View source: R/GridTopology-methods.R
as.SpatialPolygons.GridTopology | 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 |
|
proj4string |
object of class CRS-class |
obj |
|
hex |
|
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
library(lattice)
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(coordinates(SpP_grd), sapply(slot(SpP_grd, "polygons"), function(i) slot(i, "ID")), 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=sapply(slot(SpP_grd, "polygons"), function(i) slot(i, "ID")))
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)
## Not run:
spplot(aggregate(as(meuse.grid[,1:3], "SpatialPolygonsDataFrame"), xxpl,
areaWeighted=TRUE), main = "aggregated meuse.grid")
## End(Not run)
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