Enhanced Vegetation Index downloaded from Nasa Giovanni
raster<-raster("./raster/GIOVANNI-g4.timeAvgMap.MYD13C2_006_CMG_0_05_Deg_Monthly_EVI.20200101-20200531.74W_6N_72W_7N.tif")
check_landscape(raster) %>%
kable(caption="EVI features") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed"),
fixed_thead = T,
full_width = F,
position = "left")
layer | crs | units | class | n_classes | OK |
---|---|---|---|---|---|
1 | geographic | degrees | non-integer | 578 | x |
The raster has a geographic CRS, is necesary to transform to projected CRS using epsg:3117
crs(raster)<- "+init=epsg:3117 +proj=longlat +datum=WGS84 +no_defs"
check_landscape(raster) %>% kable()
layer | crs | units | class | n_classes | OK |
---|---|---|---|---|---|
1 | projected | m | non-integer | 578 | x |
## GIOVANNI.g4.timeAvgMap.MYD13C2_006_CMG_0_05_Deg_Monthly_EVI.20200101.20200531.74W_6N_72W_7N
## Min. 0.18222
## 1st Qu. 0.35004
## Median 0.45538
## 3rd Qu. 0.53242
## Max. 0.61878
## NA's 0.00000
ggplot(dat, aes(x = breaks, y = counts, fill =counts)) + ## Note the new aes fill here
geom_bar(stat = "identity",alpha = 1)+
labs(x="Pixel value",y="Frequency",
title = "Raster histogram",
caption = "EVI from Nasa Giovanny:\nGIOVANNI-g4.timeAvgMap.MYD13C2_006_CMG_0_05_Deg_Monthly_EVI.20200101-20200531.74W_6N_72W_7N")+
scale_x_continuous(breaks = seq(-0.1,1,0.1),
labels = seq(-0.1,1,0.1))+
scale_fill_gradient(low="grey80", high="white")+ ## to play with colors limits
theme_light()+
theme(plot.title=element_text(size=19),
plot.caption = element_text(size = 7, color="grey60"),
panel.background = element_rect(fill="steelblue"),
panel.grid.major = element_line(size = 0.3, linetype = 'dotted',
colour = "white"),
panel.grid.minor = element_line(size = 0.3, linetype = 'dotted',
colour = "white"),
legend.position = "none")
This is where the different classes and the cutoff points of each one are defined. In this example we are going to reclassify the raster into tree classes.
# create classification matrix
reclass_df <- c(0.181, 0.3, 1,
0.3, 0.4, 1,
0.4, 0.5, 2,
0.5, Inf, 3)
reclass_df
## [1] 0.181 0.300 1.000 0.300 0.400 1.000 0.400 0.500 2.000 0.500 Inf 3.000
# reshape the object into a matrix with columns and rows
reclass_m <- matrix(reclass_df,
ncol = 3,
byrow = TRUE)
reclass_m
## [,1] [,2] [,3]
## [1,] 0.181 0.3 1
## [2,] 0.300 0.4 1
## [3,] 0.400 0.5 2
## [4,] 0.500 Inf 3
And here is where the reclassification process is made
# reclassify the raster using the reclass object - reclass_m
raster_classified <- reclassify(raster,reclass_m)
ggplot(dat2, aes(x = breaks, y = counts, fill =counts)) + ## Note the new aes fill here
geom_bar(stat = "identity",alpha = 1)+
labs(x="Class",y="",
title = "Number of pixels in each class",
caption = "EVI from Nasa Giovanny:\nGIOVANNI-g4.timeAvgMap.MYD13C2_006_CMG_0_05_Deg_Monthly_EVI.20200101-20200531.74W_6N_72W_7N")+
scale_x_continuous(breaks = seq(1,3,1),
labels = seq(1,3,1))+
scale_fill_gradient(low="white", high="white")+ ## to play with colors limits
theme_light()+
theme(plot.title=element_text(size=19),
plot.caption = element_text(size = 7, color="grey60"),
panel.background = element_rect(fill="steelblue"),
panel.grid.major = element_line(size = 0.3, linetype = 'dotted',
colour = "white"),
panel.grid.minor = element_line(size = 0.3, linetype = 'dotted',
colour = "white"),
legend.position = "none")
# plot reclassified data
show_landscape(raster_classified)
check_landscape(raster_classified)
## layer crs units class n_classes OK
## 1 1 projected m integer 3 v
Here we see the tree different patch
list_lsm(level = 'patch')
## # A tibble: 12 x 5
## metric name type level function_name
## <chr> <chr> <chr> <chr> <chr>
## 1 area patch area area and edge met~ patch lsm_p_area
## 2 cai core area index core area metric patch lsm_p_cai
## 3 circle related circumscribing circle shape metric patch lsm_p_circle
## 4 contig contiguity index shape metric patch lsm_p_contig
## 5 core core area core area metric patch lsm_p_core
## 6 enn euclidean nearest neighbor dis~ aggregation metric patch lsm_p_enn
## 7 frac fractal dimension index shape metric patch lsm_p_frac
## 8 gyrate radius of gyration area and edge met~ patch lsm_p_gyrate
## 9 ncore number of core areas core area metric patch lsm_p_ncore
## 10 para perimeter-area ratio shape metric patch lsm_p_para
## 11 perim patch perimeter area and edge met~ patch lsm_p_perim
## 12 shape shape index shape metric patch lsm_p_shape
metrics<- calculate_lsm(raster_classified, level = "patch")
kable(metrics, caption = "Landscape Metrics by patch") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed"),
fixed_thead = T,
full_width = F,
position = "left") %>%
scroll_box(width = "400px", height = "400px")
layer | level | class | id | metric | value |
---|---|---|---|---|---|
1 | patch | 1 | 1 | area | 0.0000002 |
1 | patch | 1 | 2 | area | 0.0000005 |
1 | patch | 1 | 3 | area | 0.0000542 |
1 | patch | 1 | 4 | area | 0.0000005 |
1 | patch | 1 | 5 | area | 0.0000002 |
1 | patch | 2 | 6 | area | 0.0000002 |
1 | patch | 2 | 7 | area | 0.0000017 |
1 | patch | 2 | 8 | area | 0.0000012 |
1 | patch | 2 | 9 | area | 0.0000015 |
1 | patch | 2 | 10 | area | 0.0000005 |
1 | patch | 2 | 11 | area | 0.0000007 |
1 | patch | 2 | 12 | area | 0.0000012 |
1 | patch | 2 | 13 | area | 0.0000002 |
1 | patch | 2 | 14 | area | 0.0000005 |
1 | patch | 2 | 15 | area | 0.0000002 |
1 | patch | 2 | 16 | area | 0.0000002 |
1 | patch | 2 | 17 | area | 0.0000145 |
1 | patch | 2 | 18 | area | 0.0000002 |
1 | patch | 2 | 19 | area | 0.0000055 |
1 | patch | 2 | 20 | area | 0.0000002 |
1 | patch | 2 | 21 | area | 0.0000002 |
1 | patch | 2 | 22 | area | 0.0000002 |
1 | patch | 2 | 23 | area | 0.0000007 |
1 | patch | 2 | 24 | area | 0.0000002 |
1 | patch | 3 | 25 | area | 0.0000610 |
1 | patch | 1 | 1 | cai | 0.0000000 |
1 | patch | 1 | 2 | cai | 0.0000000 |
1 | patch | 1 | 3 | cai | 51.6129032 |
1 | patch | 1 | 4 | cai | 0.0000000 |
1 | patch | 1 | 5 | cai | 0.0000000 |
1 | patch | 2 | 6 | cai | 0.0000000 |
1 | patch | 2 | 7 | cai | 0.0000000 |
1 | patch | 2 | 8 | cai | 0.0000000 |
1 | patch | 2 | 9 | cai | 0.0000000 |
1 | patch | 2 | 10 | cai | 0.0000000 |
1 | patch | 2 | 11 | cai | 0.0000000 |
1 | patch | 2 | 12 | cai | 0.0000000 |
1 | patch | 2 | 13 | cai | 0.0000000 |
1 | patch | 2 | 14 | cai | 0.0000000 |
1 | patch | 2 | 15 | cai | 0.0000000 |
1 | patch | 2 | 16 | cai | 0.0000000 |
1 | patch | 2 | 17 | cai | 15.5172414 |
1 | patch | 2 | 18 | cai | 0.0000000 |
1 | patch | 2 | 19 | cai | 4.5454545 |
1 | patch | 2 | 20 | cai | 0.0000000 |
1 | patch | 2 | 21 | cai | 0.0000000 |
1 | patch | 2 | 22 | cai | 0.0000000 |
1 | patch | 2 | 23 | cai | 0.0000000 |
1 | patch | 2 | 24 | cai | 0.0000000 |
1 | patch | 3 | 25 | cai | 53.2786885 |
1 | patch | 1 | 1 | circle | 0.3633802 |
1 | patch | 1 | 2 | circle | 0.4907042 |
1 | patch | 1 | 3 | circle | 0.6183799 |
1 | patch | 1 | 4 | circle | 0.4907042 |
1 | patch | 1 | 5 | circle | 0.3633802 |
1 | patch | 2 | 6 | circle | 0.3633802 |
1 | patch | 2 | 7 | circle | 0.8019405 |
1 | patch | 2 | 8 | circle | 0.5102925 |
1 | patch | 2 | 9 | circle | 0.7365711 |
1 | patch | 2 | 10 | circle | 0.4907042 |
1 | patch | 2 | 11 | circle | 0.7061755 |
1 | patch | 2 | 12 | circle | 0.6816901 |
1 | patch | 2 | 13 | circle | 0.3633802 |
1 | patch | 2 | 14 | circle | 0.6816901 |
1 | patch | 2 | 15 | circle | 0.3633802 |
1 | patch | 2 | 16 | circle | 0.3633802 |
1 | patch | 2 | 17 | circle | 0.7529836 |
1 | patch | 2 | 18 | circle | 0.3633802 |
1 | patch | 2 | 19 | circle | 0.7955382 |
1 | patch | 2 | 20 | circle | 0.3633802 |
1 | patch | 2 | 21 | circle | 0.3633802 |
1 | patch | 2 | 22 | circle | 0.3633802 |
1 | patch | 2 | 23 | circle | 0.6180281 |
1 | patch | 2 | 24 | circle | 0.3633802 |
1 | patch | 3 | 25 | circle | 0.5917603 |
1 | patch | 1 | 1 | contig | 0.0000000 |
1 | patch | 1 | 2 | contig | 0.1666667 |
1 | patch | 1 | 3 | contig | 0.8026114 |
1 | patch | 1 | 4 | contig | 0.1666667 |
1 | patch | 1 | 5 | contig | 0.0000000 |
1 | patch | 2 | 6 | contig | 0.0000000 |
1 | patch | 2 | 7 | contig | 0.2857143 |
1 | patch | 2 | 8 | contig | 0.4333333 |
1 | patch | 2 | 9 | contig | 0.3055556 |
1 | patch | 2 | 10 | contig | 0.1666667 |
1 | patch | 2 | 11 | contig | 0.1666667 |
1 | patch | 2 | 12 | contig | 0.3333333 |
1 | patch | 2 | 13 | contig | 0.0000000 |
1 | patch | 2 | 14 | contig | 0.0833333 |
1 | patch | 2 | 15 | contig | 0.0000000 |
1 | patch | 2 | 16 | contig | 0.0000000 |
1 | patch | 2 | 17 | contig | 0.5747126 |
1 | patch | 2 | 18 | contig | 0.0000000 |
1 | patch | 2 | 19 | contig | 0.5075758 |
1 | patch | 2 | 20 | contig | 0.0000000 |
1 | patch | 2 | 21 | contig | 0.0000000 |
1 | patch | 2 | 22 | contig | 0.0000000 |
1 | patch | 2 | 23 | contig | 0.2222222 |
1 | patch | 2 | 24 | contig | 0.0000000 |
1 | patch | 3 | 25 | contig | 0.8053279 |
1 | patch | 1 | 1 | core | 0.0000000 |
1 | patch | 1 | 2 | core | 0.0000000 |
1 | patch | 1 | 3 | core | 0.0000280 |
1 | patch | 1 | 4 | core | 0.0000000 |
1 | patch | 1 | 5 | core | 0.0000000 |
1 | patch | 2 | 6 | core | 0.0000000 |
1 | patch | 2 | 7 | core | 0.0000000 |
1 | patch | 2 | 8 | core | 0.0000000 |
1 | patch | 2 | 9 | core | 0.0000000 |
1 | patch | 2 | 10 | core | 0.0000000 |
1 | patch | 2 | 11 | core | 0.0000000 |
1 | patch | 2 | 12 | core | 0.0000000 |
1 | patch | 2 | 13 | core | 0.0000000 |
1 | patch | 2 | 14 | core | 0.0000000 |
1 | patch | 2 | 15 | core | 0.0000000 |
1 | patch | 2 | 16 | core | 0.0000000 |
1 | patch | 2 | 17 | core | 0.0000022 |
1 | patch | 2 | 18 | core | 0.0000000 |
1 | patch | 2 | 19 | core | 0.0000002 |
1 | patch | 2 | 20 | core | 0.0000000 |
1 | patch | 2 | 21 | core | 0.0000000 |
1 | patch | 2 | 22 | core | 0.0000000 |
1 | patch | 2 | 23 | core | 0.0000000 |
1 | patch | 2 | 24 | core | 0.0000000 |
1 | patch | 3 | 25 | core | 0.0000325 |
1 | patch | 1 | 1 | enn | 0.1000000 |
1 | patch | 1 | 2 | enn | 0.1000000 |
1 | patch | 1 | 3 | enn | 0.1118034 |
1 | patch | 1 | 4 | enn | 0.1118034 |
1 | patch | 1 | 5 | enn | 0.1118034 |
1 | patch | 2 | 6 | enn | 0.1000000 |
1 | patch | 2 | 7 | enn | 0.1000000 |
1 | patch | 2 | 8 | enn | 0.1414214 |
1 | patch | 2 | 9 | enn | 0.1000000 |
1 | patch | 2 | 10 | enn | 0.1500000 |
1 | patch | 2 | 11 | enn | 0.1414214 |
1 | patch | 2 | 12 | enn | 0.1000000 |
1 | patch | 2 | 13 | enn | 0.1000000 |
1 | patch | 2 | 14 | enn | 0.1500000 |
1 | patch | 2 | 15 | enn | 0.1118034 |
1 | patch | 2 | 16 | enn | 0.1000000 |
1 | patch | 2 | 17 | enn | 0.1118034 |
1 | patch | 2 | 18 | enn | 0.1000000 |
1 | patch | 2 | 19 | enn | 0.1000000 |
1 | patch | 2 | 20 | enn | 0.1000000 |
1 | patch | 2 | 21 | enn | 0.1000000 |
1 | patch | 2 | 22 | enn | 0.1000000 |
1 | patch | 2 | 23 | enn | 0.1000000 |
1 | patch | 2 | 24 | enn | 0.4000000 |
1 | patch | 3 | 25 | enn | NA |
1 | patch | 1 | 1 | frac | 1.0000000 |
1 | patch | 1 | 2 | frac | 0.9777697 |
1 | patch | 1 | 3 | frac | -2.0557305 |
1 | patch | 1 | 4 | frac | 0.9777697 |
1 | patch | 1 | 5 | frac | 1.0000000 |
1 | patch | 2 | 6 | frac | 1.0000000 |
1 | patch | 2 | 7 | frac | 0.6853421 |
1 | patch | 2 | 8 | frac | 0.9490775 |
1 | patch | 2 | 9 | frac | 0.8300437 |
1 | patch | 2 | 10 | frac | 0.9777697 |
1 | patch | 2 | 11 | frac | 0.8499916 |
1 | patch | 2 | 12 | frac | 0.8658642 |
1 | patch | 2 | 13 | frac | 1.0000000 |
1 | patch | 2 | 14 | frac | 0.8691760 |
1 | patch | 2 | 15 | frac | 1.0000000 |
1 | patch | 2 | 16 | frac | 1.0000000 |
1 | patch | 2 | 17 | frac | -0.1447544 |
1 | patch | 2 | 18 | frac | 1.0000000 |
1 | patch | 2 | 19 | frac | 0.5133325 |
1 | patch | 2 | 20 | frac | 1.0000000 |
1 | patch | 2 | 21 | frac | 1.0000000 |
1 | patch | 2 | 22 | frac | 1.0000000 |
1 | patch | 2 | 23 | frac | 0.9412036 |
1 | patch | 2 | 24 | frac | 1.0000000 |
1 | patch | 3 | 25 | frac | -3.0972023 |
1 | patch | 1 | 1 | gyrate | 0.0000000 |
1 | patch | 1 | 2 | gyrate | 0.0250000 |
1 | patch | 1 | 3 | gyrate | 0.3519576 |
1 | patch | 1 | 4 | gyrate | 0.0250000 |
1 | patch | 1 | 5 | gyrate | 0.0000000 |
1 | patch | 2 | 6 | gyrate | 0.0000000 |
1 | patch | 2 | 7 | gyrate | 0.0897433 |
1 | patch | 2 | 8 | gyrate | 0.0423901 |
1 | patch | 2 | 9 | gyrate | 0.0690102 |
1 | patch | 2 | 10 | gyrate | 0.0250000 |
1 | patch | 2 | 11 | gyrate | 0.0431546 |
1 | patch | 2 | 12 | gyrate | 0.0518030 |
1 | patch | 2 | 13 | gyrate | 0.0000000 |
1 | patch | 2 | 14 | gyrate | 0.0353553 |
1 | patch | 2 | 15 | gyrate | 0.0000000 |
1 | patch | 2 | 16 | gyrate | 0.0000000 |
1 | patch | 2 | 17 | gyrate | 0.2106883 |
1 | patch | 2 | 18 | gyrate | 0.0000000 |
1 | patch | 2 | 19 | gyrate | 0.1724022 |
1 | patch | 2 | 20 | gyrate | 0.0000000 |
1 | patch | 2 | 21 | gyrate | 0.0000000 |
1 | patch | 2 | 22 | gyrate | 0.0000000 |
1 | patch | 2 | 23 | gyrate | 0.0333333 |
1 | patch | 2 | 24 | gyrate | 0.0000000 |
1 | patch | 3 | 25 | gyrate | 0.3403119 |
1 | patch | 1 | 1 | ncore | 0.0000000 |
1 | patch | 1 | 2 | ncore | 0.0000000 |
1 | patch | 1 | 3 | ncore | 2.0000000 |
1 | patch | 1 | 4 | ncore | 0.0000000 |
1 | patch | 1 | 5 | ncore | 0.0000000 |
1 | patch | 2 | 6 | ncore | 0.0000000 |
1 | patch | 2 | 7 | ncore | 0.0000000 |
1 | patch | 2 | 8 | ncore | 0.0000000 |
1 | patch | 2 | 9 | ncore | 0.0000000 |
1 | patch | 2 | 10 | ncore | 0.0000000 |
1 | patch | 2 | 11 | ncore | 0.0000000 |
1 | patch | 2 | 12 | ncore | 0.0000000 |
1 | patch | 2 | 13 | ncore | 0.0000000 |
1 | patch | 2 | 14 | ncore | 0.0000000 |
1 | patch | 2 | 15 | ncore | 0.0000000 |
1 | patch | 2 | 16 | ncore | 0.0000000 |
1 | patch | 2 | 17 | ncore | 2.0000000 |
1 | patch | 2 | 18 | ncore | 0.0000000 |
1 | patch | 2 | 19 | ncore | 1.0000000 |
1 | patch | 2 | 20 | ncore | 0.0000000 |
1 | patch | 2 | 21 | ncore | 0.0000000 |
1 | patch | 2 | 22 | ncore | 0.0000000 |
1 | patch | 2 | 23 | ncore | 0.0000000 |
1 | patch | 2 | 24 | ncore | 0.0000000 |
1 | patch | 3 | 25 | ncore | 3.0000000 |
1 | patch | 1 | 1 | para | 80.0000000 |
1 | patch | 1 | 2 | para | 60.0000000 |
1 | patch | 1 | 3 | para | 13.8248848 |
1 | patch | 1 | 4 | para | 60.0000000 |
1 | patch | 1 | 5 | para | 80.0000000 |
1 | patch | 2 | 6 | para | 80.0000000 |
1 | patch | 2 | 7 | para | 57.1428571 |
1 | patch | 2 | 8 | para | 40.0000000 |
1 | patch | 2 | 9 | para | 46.6666667 |
1 | patch | 2 | 10 | para | 60.0000000 |
1 | patch | 2 | 11 | para | 66.6666667 |
1 | patch | 2 | 12 | para | 48.0000000 |
1 | patch | 2 | 13 | para | 80.0000000 |
1 | patch | 2 | 14 | para | 80.0000000 |
1 | patch | 2 | 15 | para | 80.0000000 |
1 | patch | 2 | 16 | para | 80.0000000 |
1 | patch | 2 | 17 | para | 31.7241379 |
1 | patch | 2 | 18 | para | 80.0000000 |
1 | patch | 2 | 19 | para | 34.5454545 |
1 | patch | 2 | 20 | para | 80.0000000 |
1 | patch | 2 | 21 | para | 80.0000000 |
1 | patch | 2 | 22 | para | 80.0000000 |
1 | patch | 2 | 23 | para | 53.3333333 |
1 | patch | 2 | 24 | para | 80.0000000 |
1 | patch | 3 | 25 | para | 14.0983607 |
1 | patch | 1 | 1 | perim | 0.2000000 |
1 | patch | 1 | 2 | perim | 0.3000000 |
1 | patch | 1 | 3 | perim | 7.5000000 |
1 | patch | 1 | 4 | perim | 0.3000000 |
1 | patch | 1 | 5 | perim | 0.2000000 |
1 | patch | 2 | 6 | perim | 0.2000000 |
1 | patch | 2 | 7 | perim | 1.0000000 |
1 | patch | 2 | 8 | perim | 0.5000000 |
1 | patch | 2 | 9 | perim | 0.7000000 |
1 | patch | 2 | 10 | perim | 0.3000000 |
1 | patch | 2 | 11 | perim | 0.5000000 |
1 | patch | 2 | 12 | perim | 0.6000000 |
1 | patch | 2 | 13 | perim | 0.2000000 |
1 | patch | 2 | 14 | perim | 0.4000000 |
1 | patch | 2 | 15 | perim | 0.2000000 |
1 | patch | 2 | 16 | perim | 0.2000000 |
1 | patch | 2 | 17 | perim | 4.6000000 |
1 | patch | 2 | 18 | perim | 0.2000000 |
1 | patch | 2 | 19 | perim | 1.9000000 |
1 | patch | 2 | 20 | perim | 0.2000000 |
1 | patch | 2 | 21 | perim | 0.2000000 |
1 | patch | 2 | 22 | perim | 0.2000000 |
1 | patch | 2 | 23 | perim | 0.4000000 |
1 | patch | 2 | 24 | perim | 0.2000000 |
1 | patch | 3 | 25 | perim | 8.6000000 |
1 | patch | 1 | 1 | shape | 0.0500000 |
1 | patch | 1 | 2 | shape | 0.0750000 |
1 | patch | 1 | 3 | shape | 1.8750000 |
1 | patch | 1 | 4 | shape | 0.0750000 |
1 | patch | 1 | 5 | shape | 0.0500000 |
1 | patch | 2 | 6 | shape | 0.0500000 |
1 | patch | 2 | 7 | shape | 0.2500000 |
1 | patch | 2 | 8 | shape | 0.1250000 |
1 | patch | 2 | 9 | shape | 0.1750000 |
1 | patch | 2 | 10 | shape | 0.0750000 |
1 | patch | 2 | 11 | shape | 0.1250000 |
1 | patch | 2 | 12 | shape | 0.1500000 |
1 | patch | 2 | 13 | shape | 0.0500000 |
1 | patch | 2 | 14 | shape | 0.1000000 |
1 | patch | 2 | 15 | shape | 0.0500000 |
1 | patch | 2 | 16 | shape | 0.0500000 |
1 | patch | 2 | 17 | shape | 1.1500000 |
1 | patch | 2 | 18 | shape | 0.0500000 |
1 | patch | 2 | 19 | shape | 0.4750000 |
1 | patch | 2 | 20 | shape | 0.0500000 |
1 | patch | 2 | 21 | shape | 0.0500000 |
1 | patch | 2 | 22 | shape | 0.0500000 |
1 | patch | 2 | 23 | shape | 0.1000000 |
1 | patch | 2 | 24 | shape | 0.0500000 |
1 | patch | 3 | 25 | shape | 2.1500000 |
metrics %>%
group_by(class, metric) %>%
summarise(Val=sum(value)) %>%
kable(caption="Landscape Metrics by patch class") %>%
kable_styling(bootstrap_options = c("striped", "hover", "condensed"),
fixed_thead = T,
full_width = F,
position = "left") %>%
scroll_box(width = "250px", height = "400px")
class | metric | Val |
---|---|---|
1 | area | 0.0000557 |
1 | cai | 51.6129032 |
1 | circle | 2.3265487 |
1 | contig | 1.1359447 |
1 | core | 0.0000280 |
1 | enn | 0.5354102 |
1 | frac | 1.8998090 |
1 | gyrate | 0.4019576 |
1 | ncore | 2.0000000 |
1 | para | 293.8248848 |
1 | perim | 8.5000000 |
1 | shape | 2.1250000 |
2 | area | 0.0000305 |
2 | cai | 20.0626959 |
2 | circle | 10.0460359 |
2 | contig | 3.0791138 |
2 | core | 0.0000025 |
2 | enn | 2.4064495 |
2 | frac | 16.3370465 |
2 | gyrate | 0.7728803 |
2 | ncore | 3.0000000 |
2 | para | 1238.0791163 |
2 | perim | 12.7000000 |
2 | shape | 3.1750000 |
3 | area | 0.0000610 |
3 | cai | 53.2786885 |
3 | circle | 0.5917603 |
3 | contig | 0.8053279 |
3 | core | 0.0000325 |
3 | enn | NA |
3 | frac | -3.0972023 |
3 | gyrate | 0.3403119 |
3 | ncore | 3.0000000 |
3 | para | 14.0983607 |
3 | perim | 8.6000000 |
3 | shape | 2.1500000 |
show_patches(raster_classified, labels = T)
# show patches of all classes
show_patches(raster_classified, class = "all", labels = FALSE)
# fill patch according to area
show_lsm(raster_classified, what = "lsm_p_area", class = "global", label_lsm = TRUE)
show_correlation(metrics)