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这与我之前的 SO 帖子有关。我正在尝试使用不规则间隔的数据绘制轮廓。我尝试了三种方法来覆盖地图（来自各种 SO 帖子）。它们都不适合我。我会很感激帮助。以下是我尝试的三种方法：方法1）

来自谷歌的地图

rwa <- get_map(location = c(lon = 29.75, lat = -2), zoom = 9, maptype = "toner", source = "stamen")
g1 <- ggmap(rwa)

这向我显示了 google url 和下面的行以及服务条款的链接 Google Maps API 服务条款

然后什么也没有发生；

方法二

remfname <- "http://biogeo.ucdavis.edu/data/diva/adm/RWA_adm.zip"
locfname <- "/tmp/RWAadm.gz"    
download.file(remfname, locfname)    
con <- gzcon(file(locfname, "rb"))    
myPoints <- readBin(con, numeric(), n=1e6, size = 4, endian = "little")    
close(con)
rwa <- fortify(myPoints)

这给了我以下错误：

 int [1:89709] 67324752 20 1446445064 1826437762 49564023 370147328 786432 1464991744 1684102977 1680748653 ...
Error: ggplot2 doesn't know how to deal with data of class integer.

用整数替换 numeric() 会引发类似的错误，而 real() 是未知的

方法三

tmpenv <- new.env()
load("C:/R_Progs/Scripts/RWA_adm0.RData", envir=tmpenv, verbose = TRUE)
rwa <- tmpenv$Data
rwa <- fortify(myPoints)

或者

rwa <- readOGR(dsn = "C:/R_Progs/Scripts", layer = "RWA_adm0")
rwa <- fortify(myPoints)

Error:
Error in readChar(con, 5L, useBytes = TRUE) : cannot open the connection
In addition: Warning message:
In readChar(con, 5L, useBytes = TRUE) :
  cannot open compressed file 'C:/R_Progs/rwanda/R.RData', probable reason 'No such file or directory'

Error in ogrInfo(dsn = dsn, layer = layer, encoding = encoding, use_iconv = use_iconv) : 
  Cannot open file

这些是我的绘图功能

    g1 + geom_tile(data = df, aes(x = Lon, y = Lat, z = Rain, fill = Rain), alpha = 0.8) + stat_contour(data = df, aes(x = Lon, y = Lat, z = Rain)) +
 ggtitle("Rwandan rainfall") + xlab("Longitude") + ylab("Latitude") + scale_fill_continuous(name = "Rain (mm)",
 low = "white", high = "blue") + theme_bw() + theme(plot.title = element_text(size = 25, face = "bold"),
 legend.title = element_text(size = 15), axis.text = element_text(size = 15), axis.title.x = element_text(size = 20, vjust = -0.5),
 axis.title.y = element_text(size = 20, vjust = 0.2),legend.text = element_text(size = 10)) + coord_map()

和

    ggplot() + 
 geom_polygon(data = rwa, aes(x = long, y = lat, group = group),
 colour = "black", size = 0.5, fill = "white") + stat_contour(data = df, aes(x = Lon, y = Lat, z = Rain)) +
 ggtitle("Rwandan rainfall") + xlab("Longitude") + ylab("Latitude") + scale_fill_continuous(name = "Rain (mm)",
 low = "white", high = "blue") + theme_bw() + theme(plot.title = element_text(size = 25, face = "bold"),
 legend.title = element_text(size = 15), axis.text = element_text(size = 15), axis.title.x = element_text(size = 20, vjust = -0.5),
 axis.title.y = element_text(size = 20, vjust = 0.2),legend.text = element_text(size = 10)) + coord_map()

这些是加载的库；

library(reshape2)
library(ggplot2)    
library(ggmap)    
library(rgdal)    
library(akima)    
library(directlabels)

和准备数据：

datr <- read.table("Apr0130precip.txt",header=TRUE,sep="")
datfr <- data.frame(datr)    
x <- datfr[,1]    
y <- datfr[,2]    
z <- datfr[,3]    
fld <- with(datfr, interp(x , y, z))    
df <- melt(fld$z, na.rm = TRUE)    
names(df) <- c("x", "y", "Rain")    
df$Lon <- fld$x[df$x]    
df$Lat <- fld$y[df$y]

这是数据：

    Lon Lat Rain

28.92   -2.47   83.4    
29.02   -2.68   144    
29.25   -1.67   134.7    
29.42   -2.07   174.9    
29.55   -1.58   151.5    
29.57   -2.48   224.1    
29.6    -1.5    254.3    
29.72   -2.18   173.9    
30.03   -1.95   154.8    
30.05   -1.6    152.2    
30.13   -1.97   126.2    
30.33   -1.3    98.5    
30.45   -1.81   145.5    
30.5    -2.15   151.3
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