library(tidyverse)
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## v readr 1.4.0 v forcats 0.5.1
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library(tmap)
## Warning: package 'tmap' was built under R version 4.0.5
library(tmaptools)
## Warning: package 'tmaptools' was built under R version 4.0.5
library(leaflet)
## Warning: package 'leaflet' was built under R version 4.0.5
library(sf)
## Warning: package 'sf' was built under R version 4.0.5
## Linking to GEOS 3.9.0, GDAL 3.2.1, PROJ 7.2.1
library(leaflet.extras)
## Warning: package 'leaflet.extras' was built under R version 4.0.5
library(dplyr)
library(rio)
## Warning: package 'rio' was built under R version 4.0.5
library(sp)
library(raster)
## Warning: package 'raster' was built under R version 4.0.5
##
## Attaching package: 'raster'
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## select
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library(rgdal)
## Warning: package 'rgdal' was built under R version 4.0.5
## rgdal: version: 1.5-23, (SVN revision 1121)
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## Loaded GDAL runtime: GDAL 3.2.1, released 2020/12/29
## Path to GDAL shared files: C:/Users/Haley/Documents/R/win-library/4.0/rgdal/gdal
## GDAL binary built with GEOS: TRUE
## Loaded PROJ runtime: Rel. 7.2.1, January 1st, 2021, [PJ_VERSION: 721]
## Path to PROJ shared files: C:/Users/Haley/Documents/R/win-library/4.0/rgdal/proj
## PROJ CDN enabled: FALSE
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## use options("rgdal_show_exportToProj4_warnings"="none") before loading rgdal.
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library(scales)
##
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## col_factor
#Set variables needed
#read in the files from the GIS folder and assign to usable variables
nhdatafile <- "NHD2016.xlsx"
nhdatafilecsv <- "NHD2016.csv"
usshapefile <- "cb_2014_us_county_5m/cb_2014_us_county_5m.shp"
nhfipscode <- "33"
scdatafile <- "SCGOP2016.csv"
scfipscode <- "45"
#Read in NH election results
setwd("C:/Users/Haley/Desktop/GIS")
#import data from the GIS folder
nhdata <- rio::import(nhdatafilecsv)
nhdata <- nhdata[,c("County", "Clinton", "Sanders")]
#The margin of votes of sanders over clinton
nhdata$SandersMarginVotes <- nhdata$Sanders - nhdata$Clinton
#The percentage point of sanders votes out of all votes
nhdata$SandersPct <- (nhdata$Sanders) / (nhdata$Sanders + nhdata$Clinton)
#Percentage points of clinton votes compared to all votes
nhdata$ClintonPct <- (nhdata$Clinton) / (nhdata$Sanders + nhdata$Clinton)
#Percentage of points sanders had over clinton
nhdata$SandersMarginPctgPoints <- nhdata$SandersPct - nhdata$ClintonPct
#Set the working directory to be the GIS folder on my desktop
setwd("C:/Users/Haley/Desktop/GIS")
#shapefile stores geospatial data
usgeo <- shapefile("cb_2014_us_county_5m/cb_2014_us_county_5m.shp")
## Warning in rgdal::readOGR(dirname(x), fn, stringsAsFactors = stringsAsFactors, :
## Z-dimension discarded
qtm(usgeo)
#review the data in spreadsheet format
#View(usgeo)
#subset NH data from the US shapefile
#upload new hampshire data with the fips codes which are indentifying the geographic areas
nhgeo <- usgeo[usgeo$STATEFP==nhfipscode,]
#make sure tmaps package is picked
#display new hampshire divided by county - levels
qtm(nhgeo)
#structore of the object
str(nhgeo)
## Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots
## ..@ data :'data.frame': 10 obs. of 9 variables:
## .. ..$ STATEFP : chr [1:10] "33" "33" "33" "33" ...
## .. ..$ COUNTYFP: chr [1:10] "009" "011" "007" "001" ...
## .. ..$ COUNTYNS: chr [1:10] "00873178" "00873179" "00873177" "00873174" ...
## .. ..$ AFFGEOID: chr [1:10] "0500000US33009" "0500000US33011" "0500000US33007" "0500000US33001" ...
## .. ..$ GEOID : chr [1:10] "33009" "33011" "33007" "33001" ...
## .. ..$ NAME : chr [1:10] "Grafton" "Hillsborough" "Coos" "Belknap" ...
## .. ..$ LSAD : chr [1:10] "06" "06" "06" "06" ...
## .. ..$ ALAND : chr [1:10] "4425927252" "2269220216" "4648216798" "1036582289" ...
## .. ..$ AWATER : chr [1:10] "105375486" "41604851" "90773891" "177039345" ...
## ..@ polygons :List of 10
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## .. .. .. .. .. .. ..@ area : num 0.539
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## .. .. .. ..@ ID : chr "3077"
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## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
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## .. .. .. .. .. .. ..@ labpt : num [1:2] -72.2 43.4
## .. .. .. .. .. .. ..@ area : num 0.159
## .. .. .. .. .. .. ..@ hole : logi FALSE
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## .. .. .. ..@ plotOrder: int 1
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## .. .. .. ..@ ID : chr "3167"
## .. .. .. ..@ area : num 0.159
## ..@ plotOrder : int [1:10] 3 1 9 8 2 6 5 10 4 7
## ..@ bbox : num [1:2, 1:2] -72.6 42.7 -70.7 45.3
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:2] "x" "y"
## .. .. ..$ : chr [1:2] "min" "max"
## ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slot
## .. .. ..@ projargs: chr "+proj=longlat +datum=NAD83 +no_defs"
#check if county names are in the same format in both files
str(nhgeo$NAME)
## chr [1:10] "Grafton" "Hillsborough" "Coos" "Belknap" "Rockingham" ...
str(nhdata$County)
## chr [1:10] "Belknap" "Carroll" "Cheshire" "Coos" "Grafton" "Hillsborough" ...
#Change te county names to plain characters in nhgeo
nhgeo$NAME <- as.character(nhgeo$NAME)
nhgeo <- nhgeo[order(nhgeo$NAME),]
nhdata <- nhdata[order(nhdata$County),]
if (identical(nhgeo$NAME,nhdata$County)) {
nhmap <- merge(nhgeo, nhdata, by.x = "NAME", by.y = "County")
} else {stop}
nhmap <- merge(nhgeo, nhdata,by.x = "NAME", by.y = "County")
str(nhmap)
## Formal class 'SpatialPolygonsDataFrame' [package "sp"] with 5 slots
## ..@ data :'data.frame': 10 obs. of 15 variables:
## .. ..$ NAME : chr [1:10] "Belknap" "Carroll" "Cheshire" "Coos" ...
## .. ..$ STATEFP : chr [1:10] "33" "33" "33" "33" ...
## .. ..$ COUNTYFP : chr [1:10] "001" "003" "005" "007" ...
## .. ..$ COUNTYNS : chr [1:10] "00873174" "00873175" "00873176" "00873177" ...
## .. ..$ AFFGEOID : chr [1:10] "0500000US33001" "0500000US33003" "0500000US33005" "0500000US33007" ...
## .. ..$ GEOID : chr [1:10] "33001" "33003" "33005" "33007" ...
## .. ..$ LSAD : chr [1:10] "06" "06" "06" "06" ...
## .. ..$ ALAND : chr [1:10] "1036582289" "2411458935" "1830366195" "4648216798" ...
## .. ..$ AWATER : chr [1:10] "177039345" "158933434" "57990901" "90773891" ...
## .. ..$ Clinton : int [1:10] 3495 3230 5132 2013 6918 28147 12250 22829 8813 2497
## .. ..$ Sanders : int [1:10] 6005 5638 12441 3639 14245 39245 18107 31065 15881 5915
## .. ..$ SandersMarginVotes : int [1:10] 2510 2408 7309 1626 7327 11098 5857 8236 7068 3418
## .. ..$ SandersPct : num [1:10] 0.632 0.636 0.708 0.644 0.673 ...
## .. ..$ ClintonPct : num [1:10] 0.368 0.364 0.292 0.356 0.327 ...
## .. ..$ SandersMarginPctgPoints: num [1:10] 0.264 0.272 0.416 0.288 0.346 ...
## ..@ polygons :List of 10
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## .. .. .. ..@ Polygons :List of 1
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## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
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## .. .. .. ..@ area : num 0.508
## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
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## .. .. .. ..@ area : num 0.255
## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
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## .. .. .. .. .. .. ..@ labpt : num [1:2] -71.7 43.3
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## .. .. .. ..@ area : num 0.208
## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
## .. .. .. .. ..$ :Formal class 'Polygon' [package "sp"] with 5 slots
## .. .. .. .. .. .. ..@ labpt : num [1:2] -71 43.3
## .. .. .. .. .. .. ..@ area : num 0.11
## .. .. .. .. .. .. ..@ hole : logi FALSE
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## .. .. .. ..@ ID : chr "2676"
## .. .. .. ..@ area : num 0.11
## .. ..$ :Formal class 'Polygons' [package "sp"] with 5 slots
## .. .. .. ..@ Polygons :List of 1
## .. .. .. .. ..$ :Formal class 'Polygon' [package "sp"] with 5 slots
## .. .. .. .. .. .. ..@ labpt : num [1:2] -72.2 43.4
## .. .. .. .. .. .. ..@ area : num 0.159
## .. .. .. .. .. .. ..@ hole : logi FALSE
## .. .. .. .. .. .. ..@ ringDir: int 1
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## .. .. .. ..@ plotOrder: int 1
## .. .. .. ..@ labpt : num [1:2] -72.2 43.4
## .. .. .. ..@ ID : chr "3167"
## .. .. .. ..@ area : num 0.159
## ..@ plotOrder : int [1:10] 4 5 2 7 6 3 8 10 1 9
## ..@ bbox : num [1:2, 1:2] -72.6 42.7 -70.7 45.3
## .. ..- attr(*, "dimnames")=List of 2
## .. .. ..$ : chr [1:2] "x" "y"
## .. .. ..$ : chr [1:2] "min" "max"
## ..@ proj4string:Formal class 'CRS' [package "sp"] with 1 slot
## .. .. ..@ projargs: chr "+proj=longlat +datum=NAD83 +no_defs"
qtm(nhmap, "SandersMarginVotes")
## Some legend labels were too wide. These labels have been resized to 0.62, 0.62, 0.62, 0.57, 0.53. Increase legend.width (argument of tm_layout) to make the legend wider and therefore the labels larger.
qtm(nhmap, "SandersMarginPctgPoints")
## To control the look and feel, use tm_shape()
tm_shape(nhmap) + tm_fill("SandersMarginVotes", title = "Sanders Margin, Total Votes", palette = "PRGn")+ tm_borders(alpha = .5)+ tm_text("NAME", size = .8)
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Some legend labels were too wide. These labels have been resized to 0.62, 0.62, 0.62, 0.57, 0.53. Increase legend.width (argument of tm_layout) to make the legend wider and therefore the labels larger.
nhstaticcmap<- tm_shape(nhmap) + tm_fill("SandersMarginVotes", title = "Sanders Margin, Total Votes", palette = "viridis")+ tm_borders(alpha = .5) + tm_text("NAME", size = .8)+ tm_style("classic")
nhstaticcmap
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Some legend labels were too wide. These labels have been resized to 0.62, 0.62, 0.62, 0.57, 0.53. Increase legend.width (argument of tm_layout) to make the legend wider and therefore the labels larger.
tmap_save(nhstaticcmap, filename = "nhdemprimary.jpg")
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Warning in sp::proj4string(obj): CRS object has comment, which is lost in output
## Map saved to C:\Users\Haley\Desktop\nhdemprimary.jpg
## Resolution: 1501.336 by 2937.385 pixels
## Size: 5.004452 by 9.791282 inches (300 dpi)
#Make sure leaflet packages are open to use
clintonPalette <- colorNumeric(palette = "Blues", domain=nhmap$ClintonPct)
#Make sure scales and raster packages
nhpopup <- paste0("County: ", nhmap$County,"Sanders",percent(nhmap$SandersPct), "- Clinton", percent(nhmap$ClintonPct))
nhmap_projected <- sp::spTransform(nhmap, "+proj=longlat +datum=WGS84")
leaflet(nhmap_projected) %>%
addProviderTiles("CartoDB.Positron") %>%
addPolygons(stroke=FALSE,
smoothFactor = 0.2,
fillOpacity = .8,
popup=nhpopup,
color= ~clintonPalette(nhmap$ClintonPct)
)
##South Carolina New data
scdata <- rio::import(scdatafile)
scgeo <- usgeo[usgeo@data$STATEFP=="45",]
qtm(scgeo)
## Add columns with percent of votes for each candidates in columns 2 - 7
candidates <- colnames(scdata[2:7])
for(i in 2:7){
j = i + 7
temp <- scdata[[i]] / scdata$Total
scdata[[j]] <- temp
colnames(scdata)[j] <- paste0(colnames(scdata)[i], "Pct")
}
winner <- colnames(scdata[2:7])
for(i in 1:nrow(scdata)){
scdata$winner[i] <- names(which.max(scdata[i,2:7]))
}
sced <- rio::import("SCdegree.xlsx")
str(scgeo$NAME)
## chr [1:46] "Edgefield" "Lee" "Horry" "Allendale" "Marion" "Dorchester" ...
str(scdata$County)
## chr [1:46] "Abbeville" "Aiken" "Allendale" "Anderson" "Bamberg" "Barnwell" ...
#Change the county names to plain characters in scgeo
scgeo$NAME <- as.character(scgeo$NAME)
#Order each data set by county name
scgeo <- scgeo[order(scgeo$NAME),]
scdata <- scdata[order(scdata$County),]
# Make sure the two columns are identical
identical(scgeo$NAME,scdata$County)
## [1] TRUE
scmap <- merge(scgeo,scdata, by.x = "NAME", by.y = "County")
#get min and max for top 3 combined
minpct <- min(c(scdata$`Donald J TrumpPct`,scdata$`Marco RubioPct`, scdata$`Ted CruzPct`))
maxpct <- max(c(scdata$`Donald J TrumpPct`, scdata$`Marco RubioPct`, scdata$`Ted CruzPct`))
trumpPalette <- colorNumeric(palette = "Purples", domain = c(minpct,maxpct))
rubioPalette <- colorNumeric(palette = "Reds", domain = c(minpct, maxpct))
cruzPalette <- colorNumeric(palette = "Oranges", domain = c(minpct,maxpct))
winnerPalette <- colorFactor(palette = c("#984ea3","#e41a1c"),domain = scmap$winner)
edPalette<- colorNumeric(palette = "Blues", domain = scmap$PctCollegeDegree)
scpopup <- paste0("<b>County: ", scmap$County, "<br />Winner: ", scmap$winner, "</b><br /><br />Trump: ", percent(scmap$`Donald J TrumpPct`), "<br />Rubio: ", percent(scmap$`Marco RubioPct`), "<br />Cruz: ", percent(scmap$`Ted CruzPct`), "<br /><br />Pct w college ed: ", sced$PctCollegeDegree, "% vs state-wide avg of 25%")
scmap <- sp::spTransform(scmap, "+proj=longlat +datum=WGS84")
leaflet(scmap) %>% addProviderTiles("CartoDB.Positron") %>% addPolygons(stroke = TRUE, weight = 1, smoothFactor = 0.2, fillOpacity = .75, popup = scpopup, color= ~winnerPalette(scmap$winner),
group="Winners" ) %>%
addLegend(position="bottomleft", colors=c("#984ea3", "#e41a1c"), labels=c("Trump", "Rubio"))
scGOPmap <-leaflet(scmap) %>%
addProviderTiles("CartoDB.Positron") %>%
addPolygons(stroke=TRUE,
weight=1,
smoothFactor = 0.2,
fillOpacity = .75,
popup=scpopup,
color= ~winnerPalette(scmap$winner),
group="Winners" ) %>%
addLegend(position="bottomleft", colors=c("#984ea3", "#e41a1c"), labels=c("Trump", "Rubio")) %>%
addPolygons(stroke=TRUE,
weight=1,
smoothFactor = 0.2,
fillOpacity = .75,
popup=scpopup,
color=~trumpPalette(scmap$`Donald J TrumpPct`),
group="Trump") %>%
addPolygons(stroke=TRUE,
weight=1,
smoothFactor = 0.2,
fillOpacity = .75,
popup=scpopup,
color= ~rubioPalette(scmap$`Marco RubioPct`),group="Rubio")%>%
addPolygons(stroke=TRUE,
weight=1,
smoothFactor = 0.2,
fillOpacity = .75,
popup=scpopup,
color= ~cruzPalette(scmap$`Ted CruzPct`),
group="Cruz") %>%
addPolygons(stroke=TRUE,
weight=1,
smoothFactor = 0.2,
fillOpacity = .75,
popup=scpopup,
color= ~edPalette(sced$PctCollegeDegree), #this data is in the sced table, not scmaps
group="College degs") %>%
addLayersControl(
baseGroups=c("Winners", "Trump", "Rubio", "Cruz", "College degs"),
position = "bottomleft",
options = layersControlOptions(collapsed = FALSE))
scGOPmap