Question

我有一个包含县级信息的数据集，其中美国的每个县都有2个关联的列：urban_rural_type包含县的数字分类，urban_rural_type_desc包含数字类别的描述在前一个变量中。

我目前已成功使用以下代码将其添加到地图中：

pal <- colorFactor("viridis", domain = healthMapData()@data$urban_rural_type, reverse = T)

leafletProxy("map", data = healthMapData()) %>%
clearMarkers() %>%
clearMarkerClusters() %>%
clearShapes() %>%
addPolygons(
  stroke = TRUE,
  color = "white",
  highlight = highlightOptions(
    weight = 2,
    fillOpacity = 0.6,
    color = "#666",
    opacity = 0.8,
    bringToFront = TRUE,
    sendToBack = TRUE),
  opacity = 1,
  weight = 0.5,
  smoothFactor = 0.2,
  fillOpacity = 0.8,
  fillColor = pal(healthMapData()@data$urban_rural_type),
  label = lapply(countyInfo, HTML)) %>%
clearControls() %>%
addLegend(
  "bottomleft",
  pal = pal,
  na.label = "Data unavailable",
  values = healthMapData()@data$urban_rural_type,
  labFormat = function(type, cuts, p) {
    cuts[1] = "Large - in a metro area with at least 1 million residents or more"
    cuts[2] = "Small - in a metro area with fewer than 1 million residents"
    cuts[3] = "Micropolitan adjacent to a large metro area"
    cuts[4] = 'Noncore adjacent to a large metro area'
    cuts[5] = 'Micropolitan adjacent to a small metro area'
    cuts[6] = 'Noncore adjacent to a small metro and contains a town of at least 2,500 residents'
    cuts[7] = 'Noncore adjacent to small metro area and does not contain a town of at least 2,500 residents'
    cuts[8] = 'Micropolitan area not adjacent to a metro area'
    cuts[9] = 'Noncore adjacent to micro area and contains a town of at least 2,500 residents'
    cuts[10] = 'Noncore adjacent to micro area and does not contain a town of at least 2,500 residents'
    cuts[11] = 'Noncore not adjacent to metro or micro area and contains a town of at least 2,500 residents'
    cuts[12] = 'Noncore not adjacent to metro or micro area and does not contain a town of at least 2,500 residents'
    paste0(cuts)},
  title = "Level of urban- or rural-ness",
  layerId = "countyLegend")

这段代码的labFormat展示了图例的样子，其中viridis的紫色是图例中最上面的颜色，对应于{{1 }}，并被分配了“大型-至少有100万居民的都市圈”标签。

我也看到了有关如何反转图例的示例代码：

urban_rural_type

但是我正在努力查看如何将两个功能合并到一个labFormat = labelFormat(transform = function(x) sort(x, decreasing = TRUE)中。

理想情况下，我的最终结果将是一个传说，该传说源于黄色->紫色（顶部->底部），标签上贴有“非核心区域，不与市区或微小区域相邻，并且不包含至少有2500名居民的城镇” ->“大-至少有一百万居民或以上的都会区。”

如何在手动定义标签的同时反转addLegend（）的顺序？

0 个答案: