as.SpatialPolygons.GridTopology {sp} | R Documentation |
Converts grids of regular rectangles into a SpatialPolygons
object, which can be transformed to a different projection or datum with spTransform
in package rgdal
. The function is not suitable for high-resolution grids. The ordering of the grid cells is as in coordinates()
of the same object, and is reported by IDvaluesGridTopology
.
as.SpatialPolygons.GridTopology(grd, proj4string = CRS(as.character(NA))) IDvaluesGridTopology(obj) as.SpatialPolygons.SpatialPixels(obj) IDvaluesSpatialPixels(obj) HexPoints2SpatialPolygons(hex, dx)
grd |
GridTopology object |
proj4string |
object of class CRS-class |
obj |
SpatialPixels object |
hex |
SpatialPoints object with points that are generated by hexagonal sampling;
see spsample |
dx |
spacing of two horizontally adjacent points; if missing, this will be computed from the points |
as.SpatialPolygons.GridTopology
and as.SpatialPolygons.SpatialPixels
return a SpatialPolygons
object;
IDvaluesGridTopology
and IDvaluesSpatialPixels
return a character vector with the object grid indices.
GridTopology
, SpatialPixels
, SpatialPolygons
spTransform
in package rgdal
grd <- GridTopology(cellcentre.offset=c(-175,55), cellsize=c(10,10), cells.dim=c(4,4)) SpP_grd <- as.SpatialPolygons.GridTopology(grd) plot(SpP_grd) text(getSpPPolygonsLabptSlots(SpP_grd), getSpPPolygonsIDSlots(SpP_grd), cex=0.5) trdata <- data.frame(A=rep(c(1,2,3,4), 4), B=rep(c(1,2,3,4), each=4), row.names=getSpPPolygonsIDSlots(SpP_grd)) SpPDF <- SpatialPolygonsDataFrame(SpP_grd, trdata) spplot(SpPDF) data(meuse.grid) gridded(meuse.grid)=~x+y xx = spsample(meuse.grid, type="hexagonal", cellsize=200) xxpl = HexPoints2SpatialPolygons(xx) image(meuse.grid["dist"]) plot(xxpl, add = TRUE) points(xx, cex = .5) df = as.data.frame(meuse.grid)[overlay(meuse.grid, xx),] x = SpatialPolygonsDataFrame(xxpl, df, match.ID = FALSE) spplot(x["dist"])