README: Leaflet Map Layers for Chinese Administrative Regions

Overview

This package provides functions to add choropleth map layers for Chinese cities and provinces to a Leaflet map object. These layers can be customized with various options such as color scales, labels, and popups.

Installation

devtools::install_github('Damonsoul/leafletZH')

Usage

Adding a City Layer

To add a choropleth map layer for cities, use the addcityShape function. You will need a data frame containing the data to be visualized, including the Chinese administrative division codes (adcode).

library(leaflet) library(leaflet.extras) library(leafletZH) library(dplyr)  data <- data.frame(adcode = seq(110101, 110110, 1), value = runif(5)) leaflet() %>%   leafletZH::addTilesAmap() %>%   addcityShape(
  data = data,
  adcode = "adcode",
  valueProperty = "value",
  popupProps = c("value")
) %>%   setView(lng = 116, lat = 40, zoom = 8)

Adding a Province Layer

To add a choropleth map layer for provinces, use the addProvinceShape function. Similar to the city layer, you will need a data frame containing the data to be visualized.

library(leaflet) library(leaflet.extras) library(leafletZH) library(dplyr)  data <- data.frame(name = c("河北省", "山西", "陕西"), value = runif(3)) leaflet() %>%   leafletZH::addTilesAmap() %>%   addProvinceShape(
  data = data,
  provinceName = "name",
  valueProperty = "value",
  popupProps = c("value")
) %>%   setView(lng = 110, lat = 40, zoom = 4)

Data Sources

The province and city data are sourced from Aliyun DataV Atlas.

License

This package is released under the MIT license. Please see the LICENSE file for more details.

Contributing

Contributions are welcome! Please submit a pull request or open an issue on the GitHub repository.

Authors

This package was created by Damonsoul.

README：中国行政区划的Leaflet地图图层

概述

该包提供了将中国城市和省份的 choropleth 地图图层添加到 Leaflet 地图对象的函数。这些图层可以通过各种选项进行自定义，例如颜色比例尺、标签和弹出窗口。

安装

从GitHub进行安装

devtools::install_github('Damonsoul/leafletZH')

使用方法

添加城市图层

使用 addcityShape 函数添加城市 形状 地图图层。需要一个包含要可视化数据的数据框，包括中国的行政区划代码（adcode）。

library(leaflet) library(leaflet.extras) library(leafletZH) library(dplyr)  data <- data.frame(adcode = seq(110101, 110110, 1), value = runif(5)) leaflet() %>%   leafletZH::addTilesAmap() %>%   addcityShape(
  data = data,
  adcode = "adcode",
  valueProperty = "value",
  popupProps = c("value")
) %>%   setView(lng = 116, lat = 40, zoom = 8)

添加省份图层

使用 addProvinceShape 函数要添加省份 形状 地图图层与城市图层类似，您需要一个包含要可视化数据的数据框,需要包括中国的行政区划代码（adcode）或省份名称。 省份名称使用前两个字进行匹配。

library(leaflet)
library(leaflet.extras)
library(leafletZH)
library(dplyr)
data <- data.frame(name = c("河北省", "山西", "陕西"), value = runif(3))
leaflet() %>%
  leafletZH::addTilesAmap() %>%   addProvinceShape(
    data = data,
    provinceName = "name",
    valueProperty = "value",
    popupProps = c("value")
  ) %>%   setView(lng = 110, lat = 40, zoom = 4)

数据来源

省份和城市数据来源于 阿里云 DataV Atlas。

许可证

该包在 MIT 许可证下发布。更多细节请参阅 LICENSE 文件。

贡献

欢迎贡献！请在 GitHub 仓库提交拉取请求或开一个问题。