plotly 等值线图:显示国家名称

plotly choropleth map: display country names

考虑以下 R 代码以 plotly 方式生成等值线图:

#devtools::install_github("ropensci/plotly")
library(plotly)

df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')

# light grey boundaries
l <- list(color = toRGB("grey"), width = 0.5)

# specify map projection/options
g <- list(
  showframe = FALSE,
  showcoastlines = FALSE,
  projection = list(type = 'Mercator')
)

plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth',
        color = GDP..BILLIONS., colors = 'Blues', marker = list(line = l),
        colorbar = list(tickprefix = '$', title = 'GDP Billions US$'),
        filename="r-docs/world-choropleth") %>%
  layout(title = '2014 Global GDP<br>Source:<a href="https://www.cia.gov/library/publications/the-world-factbook/fields/2195.html">CIA World Factbook</a>',
         geo = g)

有没有内置选项可以在地图上显示国家名称?如果没有,什么是聪明的编码方式?

查看示例:https://plot.ly/r/choropleth-maps/

plotly 安装说明:https://plot.ly/r/getting-started/

您可以通过添加新的 scattergeo trace with mode 设置来显示国家/地区标签 "text" 以仅显示标签。

这是一个例子。我正在使用 dplyr 过滤掉最重要的 10 行。

df <- read.csv('https://raw.githubusercontent.com/plotly/datasets/master/2014_world_gdp_with_codes.csv')

# light grey boundaries
l <- list(color = toRGB("grey"), width = 0.5)

# specify map projection/options
g <- list(
  showframe = FALSE,
  showcoastlines = FALSE,
  projection = list(type = 'Mercator')
)

p <- (plot_ly(df, z = GDP..BILLIONS., text = COUNTRY, locations = CODE, type = 'choropleth',
        color = GDP..BILLIONS., colors = 'Blues', marker = list(line = l),
        colorbar = list(tickprefix = '$', title = 'GDP Billions US$'),
        inherit = FALSE, # don't pass arguments into the next trace
        filename="r-docs/choropleth-with-country-labels") %>%
  layout(title = '2014 Global GDP',
         geo = g) %>% 
  dplyr::arrange(dplyr::desc(GDP..BILLIONS.)))[seq(1, 10), ] %>%
  add_trace(type="scattergeo", # view all scattergeo properties here: https://plot.ly/r/reference/#scattergeo
            locations = CODE, text = COUNTRY, mode="text")

full screen, interactive version