`sp::over()` 相当于 `terra`
`sp::over()` equivalent in `terra`
terra
包中是否有 sp::over()
的等价物?获取显示 SpatVector 的哪些几何形状覆盖另一个 SpatVector 的哪些几何形状的数据框 - 像这样,但仅使用 terra
:
# get a polygons map:
library(terra)
lux <- vect(system.file("ex/lux.shp", package="terra"))
plot(lux)
text(lux, lux$NAME_2)
# get points that overlay some of those polygons:
pts <- vect(cbind(c(5.8, 6, 6.2), c(49.85, 49.5, 49.6)), crs = crs(lux))
plot(pts, col = "blue", add = TRUE)
# find which points overlay which polygons:
library(sp); library(raster)
over(as(pts, "Spatial"), as(lux, "Spatial"))
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
# 1 1 Diekirch 3 Redange 259 18664
# 2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
# 3 3 Luxembourg 10 Luxembourg 237 182607
请使用 terra
库
在下方找到一种可能的解决方案
Reprex
- 代码
library(terra)
values(lux)[apply(terra::relate(lux, pts, "covers"), 2, function(x) which(x == TRUE)),]
- 输出
#> ID_1 NAME_1 ID_2 NAME_2 AREA POP
#> 3 1 Diekirch 3 Redange 259 18664
#> 10 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#> 11 3 Luxembourg 10 Luxembourg 237 182607
由 reprex package (v2.0.1)
创建于 2022-01-17
您的示例数据
library(terra)
lux <- vect(system.file("ex/lux.shp", package="terra"))
pts <- vect(cbind(c(5.8, 6, 6.2), c(49.85, 49.5, 49.6)), crs = crs(lux))
您可以使用 extract
(也在 raster
中)
extract(lux, pts)[,-1]
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
#1 1 Diekirch 3 Redange 259 18664
#2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#3 3 Luxembourg 10 Luxembourg 237 182607
或者你可以做(lovalery 解决方案的变体)
i <- relate(pts, lux, "within") |> apply(2, any)
lux[i,] |> data.frame()
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
#1 1 Diekirch 3 Redange 259 18664
#2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#3 3 Luxembourg 10 Luxembourg 237 182607
或者像这样
i <- is.related(lux, pts, "intersects")
lux[i,] |> data.frame()
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
#1 1 Diekirch 3 Redange 259 18664
#2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#3 3 Luxembourg 10 Luxembourg 237 182607
terra
包中是否有 sp::over()
的等价物?获取显示 SpatVector 的哪些几何形状覆盖另一个 SpatVector 的哪些几何形状的数据框 - 像这样,但仅使用 terra
:
# get a polygons map:
library(terra)
lux <- vect(system.file("ex/lux.shp", package="terra"))
plot(lux)
text(lux, lux$NAME_2)
# get points that overlay some of those polygons:
pts <- vect(cbind(c(5.8, 6, 6.2), c(49.85, 49.5, 49.6)), crs = crs(lux))
plot(pts, col = "blue", add = TRUE)
# find which points overlay which polygons:
library(sp); library(raster)
over(as(pts, "Spatial"), as(lux, "Spatial"))
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
# 1 1 Diekirch 3 Redange 259 18664
# 2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
# 3 3 Luxembourg 10 Luxembourg 237 182607
请使用 terra
库
Reprex
- 代码
library(terra)
values(lux)[apply(terra::relate(lux, pts, "covers"), 2, function(x) which(x == TRUE)),]
- 输出
#> ID_1 NAME_1 ID_2 NAME_2 AREA POP
#> 3 1 Diekirch 3 Redange 259 18664
#> 10 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#> 11 3 Luxembourg 10 Luxembourg 237 182607
由 reprex package (v2.0.1)
创建于 2022-01-17您的示例数据
library(terra)
lux <- vect(system.file("ex/lux.shp", package="terra"))
pts <- vect(cbind(c(5.8, 6, 6.2), c(49.85, 49.5, 49.6)), crs = crs(lux))
您可以使用 extract
(也在 raster
中)
extract(lux, pts)[,-1]
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
#1 1 Diekirch 3 Redange 259 18664
#2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#3 3 Luxembourg 10 Luxembourg 237 182607
或者你可以做(lovalery 解决方案的变体)
i <- relate(pts, lux, "within") |> apply(2, any)
lux[i,] |> data.frame()
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
#1 1 Diekirch 3 Redange 259 18664
#2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#3 3 Luxembourg 10 Luxembourg 237 182607
或者像这样
i <- is.related(lux, pts, "intersects")
lux[i,] |> data.frame()
# ID_1 NAME_1 ID_2 NAME_2 AREA POP
#1 1 Diekirch 3 Redange 259 18664
#2 3 Luxembourg 9 Esch-sur-Alzette 251 176820
#3 3 Luxembourg 10 Luxembourg 237 182607