gridDistance | R Documentation |
The function calculates the distance to cells of a SpatRaster when the path has to go through the centers of the eight neighboring raster cells.
The default distance (when scale=1
, is meters if the coordinate reference system (CRS) of the SpatRaster is longitude/latitude (+proj=longlat
) and in the linear units of the CRS (typically meters) in other cases.
Distances are computed by summing local distances between cells, which are connected with their neighbors in 8 directions.
The shortest distance to the cells with the target
value is computed for all cells that are not NA
. Cells that are NA
cannot be traversed and are ignored, unless the target itself is NA
, in which case the distance to the nearest cell that is not NA
is computed for all cells that are NA
.
## S4 method for signature 'SpatRaster'
gridDist(x, target=0, scale=1, maxiter=50, filename="", ...)
x |
SpatRaster |
target |
numeric. value of the target cells (where to compute distance to) |
scale |
numeric. Scale factor. For longitude/latitude data 1 = "m" and 1000 = "km". For planar data that is also the case of the distance unit of the crs is "m" |
maxiter |
numeric. The maximum number of iterations. Increase this number if you get the warning that |
filename |
character. output filename (optional) |
... |
additional arguments as for |
SpatRaster
See distance
for "as the crow flies" distance, and costDist
for distance across a landscape with variable friction
# global lon/lat raster
r <- rast(ncol=10,nrow=10, vals=1)
r[48] <- 0
r[66:68] <- NA
d <- gridDist(r)
plot(d)
# planar
crs(r) <- "+proj=utm +zone=15 +ellps=GRS80 +datum=NAD83 +units=m +no_defs"
d <- gridDist(r)
plot(d)
# distance to cells that are not NA
rr <- classify(r, cbind(1, NA))
dd <- gridDist(rr, NA)
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