r：根据使用 cutree() 的层次聚类的 Choropleth 图

Question

我正在对 50 个不同的非洲国家/地区的两个参数（X1、X2）进行层次聚类。因此，我想确定非洲大陆内的 5 个不同的群体/集群。我正在使用以下代码：

hc <- hclust(dist(df), method = "complete")
member <- cutree(hc, 5)

现在，我想使用存储在 member 中的信息（即每个国家所属的集群 ID）来为非洲地图着色，以便每个集群都用另一种颜色表示。我知道有很多关于着色图的教程，比如this。但我想知道是否有针对层次聚类分析结果量身定制的特定地图着色方法？

有人做过吗？对于如何以最有效的方式实现这一目标的任何建议或提示，我很高兴！

（缩放）数据如下：

df <- structure(list(Country = structure(1:50, .Label = c("Angola", 
"Benin", "Botswana", "Burkina Faso", "Burundi", "Cabo Verde", 
"Cameroon", "Central African Republic", "Chad", "Comoros", "Congo", 
"Cote d'Ivoire", "Democratic Republic of Congo", "Djibouti", 
"Equatorial Guinea", "Eritrea", "Ethiopia", "Gabon", "Gambia", 
"Ghana", "Guinea", "Guinea-Bissau", "Kenya", "Lesotho", "Liberia", 
"Madagascar", "Malawi", "Mali", "Mauritania", "Mauritius", "Mozambique", 
"Namibia", "Niger", "Nigeria", "Reunion", "Rwanda", "Sao Tome and Principe", 
"Senegal", "Seychelles", "Sierra Leone", "Somalia", "South Africa", 
"South Sudan", "Sudan", "Swaziland", "Tanzania", "Togo", "Uganda", 
"Zambia", "Zimbabwe"), class = "factor"), X1 = c(-0.18, -1.03, 
0.6, 1.55, 0.22, 0.26, 0.76, 2.15, -1.43, 0.99, 1.79, -0.39, 
1.73, 1.57, 1.11, -0.09, -1.49, -0.46, -0.48, -1.22, -0.78, -1.46, 
-1.22, 0.35, 0.45, 1.29, -1.37, -0.61, 0.92, -1.3, 0.42, -1.18, 
1.4, -0.83, 0.06, -0.76, -0.19, -0.37, -0.63, 0.64, 0.93, 0.33, 
-0.76, -0.21, -0.59, -0.41, -0.74, 0.39, -1.1, 1.35), X2 = c(-0.22, 
-0.42, 0.72, -0.59, -1.27, 0.64, -1.35, -1.4, -0.35, -1.43, 1.07, 
-0.01, -0.51, 0.11, 1.14, -0.89, 0.77, 1.45, -1.67, -0.83, 0.71, 
0.92, 1.63, 1.68, 0.23, -0.18, 0.07, 0.8, -0.02, 0.82, -0.72, 
-0.41, -0.26, 0.02, -1.68, 1.67, 0.18, 0.98, 1.45, 0.31, -1.23, 
-1.38, -0.63, 1.41, -0.12, 0, -1.3, -1.64, 0.21, 1.52)), .Names = c("Country", 
"X1", "X2"), row.names = c(NA, -50L), class = "data.frame")

Answer 1

使用你的数据和情节：

library(plotly)


hc <- hclust(dist(df), method = "complete")
df$member <- cutree(hc, 5)


#Grabbing the Africa Geo from a plotly example
g <- list(
  scope = 'africa',
  showframe = F,
  showland = T,
  landcolor = toRGB("grey90")
)

plot_ly(df, z = member, type = 'choropleth', mode = 'markers', locations = Country,
    locationmode = 'country names') %>% layout(geo = g)

您可以使用此处找到的情节设置：https://plot.ly/r/reference/

切换到非连续比例，但碰巧连续比例仅适用于绘制 5。对于更多，您需要一个发散色标。