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R version 4.2.2 Patched (2022-11-10 r83330) -- "Innocent and Trusting"
Copyright (C) 2022 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

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> options("rgdal_show_exportToProj4_warnings"="none")
> library(sp)
> if (require(rgeos, quietly = TRUE)) {
+ g = SpatialGrid(GridTopology(c(5,5), c(10,10), c(3,3)))
+ p = as(g, "SpatialPolygons")
+ p$z = c(1,0,1,0,1,0,1,0,1)
+ cc = coordinates(g)
+ #p$ag1 = aggregate(p, p, mean)[[1]]
+ #p$ag1a = aggregate(p, p, mean, minDimension = 0)[[1]]
+ #p$ag2 = aggregate(p, p, mean, minDimension = 1)[[1]]
+ #p$ag3 = aggregate(p, p, mean, minDimension = 2)[[1]]
+ #p$ag4 = aggregate(p, p, mean, areaWeighted=TRUE)[[1]]
+ pts = cbind(c(9,21,21,9,9),c(9,9,21,21,9))
+ sq = SpatialPolygons(list(Polygons(list(Polygon(pts)), "ID")))
+ rnd2 = function(x) round(x, 2)
+ #l = list(
+ #     list("sp.text", cc, rnd2(p$z), which = 1),
+ #     list("sp.text", cc, rnd2(p$ag1), which = 2),
+ #     list("sp.text", cc, rnd2(p$ag1a), which = 3),
+ #     list("sp.text", cc, rnd2(p$ag2), which = 4),
+ #     list("sp.text", cc, rnd2(p$ag3), which = 5),
+ #     list("sp.text", cc, rnd2(p$ag4), which = 6),
+ #     list(sq, col = 'green', which = 6, first = FALSE, lwd = 2)
+ #)
+ #spplot(p, names.attr = c("source", "default aggregate", "minDimension=0", 
+ #     "minDimension=1", "minDimension=2", "areaWeighted=TRUE"), layout = c(3,2), 
+ #     as.table=TRUE, col.regions=bpy.colors(151)[50:151], cuts=100, 
+ #     sp.layout = l, scales = list(draw = TRUE))
+ 
+ #rnd2(c(aggregate(p, sq, mean)[[1]],
+ #  aggregate(p, sq, mean, minDimension = 0)[[1]],
+ #  aggregate(p, sq, mean, minDimension = 1)[[1]],
+ #  aggregate(p, sq, mean, minDimension = 2)[[1]],
+ #  aggregate(p, sq, mean, areaWeighted=TRUE)[[1]]))
+ }
rgeos version: 0.6-1, (SVN revision 692)
 GEOS runtime version: 3.11.1-CAPI-1.17.1 
 Please note that rgeos will be retired during 2023,
plan transition to sf functions using GEOS at your earliest convenience.
 GEOS using OverlayNG
 Linking to sp version: 1.5-1 
 Polygon checking: TRUE 

> 
> proc.time()
   user  system elapsed 
  0.569   0.755   0.428 

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