在sf包中用多边形求r点

Question

我试图在sf中创建一个简单的多边形，并只选择该多边形中的点。我在这里做错了什么？

library(concaveman)
library(ggplot2)

foo.df <- data.frame("long"=c(136,137,137,136),"lat"=c(36,36,37,37))
foo.sf <- st_as_sf(foo.df, coords = c("long","lat"))
poly <- concaveman(foo.sf) ## in case points are out of order
point.df <- data.frame("long"=c(136.2,136.5,137.5),"lat"=c(36.5,36.5,36.5))
point.sf <- st_as_sf(point.df, coords = c("long","lat"))
good_points <- st_join(point.sf,poly,join=st_within)

st_join函数似乎对没有任何作用

ggplot() + 
geom_sf(data = poly) +
geom_sf(data= good_points)

问题不在于concaveman包

good_points <- st_join(point.sf,foo.sf,join=st_within)
ggplot() + 
geom_sf(data = poly) +
geom_sf(data= good_points)

这种创建多边形的尝试会引发错误

another_poly <- st_polygon(list(as.matrix(foo.df)))
good_points <- st_join(point.sf,another_poly,join=st_within)

我错过了什么？

Answer 1

我想您正在寻找st_filter。这样，您将只获得在多边形中找到的点。good points对象现在只包含两个点，而不是三个点(就像在OP中一样(。

good_points <- st_filter(point.sf, poly)
# Simple feature collection with 2 features and 0 fields
# Geometry type: POINT
# Dimension:     XY
# Bounding box:  xmin: 136.2 ymin: 36.5 xmax: 136.5 ymax: 36.5
# CRS:           NA
#            geometry
# 1 POINT (136.2 36.5)
# 2 POINT (136.5 36.5)