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beautiful-thematic-maps: alternative code without using ggplot2
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## https://timogrossenbacher.ch/2016/12/beautiful-thematic-maps-with-ggplot2-only/ | |
library(raster) | |
library(sp) | |
library(rgdal) | |
library(viridisLite) | |
library(rasterVis) | |
## Read age data | |
data <- read.csv("input/avg_age_15.csv", stringsAsFactors = F) | |
## Read shapefile | |
gde_15 <- readOGR("input/geodata/gde-1-1-15.shp", layer = "gde-1-1-15") | |
## Join data with shapefile | |
mapData <- merge(gde_15, data, by.x = 'BFS_ID', by.y = 'bfs_id') | |
## Import the raster file | |
relief <- raster("input/geodata/02-relief-georef-clipped-resampled.tif") | |
## Number of classes for the age data | |
no_classes <- 6 | |
## Colors using the magma palette | |
pal <- rev( | |
magma(n = no_classes, | |
## Limit the first and last colors | |
begin = 0.1, | |
end = 0.8)) | |
## Compute breaks with quantiles | |
quantiles <- quantile(mapData$avg_age_15, | |
probs = seq(0, 1, | |
length.out = no_classes + 1)) | |
## Not needed here, but a better alternative to original code (a "for" | |
## loop) | |
## labels <- paste(signif(quantiles[-7], 4), | |
## signif(quantiles[-1], 4), | |
## sep = '-') | |
## Create a trellis object using sp::spplot to display the | |
## SpatialPolygons object. | |
psp <- spplot(mapData["avg_age_15"], | |
col.regions = pal, | |
## define the points where the colors change | |
at = quantiles, | |
## set the border color and width | |
col = 'lightgray', lwd = 0.2, | |
par.settings = list(axis.line=list(col="transparent")), | |
## adjust the legend | |
colorkey = | |
list(space = 'bottom', | |
height = 0.7, | |
labels = list( | |
at = quantiles, | |
labels = signif(quantiles, 3), | |
rot = 45) | |
) | |
) | |
## Create a trellis object to display the relief using | |
## rasterVis::levelplot | |
plevel <- levelplot(relief, | |
maxpixels = 2e6, | |
margin = FALSE, | |
par.settings = GrTheme) | |
## Ok, ready to go: overlay these trellis objects to display the | |
## result | |
psp + as.layer(plevel, under = TRUE) |
Author
oscarperpinan
commented
Dec 30, 2016
Very very admirable! Finally someone proving that using ggplot2 is not a must at all for high quality graphics in R. Thank you!
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