 0.0000000000 0.003623188 1.603097e-05 -0.904921697 8.172466e-01
## [145,] 0.0177880897 0.003623188 2.178921e-05 3.034539714 1.204515e-03
## [146,] 0.0118764846 0.003623188 1.590652e-05 2.069378039 1.925531e-02
## [147,] 0.0051369863 0.003623188 1.595706e-05 0.378958346 3.523594e-01
## [148,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [149,] 0.0009762447 0.003623188 8.970993e-06 -0.883739885 8.115817e-01
## [150,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [151,] 0.0013698630 0.003623188 1.271871e-05 -0.631832997 7.362520e-01
## [152,] 0.0022779043 0.003623188 1.587432e-05 -0.337649739 6.321864e-01
## [153,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [154,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [155,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [156,] 0.0020248038 0.003623188 3.346058e-06 -0.873805045 8.088878e-01
## [157,] 0.0051605505 0.003623188 1.609593e-05 0.383193434 3.507882e-01
## [158,] 0.0092165899 0.003623188 1.619851e-05 1.389755737 8.230153e-02
## [159,] 0.0009762447 0.003623188 8.970993e-06 -0.883739885 8.115817e-01
## [160,] 0.0000000000 0.003623188 1.609593e-05 -0.903093714 8.167619e-01
## [161,] 0.0030372058 0.003623188 1.050507e-05 -0.180794562 5.717356e-01
## [162,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [163,] 0.0006508298 0.003623188 8.970993e-06 -0.992386748 8.394955e-01
## [164,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [165,] 0.0045558087 0.003623188 3.198209e-05 0.164911686 4.345067e-01
## [166,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [167,] 0.0013016596 0.003623188 8.970993e-06 -0.775093022 7.808577e-01
## [168,] 0.0051252847 0.003623188 1.587432e-05 0.377007684 3.530839e-01
## [169,] 0.0023728170 0.003623188 2.451182e-06 -0.798640360 7.877505e-01
## [170,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [171,] 0.0051252847 0.003623188 1.587432e-05 0.377007684 3.530839e-01
## [172,] 0.0034403670 0.003623188 1.609593e-05 -0.045568949 5.181731e-01
## [173,] 0.0038226300 0.003623188 2.154015e-05 0.042972570 4.828617e-01
## [174,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [175,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [176,] 0.0091743119 0.003623188 1.282941e-05 1.549806955 6.059393e-02
## [177,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [178,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [179,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [180,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [181,] 0.0086405530 0.003623188 7.980148e-06 1.776111383 3.785728e-02
## [182,] 0.0068337130 0.003623188 2.124358e-05 0.696565845 2.430373e-01
## [183,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [184,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [185,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [186,] 0.0045871560 0.003623188 1.609593e-05 0.240272639 4.050595e-01
## [187,] 0.0007593014 0.003623188 1.050507e-05 -0.883601590 8.115443e-01
## [188,] 0.0022935780 0.003623188 1.282941e-05 -0.371211247 6.447599e-01
## [189,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [190,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [191,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [192,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [193,] 0.0026033192 0.003623188 8.970993e-06 -0.340505568 6.332621e-01
## [194,] 0.0026333114 0.003623188 9.154199e-06 -0.327168183 6.282297e-01
## [195,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [196,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [197,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [198,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [199,] 0.0033361134 0.003623188 5.702437e-06 -0.120216783 5.478443e-01
## [200,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [201,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [202,] 0.0142694064 0.003623188 1.595706e-05 2.665133284 3.847891e-03
## [203,] 0.0036697248 0.003623188 1.282941e-05 0.012992394 4.948169e-01
## [204,] 0.0062642369 0.003623188 1.587432e-05 0.662870654 2.537067e-01
## [205,] 0.0009578544 0.003623188 5.225590e-06 -1.165960889 8.781849e-01
## [206,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [207,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [208,] 0.0077803204 0.003623188 1.277763e-05 1.162970523 1.224207e-01
## [209,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [210,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [211,] 0.0007593014 0.003623188 1.050507e-05 -0.883601590 8.115443e-01
## [212,] 0.0165525114 0.003623188 1.595706e-05 3.236677019 6.046510e-04
## [213,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [214,] 0.0022779043 0.003623188 8.970993e-06 -0.449152431 6.733392e-01
## [215,] 0.0056194125 0.003623188 7.046629e-06 0.752001323 2.260251e-01
## [216,] 0.0094912680 0.003623188 1.050507e-05 1.810492018 3.510976e-02
## [217,] 0.0054669704 0.003623188 1.265277e-05 0.518342473 3.021097e-01
## [218,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [219,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [220,] 0.0087557604 0.003623188 1.291116e-05 1.428408233 7.658720e-02
## [221,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [222,] 0.0032765400 0.003623188 9.096232e-06 -0.114936635 5.457523e-01
## [223,] 0.0247086247 0.003623188 1.298353e-05 5.851755458 2.432057e-09
## [224,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [225,] 0.0056947608 0.003623188 1.587432e-05 0.519939169 3.015530e-01
## [226,] 0.0041761579 0.003623188 1.050507e-05 0.170608952 4.322656e-01
## [227,] 0.0038138825 0.003623188 2.145321e-05 0.041170976 4.835798e-01
## [228,] 0.0059633028 0.003623188 1.282941e-05 0.653331794 2.567712e-01
## [229,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [230,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [231,] 0.0214452214 0.003623188 1.298353e-05 4.946076411 3.786212e-07
## [232,] 0.0025802752 0.003623188 7.929615e-06 -0.370358323 6.444422e-01
## [233,] 0.0050384513 0.003623188 6.850364e-06 0.540729809 2.943469e-01
## [234,] 0.0172494172 0.003623188 1.298353e-05 3.781631922 7.790181e-05
## [235,] 0.0034168565 0.003623188 1.587432e-05 -0.051786770 5.206507e-01
## [236,] 0.0050113895 0.003623188 1.265277e-05 0.390265013 3.481703e-01
## [237,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [238,] 0.0022779043 0.003623188 1.050507e-05 -0.415063571 6.609523e-01
## [239,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [240,] 0.0015220700 0.003623188 1.055982e-05 -0.646580053 7.410481e-01
## [241,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [242,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [243,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [244,] 0.0028473804 0.003623188 1.587432e-05 -0.194718255 5.771932e-01
## [245,] 0.0059633028 0.003623188 1.282941e-05 0.653331794 2.567712e-01
## [246,] 0.0007610350 0.003623188 2.135430e-05 -0.619370113 7.321637e-01
## [247,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [248,] 0.0030721966 0.003623188 2.167742e-05 -0.118342671 5.471019e-01
## [249,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [250,] 0.0123743233 0.003623188 2.178921e-05 1.874751242 3.041348e-02
## [251,] 0.0009829620 0.003623188 9.096232e-06 -0.875407794 8.093240e-01
## [252,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [253,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [254,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [255,] 0.0244874715 0.003623188 1.587432e-05 5.236678165 8.174621e-08
## [256,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [257,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [258,] 0.0160628845 0.003623188 8.806074e-06 4.191974305 1.382687e-05
## [259,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [260,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [261,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [262,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [263,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [264,] 0.0027841053 0.003623188 6.925562e-06 -0.318843435 6.250774e-01
## [265,] 0.0007610350 0.003623188 2.135430e-05 -0.619370113 7.321637e-01
## [266,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [267,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [268,] 0.0034168565 0.003623188 1.050507e-05 -0.063660057 5.253795e-01
## [269,] 0.0113895216 0.003623188 1.050507e-05 2.396164542 8.283826e-03
## [270,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [271,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [272,] 0.0075930144 0.003623188 1.050507e-05 1.224819495 1.103216e-01
## [273,] 0.0075930144 0.003623188 6.925562e-06 1.508495334 6.571390e-02
## [274,] 0.0185185185 0.003623188 2.176473e-05 3.192813251 7.044702e-04
## [275,] 0.0057077626 0.003623188 1.595706e-05 0.521844279 3.008894e-01
## [276,] 0.0028473804 0.003623188 1.587432e-05 -0.194718255 5.771932e-01
## [277,] 0.0006508298 0.003623188 8.970993e-06 -0.992386748 8.394955e-01
## attr(,"cluster")
## [1] Low Low High High Low High Low Low Low High High Low Low High Low
## [16] Low High Low Low Low Low Low Low Low High High High Low High Low
## [31] Low Low Low High Low High Low Low Low Low Low Low Low Low Low
## [46] Low High High Low High Low Low Low High High High High Low Low Low
## [61] Low High Low High Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low High High Low High Low High Low Low Low
## [91] Low Low Low Low Low High High Low High Low Low High Low High Low
## [106] Low High Low High High Low Low High Low High High Low Low Low Low
## [121] Low Low Low High Low High High Low Low Low Low Low Low Low Low
## [136] Low High High Low High Low Low High High High High Low Low Low Low
## [151] Low Low Low Low Low Low High High Low High Low Low Low High Low
## [166] Low Low Low Low Low Low High High Low Low High Low Low Low Low
## [181] High Low Low Low Low High Low High High Low Low Low Low High Low
## [196] Low Low Low High Low Low Low High Low High Low Low High Low Low
## [211] Low Low Low Low High Low Low Low Low High Low High High High Low
## [226] Low High High Low Low High High High High Low Low Low Low Low Low
## [241] Low Low Low Low High Low Low High Low High High Low Low Low Low
## [256] Low Low High Low Low Low Low Low Low Low Low Low Low Low Low
## [271] Low Low Low High Low Low Low
## Levels: Low High
## attr(,"gstari")
## [1] FALSE
## attr(,"call")
## localG(x = data_merge$KEK, listw = W.rook, alternative = "greater")
## attr(,"class")
## [1] "localG"
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ2",
title = "Local Gi", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Coldspot", "No SAC", "Hotspot"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Matriks Pembobot Spasial Queen Cognity
Indeks Moran Global
W.queen <- nb2listw(queen, style='W')
W.queen2 <- nb2listw(queen, style='B')
moran(data_merge$KEK, W.queen, n=length(W.queen$neighbours), S0=Szero(W.queen))
## $I
## [1] 0.3491721
##
## $K
## [1] 18.9482
Kurtosis
IM <- moran.test(data_merge$KEK, W.queen,randomisation=T,
alternative="greater", zero.policy = FALSE)
IM
##
## Moran I test under randomisation
##
## data: data_merge$KEK
## weights: W.queen
##
## Moran I statistic standard deviate = 9.6888, p-value < 2.2e-16
## alternative hypothesis: greater
## sample estimates:
## Moran I statistic Expectation Variance
## 0.349172064 -0.003623188 0.001325887
Karena nilai Moran’s I > 0 (bernilai positif) dan p-value < alpha 5%, maka cukup bukti untuk mengatakan bahwa ada autokorelasi spasial positif (lokasi yang berdekatan cenderung memiliki nilai yang mirip)
Indeks Moran Lokal
## Ii E.Ii Var.Ii Z.Ii Pr(z > E(Ii))
## 1 0.02695691 -7.376709e-04 0.024873336 0.1756013 0.43030357
## 2 -0.07902723 -7.376709e-04 0.040242830 -0.3902650 0.65182970
## 3 1.38934374 -8.612240e-03 0.584811161 1.8280399 0.03377178
## 4 -0.03803741 -5.062083e-05 0.001228309 -1.0838741 0.86078969
## 5 0.07513153 -7.376709e-04 0.067566375 0.2918772 0.38519026
## 6 -0.08280637 -3.425436e-03 0.132137772 -0.2183749 0.58643149
data_merge$lmI <- LM[, "Ii"] # local Moran's I
data_merge$lmZ <- LM[, "Z.Ii"] # z-scores
# p-values corresponding to alternative greater
data_merge$lmp <- LM[, "Pr(z > E(Ii))"]
p1 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p1
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
p2 <- tm_shape(data_merge) +
tm_polygons(col = "lmp", title = "p-value",
breaks = c(-Inf, 0.05, Inf)) +
tm_layout(legend.outside = TRUE)
p2
Klasifikasi Warna :
Less than 0.05 = Ada Autokorelasi Positif
0.05 or more = Tidak Ada Autokorelasi Positif
## tmap mode set to interactive viewing
p3 <- tm_shape(data_merge) +
tm_polygons(col = "lmI", title = "Local Moran's I",
style = "quantile") +
tm_layout(legend.outside = TRUE)
p3
## Variable(s) "lmI" contains positive and negative values, so midpoint is set to 0. Set midpoint = NA to show the full spectrum of the color palette.
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ",
title = "Local Moran's I", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Negative SAC", "No SAC", "Positive SAC"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)
Rentang nilai untuk klasifikasi warna, dengan:
-Inf hingga -1.96 mewakili Negative Spatial Autocorrelation (SAC).
-1.96 hingga 1.96 mewakili No Spatial Autocorrelation (No SAC).
1.96 hingga Inf mewakili Positive Spatial Autocorrelation (Positive SAC)
# Autokorelasi spasial positif (Z-score > 1.96)
positive_autocorr <- data_merge[data_merge$lmZ > 1.96, ]
# Autokorelasi spasial negatif (Z-score < -1.96)
negative_autocorr <- data_merge[data_merge$lmZ < -1.96, ]
# Area tanpa autokorelasi spasial (Z-score antara -1.96 dan 1.96)
no_autocorr <- data_merge[data_merge$lmZ >= -1.96 & data_merge$lmZ <= 1.96, ]
Moran Plot memiliki kemiringan positif: ini menunjukkan adanya autokorelasi spasial positif, di mana lokasi dengan nilai tinggi cenderung berdekatan dengan lokasi bernilai tinggi, dan lokasi bernilai rendah cenderung berdekatan dengan lokasi bernilai rendah.
Getis-Ord Gi
Mendeteksi adanya wilayah yang hotspot/coldspot.
## [1] -0.175601343 0.390265013 1.828039900 -1.083874118 -0.291877205
## [6] -0.218374907 -0.480581224 -0.786098730 -0.766467085 0.533996866
## [11] -0.173142404 -0.291877205 -0.786098730 0.523902035 -1.117870599
## [16] -1.018587043 0.763863545 -0.909375678 -0.634354664 -0.127136697
## [21] -0.786098730 -0.621358222 -0.291877205 -0.621358222 0.550882783
## [26] 9.077185239 0.099479164 2.379361417 5.167857453 -0.634354664
## [31] -0.456617713 -0.786098730 -0.061094178 -0.760172919 -1.295613270
## [36] 1.809281336 -0.640674601 1.160679998 -1.117870599 -1.179740170
## [41] -1.018587043 2.396164542 -0.649332580 -0.623512709 -0.291877205
## [46] -1.295613270 -0.117074734 0.526114228 -0.766444193 -0.173142404
## [51] -0.766467085 -0.456617713 -0.291877205 3.683673298 3.989061729
## [56] 0.809666782 0.269128154 1.224819495 -0.557799295 -0.250122285
## [61] -0.454682106 1.275834530 -1.018587043 -0.576777591 -0.532198076
## [66] -0.895897783 -0.506277205 -1.209680475 -1.088328523 4.504585626
## [71] -0.291877205 -1.117870599 -0.649332580 -1.209680475 0.037603812
## [76] -0.378199745 -0.291877205 -0.786098730 -0.909375678 -0.909375678
## [81] -0.297929066 0.526114228 -0.032104298 -1.018587043 -0.903093714
## [86] -0.623512709 2.326158626 -0.506277205 -0.337649739 -1.018587043
## [91] -0.532198076 1.341953999 -0.799722058 -1.117870599 -1.117870599
## [96] 0.545946531 -0.223575372 -0.049699455 0.240272639 -0.043344556
## [101] -0.415063571 0.434384744 -0.340505568 0.523902035 -1.117870599
## [106] -0.909375678 3.558294459 0.390265013 2.681923891 0.316777802
## [111] 3.136194059 0.006032634 -1.013598162 -0.194718255 0.381019662
## [116] 7.552579583 0.234076200 -0.342333802 -0.775093022 2.056936495
## [121] -0.880703586 0.407294521 -1.117870599 2.100022453 2.949774409
## [126] 0.817259344 -0.115075486 -1.117870599 -0.909375678 3.003766040
## [131] -0.909375678 1.414884690 -0.992386748 -0.180794562 -1.018587043
## [136] -1.209680475 2.608199220 -1.318391544 -0.291877205 -0.309411796
## [141] -0.337649739 -0.786098730 0.948707013 -0.904921697 3.034539714
## [146] 2.069378039 0.378958346 -1.295613270 -0.607370609 -0.786098730
## [151] -0.631832997 -0.337649739 -0.623512709 -0.634354664 -1.117870599
## [156] -0.873805045 0.383193434 1.389755737 -0.883739885 -0.903093714
## [161] -0.180794562 -0.766467085 -0.992386748 0.397196034 0.164911686
## [166] -0.532198076 -0.775093022 0.377007684 -0.798640360 -1.018587043
## [171] 0.377007684 -0.045568949 0.042972570 -0.506277205 -0.250122285
## [176] 1.549806955 -0.786098730 -1.117870599 -0.480581224 -0.786098730
## [181] 1.776111383 0.696565845 -0.480581224 -0.762432124 -1.018587043
## [186] 0.240272639 -0.883601590 -0.371211247 0.397196034 -0.786098730
## [191] -0.480581224 -0.786098730 -0.340505568 -0.327168183 -1.117870599
## [196] -0.909375678 -0.909375678 -1.018587043 -0.120216783 -0.766467085
## [201] -0.506277205 2.665133284 0.012992394 0.662870654 -1.165960889
## [206] -0.291877205 -1.117870599 1.162970523 -1.295613270 -0.623512709
## [211] -0.883601590 2.825156350 0.006032634 -0.449152431 0.752001323
## [216] 1.810492018 0.518342473 -0.909375678 -0.786098730 1.428408233
## [221] -0.532198076 -0.114936635 5.851755458 0.397196034 0.519939169
## [226] 0.170608952 0.041170976 0.653331794 -0.786098730 -0.291877205
## [231] 4.946076411 -0.370358323 0.540729809 3.781631922 -0.051786770
## [236] 0.390265013 -0.291877205 -0.415063571 -0.909375678 -0.646580053
## [241] -1.117870599 -0.786098730 -0.762432124 -0.194718255 0.653331794
## [246] -0.619370113 -0.291877205 -0.118342671 -0.909375678 1.874751242
## [251] -0.981228225 -0.909375678 -0.634354664 -1.117870599 5.236678165
## [256] -1.209680475 -0.909375678 4.191974305 -1.018587043 -0.480581224
## [261] -0.762432124 -0.766467085 -0.909375678 -0.318843435 -0.619370113
## [266] -0.480581224 -1.018587043 -0.063660057 2.396164542 -0.480581224
## [271] -0.634354664 1.224819495 1.508495334 3.192813251 0.392460143
## [276] -0.194718255 -0.992386748
## attr(,"internals")
## Gi E(Gi) V(Gi) Z(Gi) Pr(z > E(Gi))
## [1,] 0.0031321185 0.003623188 7.820438e-06 -0.175601343 5.696964e-01
## [2,] 0.0050113895 0.003623188 1.265277e-05 0.390265013 3.481703e-01
## [3,] 0.0109953704 0.003623188 1.626375e-05 1.828039900 3.377178e-02
## [4,] 0.0010401498 0.003623188 5.679422e-06 -1.083874118 8.607897e-01
## [5,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [6,] 0.0029624753 0.003623188 9.154199e-06 -0.218374907 5.864315e-01
## [7,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [8,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [9,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [10,] 0.0052304675 0.003623188 9.059519e-06 0.533996866 2.966719e-01
## [11,] 0.0030581040 0.003623188 1.065172e-05 -0.173142404 5.687303e-01
## [12,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [13,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [14,] 0.0057208238 0.003623188 1.603097e-05 0.523902035 3.001733e-01
## [15,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [16,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [17,] 0.0061162080 0.003623188 1.065172e-05 0.763863545 2.224743e-01
## [18,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [19,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [20,] 0.0030372058 0.003623188 2.124358e-05 -0.127136697 5.505839e-01
## [21,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [22,] 0.0007593014 0.003623188 2.124358e-05 -0.621358222 7.328180e-01
## [23,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [24,] 0.0007593014 0.003623188 2.124358e-05 -0.621358222 7.328180e-01
## [25,] 0.0056074766 0.003623188 1.297451e-05 0.550882783 2.908570e-01
## [26,] 0.0254291163 0.003623188 5.770943e-06 9.077185239 5.570944e-20
## [27,] 0.0040229885 0.003623188 1.615182e-05 0.099479164 4.603789e-01
## [28,] 0.0131278539 0.003623188 1.595706e-05 2.379361417 8.671331e-03
## [29,] 0.0205905206 0.003623188 1.077969e-05 5.167857453 1.183964e-07
## [30,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [31,] 0.0015186029 0.003623188 2.124358e-05 -0.456617713 6.760271e-01
## [32,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [33,] 0.0034246575 0.003623188 1.055982e-05 -0.061094178 5.243579e-01
## [34,] 0.0005733945 0.003623188 1.609593e-05 -0.760172919 7.764244e-01
## [35,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [36,] 0.0101149425 0.003623188 1.287395e-05 1.809281336 3.520365e-02
## [37,] 0.0000000000 0.003623188 3.198209e-05 -0.640674601 7.391329e-01
## [38,] 0.0077625571 0.003623188 1.271871e-05 1.160679998 1.228860e-01
## [39,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [40,] 0.0006833713 0.003623188 6.209661e-06 -1.179740170 8.809482e-01
## [41,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [42,] 0.0113895216 0.003623188 1.050507e-05 2.396164542 8.283826e-03
## [43,] 0.0015186029 0.003623188 1.050507e-05 -0.649332580 7.419383e-01
## [44,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [45,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [46,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [47,] 0.0033129460 0.003623188 7.022246e-06 -0.117074734 5.465996e-01
## [48,] 0.0057339450 0.003623188 1.609593e-05 0.526114228 2.994044e-01
## [49,] 0.0005694761 0.003623188 1.587432e-05 -0.766444193 7.782940e-01
## [50,] 0.0030581040 0.003623188 1.065172e-05 -0.173142404 5.687303e-01
## [51,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [52,] 0.0015186029 0.003623188 2.124358e-05 -0.456617713 6.760271e-01
## [53,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [54,] 0.0147106898 0.003623188 9.059519e-06 3.683673298 1.149484e-04
## [55,] 0.0192307692 0.003623188 1.530840e-05 3.989061729 3.316758e-05
## [56,] 0.0068649886 0.003623188 1.603097e-05 0.809666782 2.090659e-01
## [57,] 0.0045871560 0.003623188 1.282941e-05 0.269128154 3.939155e-01
## [58,] 0.0075930144 0.003623188 1.050507e-05 1.224819495 1.103216e-01
## [59,] 0.0019524894 0.003623188 8.970993e-06 -0.557799295 7.115093e-01
## [60,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [61,] 0.0015220700 0.003623188 2.135430e-05 -0.454682106 6.753310e-01
## [62,] 0.0059014814 0.003623188 3.188823e-06 1.275834530 1.010070e-01
## [63,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [64,] 0.0020022883 0.003623188 7.897611e-06 -0.576777591 7.179551e-01
## [65,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [66,] 0.0012655024 0.003623188 6.925562e-06 -0.895897783 8.148463e-01
## [67,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [68,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [69,] 0.0009111617 0.003623188 6.209661e-06 -1.088328523 8.617749e-01
## [70,] 0.0182232346 0.003623188 1.050507e-05 4.504585626 3.325129e-06
## [71,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [72,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [73,] 0.0015186029 0.003623188 1.050507e-05 -0.649332580 7.419383e-01
## [74,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [75,] 0.0037965072 0.003623188 2.124358e-05 0.037603812 4.850018e-01
## [76,] 0.0022779043 0.003623188 1.265277e-05 -0.378199745 6.473589e-01
## [77,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [78,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [79,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [80,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [81,] 0.0026575550 0.003623188 1.050507e-05 -0.297929066 6.171213e-01
## [82,] 0.0057339450 0.003623188 1.609593e-05 0.526114228 2.994044e-01
## [83,] 0.0034403670 0.003623188 3.242857e-05 -0.032104298 5.128056e-01
## [84,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [85,] 0.0000000000 0.003623188 1.609593e-05 -0.903093714 8.167619e-01
## [86,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [87,] 0.0119815668 0.003623188 1.291116e-05 2.326158626 1.000504e-02
## [88,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [89,] 0.0022779043 0.003623188 1.587432e-05 -0.337649739 6.321864e-01
## [90,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [91,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [92,] 0.0079726651 0.003623188 1.050507e-05 1.341953999 8.980546e-02
## [93,] 0.0015186029 0.003623188 6.925562e-06 -0.799722058 7.880641e-01
## [94,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [95,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [96,] 0.0051605505 0.003623188 7.929615e-06 0.545946531 2.925513e-01
## [97,] 0.0029488860 0.003623188 9.096232e-06 -0.223575372 5.884561e-01
## [98,] 0.0034246575 0.003623188 1.595706e-05 -0.049699455 5.198191e-01
## [99,] 0.0045871560 0.003623188 1.609593e-05 0.240272639 4.050595e-01
## [100,] 0.0035203976 0.003623188 5.623924e-06 -0.043344556 5.172866e-01
## [101,] 0.0022779043 0.003623188 1.050507e-05 -0.415063571 6.609523e-01
## [102,] 0.0049374589 0.003623188 9.154199e-06 0.434384744 3.320045e-01
## [103,] 0.0026033192 0.003623188 8.970993e-06 -0.340505568 6.332621e-01
## [104,] 0.0057208238 0.003623188 1.603097e-05 0.523902035 3.001733e-01
## [105,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [106,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [107,] 0.0178147268 0.003623188 1.590652e-05 3.558294459 1.866354e-04
## [108,] 0.0050113895 0.003623188 1.265277e-05 0.390265013 3.481703e-01
## [109,] 0.0160919540 0.003623188 2.161494e-05 2.681923891 3.660006e-03
## [110,] 0.0045766590 0.003623188 9.059519e-06 0.316777802 3.757061e-01
## [111,] 0.0130165962 0.003623188 8.970993e-06 3.136194059 8.557795e-04
## [112,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [113,] 0.0000000000 0.003623188 1.277763e-05 -1.013598162 8.446127e-01
## [114,] 0.0028473804 0.003623188 1.587432e-05 -0.194718255 5.771932e-01
## [115,] 0.0051487414 0.003623188 1.603097e-05 0.381019662 3.515943e-01
## [116,] 0.0282227307 0.003623188 1.060873e-05 7.552579583 2.133604e-14
## [117,] 0.0045558087 0.003623188 1.587432e-05 0.234076200 4.074629e-01
## [118,] 0.0028473804 0.003623188 5.135810e-06 -0.342333802 6.339501e-01
## [119,] 0.0013016596 0.003623188 8.970993e-06 -0.775093022 7.808577e-01
## [120,] 0.0109589041 0.003623188 1.271871e-05 2.056936495 1.984617e-02
## [121,] 0.0009784736 0.003623188 9.017750e-06 -0.880703586 8.107609e-01
## [122,] 0.0049467275 0.003623188 1.055982e-05 0.407294521 3.418958e-01
## [123,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [124,] 0.0103668262 0.003623188 1.031195e-05 2.100022453 1.786343e-02
## [125,] 0.0153758542 0.003623188 1.587432e-05 2.949774409 1.590030e-03
## [126,] 0.0069124424 0.003623188 1.619851e-05 0.817259344 2.068901e-01
## [127,] 0.0032110092 0.003623188 1.282941e-05 -0.115075486 5.458074e-01
## [128,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [129,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [130,] 0.0175038052 0.003623188 2.135430e-05 3.003766040 1.333301e-03
## [131,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [132,] 0.0086560364 0.003623188 1.265277e-05 1.414884690 7.855115e-02
## [133,] 0.0006508298 0.003623188 8.970993e-06 -0.992386748 8.394955e-01
## [134,] 0.0030372058 0.003623188 1.050507e-05 -0.180794562 5.717356e-01
## [135,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [136,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [137,] 0.0185614849 0.003623188 3.280353e-05 2.608199220 4.550998e-03
## [138,] 0.0014958117 0.003623188 2.603754e-06 -1.318391544 9.063137e-01
## [139,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [140,] 0.0028032620 0.003623188 7.022246e-06 -0.309411796 6.214959e-01
## [141,] 0.0022779043 0.003623188 1.587432e-05 -0.337649739 6.321864e-01
## [142,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [143,] 0.0057112261 0.003623188 4.844093e-06 0.948707013 1.713848e-01
## [144,] 0.0000000000 0.003623188 1.603097e-05 -0.904921697 8.172466e-01
## [145,] 0.0177880897 0.003623188 2.178921e-05 3.034539714 1.204515e-03
## [146,] 0.0118764846 0.003623188 1.590652e-05 2.069378039 1.925531e-02
## [147,] 0.0051369863 0.003623188 1.595706e-05 0.378958346 3.523594e-01
## [148,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [149,] 0.0020248038 0.003623188 6.925562e-06 -0.607370609 7.281975e-01
## [150,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [151,] 0.0013698630 0.003623188 1.271871e-05 -0.631832997 7.362520e-01
## [152,] 0.0022779043 0.003623188 1.587432e-05 -0.337649739 6.321864e-01
## [153,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [154,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [155,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [156,] 0.0020248038 0.003623188 3.346058e-06 -0.873805045 8.088878e-01
## [157,] 0.0051605505 0.003623188 1.609593e-05 0.383193434 3.507882e-01
## [158,] 0.0092165899 0.003623188 1.619851e-05 1.389755737 8.230153e-02
## [159,] 0.0009762447 0.003623188 8.970993e-06 -0.883739885 8.115817e-01
## [160,] 0.0000000000 0.003623188 1.609593e-05 -0.903093714 8.167619e-01
## [161,] 0.0030372058 0.003623188 1.050507e-05 -0.180794562 5.717356e-01
## [162,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [163,] 0.0006508298 0.003623188 8.970993e-06 -0.992386748 8.394955e-01
## [164,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [165,] 0.0045558087 0.003623188 3.198209e-05 0.164911686 4.345067e-01
## [166,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [167,] 0.0013016596 0.003623188 8.970993e-06 -0.775093022 7.808577e-01
## [168,] 0.0051252847 0.003623188 1.587432e-05 0.377007684 3.530839e-01
## [169,] 0.0023728170 0.003623188 2.451182e-06 -0.798640360 7.877505e-01
## [170,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [171,] 0.0051252847 0.003623188 1.587432e-05 0.377007684 3.530839e-01
## [172,] 0.0034403670 0.003623188 1.609593e-05 -0.045568949 5.181731e-01
## [173,] 0.0038226300 0.003623188 2.154015e-05 0.042972570 4.828617e-01
## [174,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [175,] 0.0027334852 0.003623188 1.265277e-05 -0.250122285 5.987536e-01
## [176,] 0.0091743119 0.003623188 1.282941e-05 1.549806955 6.059393e-02
## [177,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [178,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [179,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [180,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [181,] 0.0086405530 0.003623188 7.980148e-06 1.776111383 3.785728e-02
## [182,] 0.0068337130 0.003623188 2.124358e-05 0.696565845 2.430373e-01
## [183,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [184,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [185,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [186,] 0.0045871560 0.003623188 1.609593e-05 0.240272639 4.050595e-01
## [187,] 0.0007593014 0.003623188 1.050507e-05 -0.883601590 8.115443e-01
## [188,] 0.0022935780 0.003623188 1.282941e-05 -0.371211247 6.447599e-01
## [189,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [190,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [191,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [192,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [193,] 0.0026033192 0.003623188 8.970993e-06 -0.340505568 6.332621e-01
## [194,] 0.0026333114 0.003623188 9.154199e-06 -0.327168183 6.282297e-01
## [195,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [196,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [197,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [198,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [199,] 0.0033361134 0.003623188 5.702437e-06 -0.120216783 5.478443e-01
## [200,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [201,] 0.0018223235 0.003623188 1.265277e-05 -0.506277205 6.936690e-01
## [202,] 0.0142694064 0.003623188 1.595706e-05 2.665133284 3.847891e-03
## [203,] 0.0036697248 0.003623188 1.282941e-05 0.012992394 4.948169e-01
## [204,] 0.0062642369 0.003623188 1.587432e-05 0.662870654 2.537067e-01
## [205,] 0.0009578544 0.003623188 5.225590e-06 -1.165960889 8.781849e-01
## [206,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [207,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [208,] 0.0077803204 0.003623188 1.277763e-05 1.162970523 1.224207e-01
## [209,] 0.0000000000 0.003623188 7.820438e-06 -1.295613270 9.024456e-01
## [210,] 0.0011389522 0.003623188 1.587432e-05 -0.623512709 7.335262e-01
## [211,] 0.0007593014 0.003623188 1.050507e-05 -0.883601590 8.115443e-01
## [212,] 0.0136986301 0.003623188 1.271871e-05 2.825156350 2.362878e-03
## [213,] 0.0036446469 0.003623188 1.265277e-05 0.006032634 4.975933e-01
## [214,] 0.0022779043 0.003623188 8.970993e-06 -0.449152431 6.733392e-01
## [215,] 0.0056194125 0.003623188 7.046629e-06 0.752001323 2.260251e-01
## [216,] 0.0094912680 0.003623188 1.050507e-05 1.810492018 3.510976e-02
## [217,] 0.0054669704 0.003623188 1.265277e-05 0.518342473 3.021097e-01
## [218,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [219,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [220,] 0.0087557604 0.003623188 1.291116e-05 1.428408233 7.658720e-02
## [221,] 0.0018982536 0.003623188 1.050507e-05 -0.532198076 7.027056e-01
## [222,] 0.0032765400 0.003623188 9.096232e-06 -0.114936635 5.457523e-01
## [223,] 0.0247086247 0.003623188 1.298353e-05 5.851755458 2.432057e-09
## [224,] 0.0050458716 0.003623188 1.282941e-05 0.397196034 3.456115e-01
## [225,] 0.0056947608 0.003623188 1.587432e-05 0.519939169 3.015530e-01
## [226,] 0.0041761579 0.003623188 1.050507e-05 0.170608952 4.322656e-01
## [227,] 0.0038138825 0.003623188 2.145321e-05 0.041170976 4.835798e-01
## [228,] 0.0059633028 0.003623188 1.282941e-05 0.653331794 2.567712e-01
## [229,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [230,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [231,] 0.0214452214 0.003623188 1.298353e-05 4.946076411 3.786212e-07
## [232,] 0.0025802752 0.003623188 7.929615e-06 -0.370358323 6.444422e-01
## [233,] 0.0050384513 0.003623188 6.850364e-06 0.540729809 2.943469e-01
## [234,] 0.0172494172 0.003623188 1.298353e-05 3.781631922 7.790181e-05
## [235,] 0.0034168565 0.003623188 1.587432e-05 -0.051786770 5.206507e-01
## [236,] 0.0050113895 0.003623188 1.265277e-05 0.390265013 3.481703e-01
## [237,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [238,] 0.0022779043 0.003623188 1.050507e-05 -0.415063571 6.609523e-01
## [239,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [240,] 0.0015220700 0.003623188 1.055982e-05 -0.646580053 7.410481e-01
## [241,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [242,] 0.0000000000 0.003623188 2.124358e-05 -0.786098730 7.840952e-01
## [243,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [244,] 0.0028473804 0.003623188 1.587432e-05 -0.194718255 5.771932e-01
## [245,] 0.0059633028 0.003623188 1.282941e-05 0.653331794 2.567712e-01
## [246,] 0.0007610350 0.003623188 2.135430e-05 -0.619370113 7.321637e-01
## [247,] 0.0022779043 0.003623188 2.124358e-05 -0.291877205 6.148097e-01
## [248,] 0.0030721966 0.003623188 2.167742e-05 -0.118342671 5.471019e-01
## [249,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [250,] 0.0123743233 0.003623188 2.178921e-05 1.874751242 3.041348e-02
## [251,] 0.0008600917 0.003623188 7.929615e-06 -0.981228225 8.367599e-01
## [252,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [253,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [254,] 0.0000000000 0.003623188 1.050507e-05 -1.117870599 8.681889e-01
## [255,] 0.0244874715 0.003623188 1.587432e-05 5.236678165 8.174621e-08
## [256,] 0.0000000000 0.003623188 8.970993e-06 -1.209680475 8.867992e-01
## [257,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [258,] 0.0160628845 0.003623188 8.806074e-06 4.191974305 1.382687e-05
## [259,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [260,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [261,] 0.0009111617 0.003623188 1.265277e-05 -0.762432124 7.770989e-01
## [262,] 0.0011389522 0.003623188 1.050507e-05 -0.766467085 7.783008e-01
## [263,] 0.0000000000 0.003623188 1.587432e-05 -0.909375678 8.184241e-01
## [264,] 0.0027841053 0.003623188 6.925562e-06 -0.318843435 6.250774e-01
## [265,] 0.0007610350 0.003623188 2.135430e-05 -0.619370113 7.321637e-01
## [266,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [267,] 0.0000000000 0.003623188 1.265277e-05 -1.018587043 8.458005e-01
## [268,] 0.0034168565 0.003623188 1.050507e-05 -0.063660057 5.253795e-01
## [269,] 0.0113895216 0.003623188 1.050507e-05 2.396164542 8.283826e-03
## [270,] 0.0017084282 0.003623188 1.587432e-05 -0.480581224 6.845929e-01
## [271,] 0.0013667426 0.003623188 1.265277e-05 -0.634354664 7.370753e-01
## [272,] 0.0075930144 0.003623188 1.050507e-05 1.224819495 1.103216e-01
## [273,] 0.0075930144 0.003623188 6.925562e-06 1.508495334 6.571390e-02
## [274,] 0.0185185185 0.003623188 2.176473e-05 3.192813251 7.044702e-04
## [275,] 0.0050228311 0.003623188 1.271871e-05 0.392460143 3.473591e-01
## [276,] 0.0028473804 0.003623188 1.587432e-05 -0.194718255 5.771932e-01
## [277,] 0.0006508298 0.003623188 8.970993e-06 -0.992386748 8.394955e-01
## attr(,"cluster")
## [1] Low Low High High Low High Low Low Low High High Low Low High Low
## [16] Low High Low Low Low Low Low Low Low High High High Low High Low
## [31] Low Low Low High Low High Low Low Low Low Low Low Low Low Low
## [46] Low High High Low High Low Low Low High High High High Low Low Low
## [61] Low High Low High Low Low Low Low Low Low Low Low Low Low Low
## [76] Low Low Low Low Low Low High High Low High Low High Low Low Low
## [91] Low Low Low Low Low High High Low High Low Low High Low High Low
## [106] Low High Low High High Low Low High Low High High Low Low Low Low
## [121] Low Low Low High Low High High Low Low Low Low Low Low Low Low
## [136] Low High High Low High Low Low High High High High Low Low Low Low
## [151] Low Low Low Low Low Low High High Low High Low Low Low High Low
## [166] Low Low Low Low Low Low High High Low Low High Low Low Low Low
## [181] High Low Low Low Low High Low High High Low Low Low Low High Low
## [196] Low Low Low High Low Low Low High Low High Low Low High Low Low
## [211] Low Low Low Low High Low Low Low Low High Low High High High Low
## [226] Low High High Low Low High High High High Low Low Low Low Low Low
## [241] Low Low Low Low High Low Low High Low High High Low Low Low Low
## [256] Low Low High Low Low Low Low Low Low Low Low Low Low Low Low
## [271] Low Low Low High Low Low Low
## Levels: Low High
## attr(,"gstari")
## [1] FALSE
## attr(,"call")
## localG(x = data_merge$KEK, listw = W.queen, alternative = "greater")
## attr(,"class")
## [1] "localG"
## tmap mode set to plotting
tm_shape(data_merge) + tm_polygons(col = "lmZ2",
title = "Local Gi", style = "fixed",
breaks = c(-Inf, -1.96, 1.96, Inf),
labels = c("Coldspot", "No SAC", "Hotspot"),
palette = c("blue", "white", "red")) +
tm_layout(legend.outside = TRUE)