以此为参考,我正在尝试绘制下四十八的地图并添加图层以可视化状态之间的流动。
library(ggplot2)
library(maps)
library(geosphere) # to inter-polate a given pair of (lat,long) on the globe
# load map data for the US
all_states <- map_data("state")
# plot state map
p <- ggplot() + geom_polygon( data=all_states,
aes(x=long, y=lat, group = group),
colour="white", fill="grey10" )
# sample origin - destination lat,long pairs
geo <- structure(list(orig_lat = c(36.17, 36.17, 36.17),
orig_lon = c(-119.7462, -119.7462, -119.7462), dest_lat = c(33.7712, 36.17, 39.0646),
dest_lon = c(-111.3877, -119.7462, -105.3272)), .Names = c("orig_lat",
"orig_lon", "dest_lat", "dest_lon"), row.names = c(NA, 3L), class = "data.frame")
#> geo
# orig_lat orig_lon dest_lat dest_lon
#1 36.17 -119.7462 33.7712 -111.3877
#2 36.17 -119.7462 36.1700 -119.7462
#3 36.17 -119.7462 39.0646 -105.3272
# list to hold a dataframe of interpolated points for each origin-destination pair
list_lines <- list()
# use the geosphere package's gcIntermediate function to generate 50 interpolated
# points for each origin-destination pair
for (i in 1:3) {
inter <- as.data.frame(gcIntermediate(c(geo[i,]$orig_lon, geo[i,]$orig_lat),
c(geo[i,]$dest_lon, geo[i,]$dest_lat),
n=50, addStartEnd=TRUE))
list_lines[i] <- list(inter)
p <- p + geom_line( data = list_lines[[i]], aes(x = lon, y = lat), color = '#FFFFFF')
}
p
这是我尝试打印情节时得到的
p
Error in eval(expr, envir, enclos) : object 'lon' not found
我试图调试它,发现这有效
p + geom_line( data = list_lines[[1]], aes(x = lon, y = lat), color = '#FFFFFF')
但是为第二个列表元素添加另一层会破坏它,但这是我对 R 和 ggplot 的有限知识所能得到的!