与spplot相比,如何使用ggplot改进空间栅格地图？

Question

与spplot()图例相比,如何使用ggplot改进空间栅格地图的图例？

我想使用ggplot()而不是ssplot()绘制空间地图,但是与spplot相比,我想提高一些方面:

1. 创建一个ggplot图例,从小(底部)到大值(顶部)
2. 在ggplot图例中有与ssplot()图例类似的中断,以便我知道每种颜色的边界.

---

## load packages
require(raster)
require(ggplot2)
require(rgdal)
require(RColorBrewer)
set.seed(1)

r <- raster(xmn=-110, xmx=-90, ymn=40, ymx=60, ncols=40, nrows=40,
          crs="+proj=lcc +lat_1=48 +lat_2=33 +lon_0=-100
+ellps=WGS84")
r <- setValues(r,matrix(rnorm(1600, mean=0.4,sd=0.2))) 

## 1. spatial map with spplot
cuts <-seq(minValue(r),maxValue(r),length.out=8)
cuts = round(cuts,digits=2)
col.regions = brewer.pal(length(cuts)+3-1, "RdYlGn")
print( 
spplot(as(r, 'SpatialGridDataFrame'),at=cuts,
col.regions=col.regions,
colorkey=list(labels=list(at=cuts),at=cuts), pretty=TRUE,
scales=list(draw=T)
) 
)

## 2. spatial map with ggplot
p = rasterToPoints(r); df = data.frame(p)
colnames(df) = c("x", "y", "NDVI")

p  <- ggplot(data=df) + geom_tile(aes(x, y, fill=NDVI)) +
coord_equal() + labs(x=NULL, y=NULL) + 
scale_fill_gradient2(low="red", mid="yellow",high="green",
limits=c(minValue(r),maxValue(r)), midpoint = 0.4) + theme_bw() +
scale_x_continuous(expand=c(0,0)) + scale_y_continuous(expand=c(0,0))
print(p)

ssplot()结果

ggplot()结果

Answer 1

感谢@joran指向它的指针.

这是使用dev版本的示例代码和输出:

br <- seq(min(df$NDVI), max(df$NDVI), len=8)

ggplot(data=df) + 
  geom_tile(aes(x, y, fill=NDVI)) + 
  scale_fill_gradient(low="red", high="green", 
    breaks=br, labels=sprintf("%.02f", br), 
    guide=guide_colorbar(title=NULL, nbin=100, barheight=unit(0.75, "npc"), label.hjust=1)) + 
  scale_x_continuous(expand=c(0,0)) + 
  scale_y_continuous(expand=c(0,0))

你可以试试这个:

# from Hadley's instruction
install.packages("devtools")
library(devtools)
dev_mode() # to avoid interfering with your existing install
install_github("ggplot2", username="kohske", branch = "feature/new-guides-with-gtable")
library(ggplot2)

更新:

这是从头开始安装的说明:

install.packages(
  c('devtools', 'digest', 'memoise', 'plyr', 'reshape2', 'RColorBrewer', 'stringr', 'dichromat', 'munsell', 'plyr', 'colorspace'), 
  dep=TRUE)

library(devtools)
dev_mode()

install_github("scales")
install_github("ggplot2", username="kohske", branch = "feature/new-guides-with-gtable")