如何用国家边界的百分比来用颜色填充地图。特定于shapefile中的每个边界级别。
library(sp)
library(raster)
# https://gadm.org/download_country_v3.html level-0
ger.shape <- readRDS("gadm36_DEU_0_sp.rds")
plot(ger.shape, col = 'lightgrey', border = 'darkgrey')
raster(extent(ger.shape))
# area can be calculated, so I could calc 0.30 percentage of it
area(ger.shape) / 1000 / 1000
# but how to draw it on the plot?
# how about level-1 to draw every district?
答案 0 :(得分:1)
这可能是一种非常低效的方法,但这是一个开始:
library(sf)
# increment in metres.
# Smaller numbers will give you a more accurate map, but will take longer to calculate
increment <- 10*1000
# load shapefile and convert to an equal-area projection so we can work in metres
gerShp <- st_read('gadm36_DEU_shp/gadm36_DEU_0.shp') # change this to the correct path
gerShp <- st_transform(gerShp, 3035)
# calculate total area and our 30% value
totalArea <- st_area(gerShp)
thirtyPC <- totalArea * 0.3
# Plot it
plot(gerShp, col = 'lightgrey', border = 'darkgrey', max.plot=1, reset=F)
# Find the bounding box of the feature
bbox <- st_bbox(gerShp)
thisArea <- totalArea - totalArea # zero with correct units
i <- 1
# While our subarea is less than 30%...
while (thisArea < thirtyPC) {
# Starting at bottom, create a bounding box that is smaller than full bounding box
thisBBox <- bbox
thisBBox['ymax'] <- thisBBox$ymin + (increment * i)
# Clip shp to this bounding box
thisSubarea <- st_crop(gerShp, y=thisBBox)
thisArea <- st_area(thisSubarea)
print(thisArea)
i <- i + 1
}
plot(thisSubarea, max.plot=1, add=T, col='red', border=NA)
actualPercentage <- thisArea / totalArea
actualPercentage = 0.3011579
答案 1 :(得分:0)
library(EBImage)
library(rgdal)
ger <- readOGR("gadm36_DEU_shp/gadm36_DEU_0.shp")
# https://stackoverflow.com/questions/16496210/rotate-a-matrix-in-r#comment-23680230
fillup.rotate = function(mat, rotations = 1) {
for(i in seq(1:rotations)) {
mat <- t(mat[nrow(mat):1,,drop=FALSE])
}
return(mat)
}
# shape file
# p 0-1 percentage
# bgcolor background fill color
# fillcolor percentage fill color
# rotations orientation
fillup <- function(shape, p = 0.5, bgcolor = "#FF0000", fillcolor = "#999999", bordercolor = "#000000", rotations = 3, width = 1000, height = 1000) {
png("shape.png", width = width, height = height)
par(mar=c(0,0,0,0))
plot(shape, col=bgcolor , bg = "transparent", border = bordercolor)
dev.off()
image <- readImage("shape.png")
shape.raster <- as.raster(image)
# rotations
# 1 top down
# 2 left to right
# 3 bottom up
# 4 rigth to left
# rotate
shape.raster <- fillup.rotate(shape.raster, rotations)
# find background color
idx <- which(shape.raster == bgcolor)
idx.rev <- rev(idx)
# calc percentage
pixel.summe <- length(idx)
pixel.p <- pixel.summe * p
idx.p <- idx.rev[seq(from = 1, to = pixel.p)]
shape.raster[idx.p] <- fillcolor
rest <- 4 - (rotations %% 4)
# rotate back
shape.raster <- fillup.rotate(shape.raster, rest)
return(shape.raster)
}
ger.w <- 1000
ger.h <- 1000
colors <- c("#AAAAAA", "#333333")
ger.raster <- fillup(ger
, p = 0.3
, bgcolor = "#AAAAAA"
, fillcolor = "#333333"
, bordercolor = "#000000"
, rotations = 3
, width= ger.w
, height = ger.h)
plot(ger.raster)