gpt4 book ai didi

r - 格子 levelplot 或 ggplot2 map R 的自定义图例

转载 作者:行者123 更新时间:2023-12-03 14:57:31 29 4
gpt4 key购买 nike

鉴于 code , mapsample data以下:
而不是绘制 watersheds 的名称 map 上的等,如何使用 ggplot2 生成单独的图例或 levelplot就像使用 ArcGIS? 一样基本上,我想制作这张 map 上显示的图例enter image description here最好用 levelplotggplot2 .
Codemap包括在 R 中以及用于绘图的样本数据.

require(colorRamps)
require(raster)
require(rasterVis)
require(mapproj)
library(raster)
library(proj4)


# Get province borders and project it to same CRS than raster
can1 <- getData('GADM', country="CAN", level=1)
getData('ISO3') # country name
dem=getData('alt', country='CAN', mask=TRUE)


require( colorRamps )
my.at <- unique(round(seq(ceiling(5800), floor(1), length.out = 51),0))#at: numeric vector specifying where the colors change. must be of length 1 more than the col vector.

myColorkey <- list(at=my.at,space = "bottom", tck = c(0,0),## where the colors change
labels=list(axis.line = list(col = NA),at=myat1,rot=0,cex=1.4,font=1,
fontface=1),height=0.99,width=1.8)

col<-colorRampPalette(c("#d9d9d9", "#bdbdbd", "#969696", "#737373", "#525252", "#252525", "#000000"))


levelplot(dem,maxpixel=ncell(dem),panel=panel.levelplot.raster,names.attr=names(dem),
interpolate=F,margin=FALSE,xlab=list(label="Longitude",cex=1.5),yscale.components = yscale.raster.subticks,
xscale.components = xscale.raster.subticks,
ylab=list(label="Latitude",cex=1.5),
par.strip.text=list(cex=1),xlim=c(-158, -48.99485),
ylim=c(38.00513, 85),col.regions=col,at = seq(0, 5800,100),
colorkey = list(space = "bottom", labels = list(at = seq(0, 5800,800), rot=0,cex=1.1,font=6,fontface=1,
labels =c("0", "800", "1600", "2400", "3200", "4000", "4800", "5600")),
height=0.99,width=1.8,tck = c(0,0)),
par.settings=list(panel.background=list(col="white"),axis.line=list(lwd=1.9), strip.border=list(lwd=1.9),layout.heights=list(xlab.key.padding=-0.2)),
cex=0.8, scales = list(x=list(draw=TRUE,cex=1.2), y=list(draw=TRUE,cex=1.2)))+
layer(sp.polygons(can1,lwd=0.5,col="gray40"))+
layer(sp.polygons(watershed,lwd=1,col=c("#a6cee3", "#1f78b4", "#b2df8a", "#33a02c", "#fb9a99", "#e31a1c", "#fdbf6f", "#ff7f00"),
fill=c("#a6cee3", "#1f78b4", "#b2df8a", "#33a02c", "#fb9a99", "#e31a1c", "#fdbf6f", "#ff7f00")))+
layer(sp.polygons(lake,lwd=1,col="cadetblue1",fill="cadetblue1"))+
layer(sp.lines(river,lwd=0.5,col="blue4"))+
layer(sp.text(coordinates(watershed), txt = watershed$NAMRB_EN, pos =c(1,1,3,3,1,4,1,1),col="black",font=list(face="bold"),cex=0.8))

Figure 1

最佳答案

您可以尝试将代码调整为 this example有一个关于流域和海拔的图例:

library(sp) 
library(raster)
library(rasterVis)

f <- system.file("external/test.grd", package="raster")
r <- raster(f)

data(meuse)
coordinates(meuse) = c("x", "y")
meuse$class <- cut(meuse$zinc, 3)

ptsCols <- c('black', 'red', 'blue')

lvp <- levelplot(r, margin = FALSE,
## Define the legend for the spplot graphic
key = list(space = 'top', text = list(levels(meuse$class)),
points = list(pch = 21, fill = ptsCols)),
## Legend for the Raster object
colorkey=list(space="right",width=0.75,height=0.75))

spp <- spplot(meuse["class"], col.regions = ptsCols)

lvp + spp

关于r - 格子 levelplot 或 ggplot2 map R 的自定义图例,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/48855557/

29 4 0
Copyright 2021 - 2024 cfsdn All Rights Reserved 蜀ICP备2022000587号
广告合作:1813099741@qq.com 6ren.com