R Under development (unstable) (2023-12-13 r85679 ucrt) -- "Unsuffered Consequences" Copyright (C) 2023 The R Foundation for Statistical Computing Platform: x86_64-w64-mingw32/x64 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > suppressPackageStartupMessages(library(sf)) > d = data.frame(z = 1:100, x = runif(100), y = runif(100)) > n0 = st_as_sf(d, coords = c("x", "y"), crs = 4326) > n1 = st_transform(n0, 3857) > > # st_nearest_points > cp1 = st_nearest_points(n0[1:50,], n0[51:100,]) > cp2 = st_transform(st_nearest_points(n1[1:50,], n1[51:100,]), 4326) > length(cp1) [1] 2500 > all.equal(cp1, cp2) [1] TRUE > > # st_nearest_points, pairwise > cp1 = st_nearest_points(n0[1:50,], n0[51:100,], pairwise = TRUE) > cp2 = st_transform(st_nearest_points(n1[1:50,], n1[51:100,], pairwise = TRUE), 4326) > length(cp1) [1] 50 > all.equal(cp1, cp2) [1] TRUE > > if (compareVersion(sf_extSoftVersion()["GEOS"], "3.6.1") > -1) { + # st_nearest_feature + nf1 = st_nearest_feature(n0[1:50,], n0[51:100,]) + nf2 = st_nearest_feature(n1[1:50,], n1[51:100,]) + print(all.equal(nf1, nf2)) + } [1] TRUE > > set.seed(131) > n = 1000 > pts = st_as_sf(data.frame(x = runif(n), y = runif(n)), coords = c("x", "y"), crs = 4326) > # unit square in degrees: 111 x 111 km > > size = 15000 > w <- st_is_within_distance(pts[1,], pts, size)[[1]] > > bs = units::set_units(size / s2::s2_earth_radius_meters(), rad) > b1 = st_buffer(pts[1,], bs) > b2 = st_buffer(pts[1,], size) > all.equal(b1, b2) [1] TRUE > > #plot(pts) > #plot(pts[1,], add = TRUE, pch = 16, cex = 2, col = 'blue') > #plot(st_buffer(pts[1,], bs), add = TRUE) > #plot(pts[w,], add = TRUE, col = 'red') > > proc.time() user system elapsed 2.26 0.39 2.62