leaflet高级交互特性怎么用

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在制作高质量在线数据地图的项目中，leaflet结合扩展的HTML性能，可以呈现非常人性化的动态效果，如能结合css、shiny等装饰器和交互框架，几乎可以胜任常见的动态交互网站的制作。

library("sp")
library("leaflet")

options(stringsAsFactors = FALSE,check.names = FALSE)

锁定目录：

setwd("D:/R/mapdata/State")

导入美国地图素材（含数据）

states<-geojsonio::geojson_read("us-states.geojson", what = "sp")

一个简单的开始：（引用mapbox地图）

m <- leaflet(states) %>%
setView(-96, 37.8, 4) %>% #设置呈现的视觉中心
addProviderTiles("MapBox", options = providerTileOptions(
id = "mapbox.light", #添加地图图层
accessToken = Sys.getenv('MAPBOX_ACCESS_TOKEN')))
m %>% addPolygons() #地图呈现

leaflet高级交互特性怎么用

#分箱及设置色盘：

bins <- c(0, 10, 20, 50, 100, 200, 500, 1000, Inf)
pal <- colorBin("YlOrRd", domain = states$density, bins = bins)

m %>% addPolygons(
fillColor = ~pal(density), #显式声明颜色映射变量
weight = 2, #线宽
opacity = 1, #透明度
color = "white", #颜色
dashArray = "3",
fillOpacity = 0.7) #填充透明度

leaflet高级交互特性怎么用

m %>% addPolygons(
fillColor = ~pal(density),
weight = 2,
opacity = 1,
color = "white",
dashArray = "3",
fillOpacity = 0.7,
highlight = highlightOptions( #设置高亮属性
weight = 5,
color = "#666",
dashArray = "",
fillOpacity = 0.7,
bringToFront = TRUE))

#设置鼠标点击事件：

labels <- sprintf("%s
%g people / mi²",states$name,states$density) %>% lapply(htmltools::HTML) #转化为HTML格式标签

m <-m %>% addPolygons(
fillColor = ~pal(density),
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( #标签选项设置（参数类别HTML属性）
style=list("font-weight"="normal",padding="3px 8px"),
textsize="15px",
direction="auto")
);m

#增加图例：

m %>% addLegend(pal = pal, values = ~density, opacity = 0.7, title = NULL,
position = "bottomright")

leaflet高级交互特性怎么用

以下是该案例的完整代码：

# From http://leafletjs.com/examples/choropleth/us-states.js

（数据源，js格式记得保存为geojson格式）

bins <- c(0, 10, 20, 50, 100, 200, 500, 1000, Inf)
pal <- colorBin("YlOrRd", domain = states$density, bins = bins)

labels <- sprintf(
"%s
%g people / mi²",
states$name, states$density
) %>% lapply(htmltools::HTML)

leaflet(states) %>%
setView(-96, 37.8, 4) %>%
addProviderTiles("MapBox", options = providerTileOptions(
id = "mapbox.light",
accessToken = Sys.getenv('MAPBOX_ACCESS_TOKEN'))) %>%
addPolygons(
fillColor = ~pal(density),
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")) %>%
addLegend(pal = pal, values = ~density, opacity = 0.7, title = NULL,
position = "bottomright")

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leaflet高级交互特性怎么用

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