R Under development (unstable) (2023-09-30 r85239 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. > options("rgdal_show_exportToProj4_warnings"="none") > library(sp) The legacy packages maptools, rgdal, and rgeos, underpinning the sp package, which was just loaded, were retired in October 2023. Please refer to R-spatial evolution reports for details, especially https://r-spatial.org/r/2023/05/15/evolution4.html. It may be desirable to make the sf package available; package maintainers should consider adding sf to Suggests:. > x = c(0.5, 1.5, 0.5, 1.5, 1.6) > y = c(1.5, 1.5, 0.5, 0.5, 0.5) > xy = cbind(x,y) > dimnames(xy)[[1]] = c("a", "b", "c", "d", "e") > pts = SpatialPoints(xy) > z = data.frame(z1 = 1:5, z2=5:1, f = c("a", "a", "b", "b", "b")) > row.names(z) = c("a", "b", "c", "d", "e") > ptsdf = SpatialPointsDataFrame(pts, z) > > xpol = c(0,1,1,0,0) > ypol = c(0,0,1,1,0) > pol = SpatialPolygons(list( + Polygons(list(Polygon(cbind(xpol-1,ypol))), ID="x9"), + Polygons(list(Polygon(cbind(xpol,ypol))), ID="x2"), + Polygons(list(Polygon(cbind(xpol,ypol-1))), ID="x3"), + Polygons(list(Polygon(cbind(xpol+1,ypol))), ID="x4") + )) > z = data.frame(z = c(10, 15, 25, 3), zz = 1:4, f = c("z", "q", "r", "z"), + row.names = c("x9", "x2", "x3", "x4")) > poldf = SpatialPolygonsDataFrame(pol, z) > plot(pol, xlim = c(-1.5, 2)) > points(pts, col='red') > > over(pts, pol) a b c d e NA NA 2 4 4 > over(pts, poldf) z zz f a NA NA b NA NA c 15 2 q d 3 4 z e 3 4 z > over(pts, poldf[1:2], fn = mean) z zz a NA NA b NA NA c 15 2 d 3 4 e 3 4 > > #rbind(poldf, over(pts, poldf[1:2], fn = mean)) > > over(pol, pts) x9 x2 x3 x4 NA 3 NA 4 > over(pol, ptsdf) z1 z2 f x9 NA NA x2 3 3 b x3 NA NA x4 4 2 b > over(pol, ptsdf[1:2], fn = mean) z1 z2 x9 NA NA x2 3.0 3.0 x3 NA NA x4 4.5 1.5 > > pts[pol] SpatialPoints: x y c 0.5 0.5 d 1.5 0.5 e 1.6 0.5 Coordinate Reference System (CRS) arguments: NA > > points(pts[pol], col='green', pch=16, cex=.8) > summary(pol[pts]) Object of class SpatialPolygons Coordinates: min max x 0 2 y 0 1 Is projected: NA proj4string : [NA] > plot(pol[pts], border='blue', add=TRUE) > > gt = GridTopology(c(.5,.5), c(1,1), c(3,2)) > sg = SpatialGrid(gt) > df6 = data.frame(z = 6:1, f = c("a", "a", "b", "b", "c", "c")) > sgdf = SpatialGridDataFrame(gt, df6) > over(sg, pol) 1 2 3 4 5 6 NA NA NA 2 4 NA > over(sg, poldf) z zz f 1 NA NA 2 NA NA 3 NA NA 4 15 2 q 5 3 4 z 6 NA NA > over(sg, poldf[1:2]) z zz 1 NA NA 2 NA NA 3 NA NA 4 15 2 5 3 4 6 NA NA > > spix = as(sg, "SpatialPixels") > spixdf = as(sgdf, "SpatialPixelsDataFrame") > over(spix, pol) 1 2 3 4 5 6 NA NA NA 2 4 NA > over(spix, poldf) z zz f 1 NA NA 2 NA NA 3 NA NA 4 15 2 q 5 3 4 z 6 NA NA > over(spix, poldf[1:2]) z zz 1 NA NA 2 NA NA 3 NA NA 4 15 2 5 3 4 6 NA NA > > over(pol, sg) x9 x2 x3 x4 NA 4 NA 5 > over(pol, sgdf) z f x9 NA x2 3 b x3 NA x4 2 c > over(pol, sgdf[1], fn = mean) z x9 NA x2 3 x3 NA x4 2 > > over(pol, spix) x9 x2 x3 x4 NA 4 NA 5 > over(pol, spixdf) z f x9 NA x2 3 b x3 NA x4 2 c > over(pol, spixdf[1], fn = mean) z x9 NA x2 3 x3 NA x4 2 > > over(pts, sg) a b c d e 1 2 4 5 5 > over(pts, spix) a b c d e 1 2 4 5 5 > over(pts, sgdf) z f a 6 a b 5 a c 3 b d 2 c e 2 c > over(pts, spixdf) z f a 6 a b 5 a c 3 b d 2 c e 2 c > > #over(pts, sg, returnList=TRUE) > #over(pts, spix, returnList=TRUE) > #over(pts, sgdf, returnList=TRUE) > #over(pts, spixdf, returnList=TRUE) > > proc.time() user system elapsed 0.70 0.15 0.85