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在 R 中围绕坐标绘制多边形

[英]Draw polygons around coordinates in R

I have clusters of points from different datasets collected in different geographical regions.我有来自不同地理区域收集的不同数据集的点集群。 I'd like to plot the spatial extent of each region on a map, for which I need a single polygon per region.我想在地图上绘制每个区域的空间范围,为此我需要每个区域一个多边形。 I can find commands to convert points to polygons by "connecting the dots", but none by drawing an outline (the geometric method isn't terribly important since this is just for plotting).我可以通过“连接点”找到将点转换为多边形的命令,但没有通过绘制轮廓(几何方法不是非常重要,因为这仅用于绘图)。 Here's a reprex to generate a simplified dataframe like the one I'm using, for points in Norway, Alaska, and the continental US:这是一个 reprex,用于生成像我正在使用的那样的简化数据框,用于挪威、阿拉斯加和美国大陆的点:

nor_lat <- c(72.117, 71.05, 71.717, 71.167, 71.817, 72.333, 71.25, 70.917, 
  70.85, 70.933)
nor_lon <- c(33.217, 30.333, 26.3, 22.333, 22.333, 22.333, 18.517, 20.133, 
             21.333, 19.917)
us_lat <- c(41.283333, 41, 40.95, 40.95, 38.683333, 40.783333, 40.733333, 
            40.516667, 38.566667, 41.266667)
us_lon <- c(-71.116667, -70.733333, -70.583333, -70.483333, -74.816667, 
            -70.5, -70.566667, -70.266667, -74.85, -71.366667)
ak_lat <- c(58.015, 57.67167, 57.33833, 56.685, 56.99333, 57.31667, 57.65, 
            57.99667, 58.32167, 58.33333)
ak_lon <- c(-158.31667, -158.36, -158.41, -159.76, -159.72333, -159.66333, 
            -159.64167, -159.605, -159.54, -160.72167)
nor_dat <- data.frame(lat=nor_lat, lon=nor_lon)
us_dat <- data.frame(lat=us_lat, lon=us_lon)
ak_dat <- data.frame(lat=ak_lat, lon=ak_lon)
nor_dat$region <- "nor"
us_dat$region <- "us"
ak_dat$region <- "ak"
dat <- rbind(nor_dat, us_dat, ak_dat)

For the object dat , I'd like to generate a simple polygon around the points in each region , using sf if possible.对于对象dat ,我想在每个region的点周围生成一个简单的多边形,如果可能的话使用 sf 。 (I'm not too worried about figuring out how to iterate over the regions, but I can't even figure out how to draw a polygon around one set of points!) (我不太担心弄清楚如何迭代区域,但我什至不知道如何围绕一组点绘制多边形!)

library(sf)
library(dplyr)

hulls <- dat %>%
  st_as_sf(coords = c("lon", "lat")) %>%
  group_by(region) %>%
  summarize(geometry = st_union(geometry)) %>%
  st_convex_hull()
plot(hulls)

在此处输入图片说明

One approach using sf for "geocomputation", tmap and tmaptools for visualization.一种使用sf进行“地理计算”、 tmaptmaptools进行可视化的方法。

Please find the following reprex.请找到以下reprex。

Reprex正品

library(sf)
library(tmap)
library(tmaptools)

sf_use_s2(TRUE)
  • Convert nor_dat , us_dat , ak_dat and dat into sf objectnor_datus_datak_datdat转换为sf对象
nor_sf <- st_as_sf(nor_dat, coords = c("lon", "lat"), crs = 4326)
us_sf <- st_as_sf(us_dat, coords = c("lon", "lat"), crs = 4326)
ak_sf <- st_as_sf(ak_dat, coords = c("lon", "lat"), crs = 4326)
dat_sf <- st_as_sf(dat, coords = c("lon", "lat"), crs = 4326)
  • Compute a smoothed enveloping polygon for each set of points in each area为每个区域中的每组点计算平滑的包络多边形
conv_nor <- st_simplify(st_buffer(st_convex_hull(st_union(st_geometry(nor_sf))), dist = 15000), dTolerance = 5000)
conv_us <- st_simplify(st_buffer(st_convex_hull(st_union(st_geometry(us_sf))), dist = 15000), dTolerance = 5000)
conv_ak <- st_simplify(st_buffer(st_convex_hull(st_union(st_geometry(ak_sf))), dist = 15000), dTolerance = 5000)
  • Visualization: Overview可视化:概述
tm_shape(dat_sf)+
  tm_dots(size = 0.2, col = "black", shape = 21, alpha = 0.3)+
  tm_shape(conv_nor)+
  tm_borders(col = "gray", lwd = 2)+
  tm_shape(conv_us)+
  tm_borders(col = "blue", lwd = 2)+
  tm_shape(conv_ak)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE)

  • Visualization: detailed views可视化:详细视图
tm_shape(nor_sf, bbox = bb(conv_nor, ext = 1))+
  tm_dots(size = 0.5, alpha = 0.5)+
  tm_shape(conv_nor)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE, title = "'nor' area", 
            title.size = 1.5, title.position = c(0.85, "bottom"))

tm_shape(us_sf, bbox = bb(conv_us, ext = 1))+
  tm_dots(size = 0.5, alpha = 0.5)+
  tm_shape(conv_us)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE, title = "'us' area", 
            title.size = 1.5, title.position = c(0., "top"))

tm_shape(ak_sf, bbox = bb(conv_ak, ext = 1))+
  tm_dots(size = 0.5, alpha = 0.5)+
  tm_shape(conv_ak)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE, title = "'ak' area", 
            title.size = 1.5, title.position = c(0.75, "top"))

  • And finally, if you want some contextual background, you can use the tmap_mode("view") which call leaflet - apparently you work on the marine environment ;-)最后,如果你想要一些上下文背景,你可以使用调用leaflettmap_mode("view") - 显然你在海洋环境工作;-)
tmap_mode("view")
#> tmap mode set to interactive viewing
tm_shape(nor_sf, bbox = bb(conv_nor, ext = 1))+
  tm_dots(size = 0.5, alpha = 0.5)+
  tm_shape(conv_nor)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE, title = "'nor' area", 
            title.size = 1.5, title.position = c(0.85, "bottom"))

tm_shape(us_sf, bbox = bb(conv_us, ext = 1))+
  tm_dots(size = 0.5, alpha = 0.5)+
  tm_shape(conv_us)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE, title = "'us' area", 
            title.size = 1.5, title.position = c(0., "top"))

tm_shape(ak_sf, bbox = bb(conv_ak, ext = 1))+
  tm_dots(size = 0.5, alpha = 0.5)+
  tm_shape(conv_ak)+
  tm_borders(col = "gray", lwd = 2)+
  tm_layout(frame = FALSE, title = "'ak' area", 
            title.size = 1.5, title.position = c(0.75, "top"))

tmap_mode("plot")
#> tmap mode set to plotting

Created on 2021-10-20 by the reprex package (v2.0.1)reprex 包(v2.0.1) 于 2021 年 10 月 20 日创建

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