Note: I have edited this answer to contain full details.
As @TimSalabim mentions this is under way in sf
, but until then you have to
go through the old sp
classes such as SpatialPolygons
. Use something like
as_Spatial
in sf
and then load maptools
and use as.owin
or
as(x, "owin")
on the Spatial
object.
Furthermore, you can only use coordinates in planar (projected) space with
spatstat
and not coordinates on the curved surface of the earth. You have
to project to a relevant planar coordinates system. Maybe <epsg.io/6345> is
usable in this case. To project to this coordinate system use
sf::st_transform(county_one, crs = 6345)
. Afterwards you convert to
Spatial
and then owin
. Note: Choosing the relevant projection is a
science, and I don’t know much about it, so do a bit of research if you want
to make sure you don’t get too distorted results.
Specifically with the original example you can do:
# Needed packages
library(spatstat)
#> Loading required package: spatstat.data
#> Loading required package: nlme
#> Loading required package: rpart
#>
#> spatstat 1.62-2 (nickname: 'Shape-shifting lizard')
#> For an introduction to spatstat, type 'beginner'
library(sf)
#> Linking to GEOS 3.8.0, GDAL 3.0.2, PROJ 6.2.1
library(maptools)
#> Loading required package: sp
#> Checking rgeos availability: TRUE
library(tigris)
#> To enable
#> caching of data, set `options(tigris_use_cache = TRUE)` in your R script or .Rprofile.
#>
#> Attaching package: 'tigris'
#> The following object is masked from 'package:graphics':
#>
#> plot
county <- county_subdivisions(state = "Alabama", county = "Lee", class = "sf", progress_bar = FALSE)
county_one <- st_union(county)
plot(county_one)
county_flat <- st_transform(county_one, crs = 6345)
plot(county_flat)
county_owin <- as.owin(as_Spatial(county_flat))
100 random points in the county:
p <- runifpoint(100, win = county_owin)
plot(p)
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