r:具有自定义图例和永久显示国名的等值线

Question

以下代码根据分层聚类(使用hclust()和cutree())创建一个Choropleth地图:

library(plotly)
library(cluster)

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

cluster.means = (as.data.frame(aggregate(df[,-1], list(cluster= df$member), mean)))[,-4]

g = list(
  scope = 'africa',
  showframe = T,
  showland = T,
  landcolor = toRGB("white")
)

plot_ly(df, z = member, type = 'choropleth', locations = Country,
              locationmode = 'country names', text = Country, hoverinfo = "text") %>% 
        layout(geo = g, title = "Energy markets in Africa")

现在我想改变两件事:

1. 永久显示国家/地区名称,即不仅仅是悬停在RStudio中的交互式图表上.我试图将这篇文章的答案应用于我的,但没有成功.
2. 不连续的规模.理想情况下,我希望所有BUT 5盒子都没有比例,每个簇子有以下三个特征:(1)盒子的颜色应该根据其在各个等级中的颜色(2)每个盒子应该包含数字分配给它的国家,即分配到各自的集群(3)每个框应该包含两个变量(X1,X2)的相应集群方式,它们包含在cluster.means

我附上了这样一个关于我的想法的示例性情节(它不必看起来完全相同 - 只是为了传达这个想法).

任何帮助,建议,tipp非常感谢!

(Scaled)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

"理想情况下,我希望根本没有比例":这是通过添加参数showscale=F来实现的plot_ly().

"国家名称的永久显示":这是通过添加完成scattergeo剧情层,如在这个帖子,有微小的差别.由于您的数据框包含一列国家/地区名称,但不包含国家/地区代码,因此您需要添加参数locationmode = 'country names'

p <- plot_ly(df, z = member, type = 'choropleth', 
             locations = Country, locationmode = 'country names', 
             text = Country, hoverinfo = "text", 
             showscale=F, inherit =F) %>% 
     layout(geo = g, title = "Energy markets in Africa") %>%
     add_trace(type="scattergeo",
             locationmode = 'country names', locations = Country, 
             text = Country, mode="text", 
             textfont = list(color=rgb(1,0.5,0.3),  size =12)) 

您将需要尝试各种颜色方案以找到有效显示聚类的颜色方案,同时使永久国家/地区名称标签可见.当地图缩小时,永久国家/地区名称标签将相互重叠的事实可能很少.通过额外的努力,您可以为每个标签指定一个lat-long位置,而不是依赖于它们的默认位置,这可以通过更好地分离标签来帮助改善地图的外观.不过,我认为,既然你要求使用永久性标签,那么你打算只在适当的变焦处使用地图,看起来没问题.

要添加您描述的文本框,可以使用注释布局(每个群集一个注释).我在这里展示如何添加一个带有紫色边框和一个第二个绿松石边框.您需要将其调整为最终使用的配色方案.

box1 <- list(
  x = 0.3,
  y = 0.5,
  yanchor = "top",
  borderpad = 2,
  bordercolor = rgb(0.5,0.1,0.5),     # set this same as color of cluster 1
  borderwidth = 5,
  text = paste("1. Cluster,  ", 
               sum(df$member==1),     # number of countries in cluster
               " Countries<br>X1 = ", # use <br> for line breaks
               format(round(cluster.means[1,]$X1, 2), nsmall = 2), 
               "<br>X2 = ", 
               format(round(cluster.means[1,]$X2, 2), nsmall = 2)),
  align = "left",
  showarrow = F)

box2 <- list(
  x = 0.3,
  y = 0.4,
  yanchor = "top",
  borderpad = 2,
  bordercolor = rgb(0.1,0.5,0.5),
  borderwidth = 5,
  text = paste("2. Cluster,  ", 
               sum(df$member==2), 
               " Countries<br>X1 = ", 
               format(round(cluster.means[2,]$X1, 2), nsmall = 2), 
               "<br>X2 = ", 
               format(round(cluster.means[2,]$X2, 2), nsmall = 2)),
  align = "left",
  showarrow = F)

p %>% layout(annotations = list(box1, box2))