[英]How to plot country-based choropleths using leaflet R
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/地区(在世界地图视图中)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,作为底图读取; 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是随机着色的,并被 3 个国家的信息标记。 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:
这将奏效! 子集 WorldCountry 使用:
data_Map <- WorldCountry[WorldCountry$id %in% data$Country, ]
Map <- leaflet(data_Map) %>% addTiles() %>% addPolygons()
子集将与 WorldCountry$name
data_Map <- WorldCountry[WorldCountry$name %in% data$Country, ]
Map <- leaflet(data_Map) %>% addTiles() %>% addPolygons(
fillColor = ~pal(data$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")
)
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