如何在R的usmap包中叠加州边界与县热力地图?
如何在县级热力地图中让州边界更显眼
我需要在县级热力地图上清晰显示州边界,但现有代码的州边界不够突出,尝试了两段代码都没解决问题。
原始代码片段1
# 获取所有州的多边形数据 states_sf <- get_urbn_map(map = "states", sf = TRUE) # 筛选指定州的多边形数据 selected_states <- c("AL", "AR", "CT", "DC", "DE", "FL", "GA", "LA", "MA", "MD", "ME", "MS", "NC", "NH", "NJ", "NY", "PA", "RI", "SC", "TX", "VA", "VT", "WV") selected_states_sf <- states_sf[states_sf$ST %in% selected_states, ] # 假设Hurricane$total_wind是数值型变量 plot_usmap("counties", data = Hurricane, values = "total_wind", include = selected_states, color = "black" ) + ggplot2::scale_fill_continuous(low = "snow2", high = "red", guide = FALSE) + geom_sf(data = selected_states_sf, fill = NA, color = "black", size = 0.5) + # 调整州边界线宽 theme_minimal() + # 移除网格线 coord_sf(datum = NA, crs = st_crs(states_sf)) + # 显式设置坐标系 labs(fill = "Random Data") + scale_fill_gradient2(low='snow2', high='red') + theme_bw() + theme( # 隐藏面板边框和网格线 panel.border = element_blank() )
原始代码片段2
plot_usmap("counties", data = Hurricane, values = "total_wind", include = c("AL", "AR", "CT", "DC", "DE", "FL", "GA", "LA", "MA", "MD", "ME", "MS", "NC", "NH", "NJ", "NY", "PA", "RI", "SC", "TX", "VA", "VT", "WV") ) + ggplot2::scale_fill_continuous(low = "ghostwhite", high = "red", guide = FALSE)
问题分析
- 片段1的问题:
- 重复调用填充比例尺(
scale_fill_continuous和scale_fill_gradient2),后者会覆盖前者,造成冗余。 geom_sf叠加的州边界因坐标系不匹配(plot_usmap默认Albers投影,与get_urbn_map的CRS不一致)导致显示异常,且size=0.5的线宽仍不够突出。- 同时使用
theme_minimal()和theme_bw(),主题设置冲突,干扰边界显示。
- 重复调用填充比例尺(
- 片段2的问题:完全没有添加州边界绘制逻辑,自然看不到州边界。
解决方案
方案1:直接用plot_usmap内置参数设置州边界
plot_usmap支持直接绘制州边界,无需额外导入sf数据,坐标系自动匹配,操作更简洁:
selected_states <- c("AL", "AR", "CT", "DC", "DE", "FL", "GA", "LA", "MA", "MD", "ME", "MS", "NC", "NH", "NJ", "NY", "PA", "RI", "SC", "TX", "VA", "VT", "WV") # 先绘制县级热力图,再叠加州边界(确保州边界在最上层) plot_usmap(regions = "counties", data = Hurricane, values = "total_wind", include = selected_states, fill = "total_wind", color = "gray80" # 县级边界设为浅灰色,避免和州边界冲突 ) + # 叠加州边界,设置粗线宽和高对比色 plot_usmap(regions = "states", include = selected_states, fill = NA, color = "black", size = 1.2) + scale_fill_gradient2(low = "snow2", high = "red", guide = FALSE) + labs(fill = "总风速") + theme_bw() + theme( panel.border = element_blank(), axis.text = element_blank(), axis.title = element_blank() )
方案2:修复sf数据叠加的问题
如果坚持用sf数据叠加,需统一坐标系并调整绘制参数:
library(usmap) library(sf) library(ggplot2) # 获取州数据并转换为usmap默认的Albers投影 states_sf <- get_urbn_map(map = "states", sf = TRUE) %>% st_transform(crs = usmap_crs()) selected_states <- c("AL", "AR", "CT", "DC", "DE", "FL", "GA", "LA", "MA", "MD", "ME", "MS", "NC", "NH", "NJ", "NY", "PA", "RI", "SC", "TX", "VA", "VT", "WV") selected_states_sf <- states_sf[states_sf$ST %in% selected_states, ] plot_usmap("counties", data = Hurricane, values = "total_wind", include = selected_states, color = "gray80" ) + scale_fill_gradient2(low = "snow2", high = "red", guide = FALSE) + # 叠加州边界,设置粗线宽,关闭美学参数继承 geom_sf(data = selected_states_sf, fill = NA, color = "black", size = 1.2, inherit.aes = FALSE) + theme_bw() + theme( panel.border = element_blank(), axis.text = element_blank(), axis.title = element_blank() )
关键调整点:
- 把县级边界设为浅灰色,与黑色州边界形成对比,突出州边界层级。
- 州边界线宽调整为
1.2左右,确保视觉上足够显眼。 - 方案2中需统一坐标系,避免边界错位。
内容的提问来源于stack exchange,提问作者Anupam Ghosh
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