世界边界 geo.json 从这里下载。 https://github.com/johan/world.geo.json
我正在尝试突出显示 3 个国家(在世界地图 View 中)并根据该国家/地区的项目数量以渐变颜色绘制它们。
这是我的步骤:
首先下载世界边界geo.json文件并作为 basemap 读取;
然后我尝试在我的数据中突出显示国家多边形。然而事实证明,世界上所有的国家都被这三个国家的信息随机着色和标记。是地理数据框子集问题吗?
WorldCountry <-geojsonio::geojson_read("./GeoData/countries.geo.json", what = "sp")
#Dataframe for choropleth map
Country <- c("Bulgaria","Pakistan","Turkey")
Projects <- c(2,1,6)
data <- data.frame(Country,Projects)
#basemap
Map <- leaflet(WorldCountry) %>% addTiles() %>% addPolygons()
#set bin and color for choropleth map
bins <- c(0,1,2,3,4,5,6,7,8,9,10,Inf)
pal <- colorBin("YlOrRd", domain = data$Projects, bins = bins)
#set labels
labels <- sprintf(
"<strong>%s</strong><br/>%g projects <sup></sup>",
data$Country, data$Projects) %>% lapply(htmltools::HTML)
#add polygons,labels and mouse over effect
Map %>% addPolygons(
fillColor = ~pal(data$Projects),
weight = 2,
opacity = 1,
color = 'white',
dashArray = '3',
fillOpacity = 0.7,
highlight = highlightOptions(
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE),
label = labels,
labelOptions = labelOptions(
style = list("font-weight" = "normal", padding = "3px 8px"),
textsize = "15px",
direction = "auto")
)
我期待这样的事情:
最佳答案
这会成功的!使用以下方法对 WorldCountry 进行子集:
data_Map <- WorldCountry[WorldCountry$id %in% data$Country, ]
Map <- leaflet(data_Map) %>% addTiles() %>% addPolygons()
关于json - 如何使用传单 R 绘制基于国家/地区的等值线,我们在Stack Overflow上找到一个类似的问题: https://stackoverflow.com/questions/44525730/