expanse | R Documentation |
Compute the area covered by polygons or for all raster cells that are not NA
.
This method computes areas for longitude/latitude rasters, as the size of the cells is constant in degrees, but not in square meters. But it can also be important if the coordinate reference system is planar, but not equal-area.
For vector data, the best way to compute area is to use the longitude/latitude CRS. This is contrary to (erroneous, but popular) belief that you should use a planar coordinate reference system. Where applicable, the transformation to lon/lat is done automatically, if transform=TRUE
.
Note that it is important that polygon geometries are valid. If they are not valid, the computed area may be wrong. You can check for validity with is.valid
and fix some problems with makeValid
## S4 method for signature 'SpatRaster'
expanse(x, unit="m", transform=TRUE, byValue=FALSE,
zones=NULL, wide=FALSE, usenames=FALSE)
## S4 method for signature 'SpatVector'
expanse(x, unit="m", transform=TRUE)
x |
SpatRaster or SpatVector |
unit |
character. Output unit of area. One of "m", "km", or "ha" |
transform |
logical. If |
byValue |
logical. If |
zones |
NULL or SpatRaster with the same geometry identifying zones in |
wide |
logical. Should the results be in "wide" rather than "long" format? |
usenames |
logical. If |
SpatRaster: data.frame
with at least two columns ("layer" and "area") and possibly also "value" (if byValue
is TRUE
), and "zone" (if zones
is TRUE
). If x
has no values, the total area of all cells is returned. Otherwise, the area of all cells that are not NA
is returned.
SpatVector: numeric (one value for each (multi-) polygon geometry.
cellSize
for a the size of individual cells of a raster, that can be summed with global
or with zonal
to get the area for different zones.
### SpatRaster
r <- rast(nrows=18, ncols=36)
v <- 1:ncell(r)
v[200:400] <- NA
values(r) <- v
# summed area in km2
expanse(r, unit="km")
# all cells
expanse(rast(r), unit="km")
r <- rast(ncols=90, nrows=45, ymin=-80, ymax=80)
m <- project(r, "+proj=merc")
expanse(m, unit="km")
expanse(m, unit="km", transform=FALSE)
m2 <- c(m, m)
values(m2) <- cbind(c(1,2,NA,NA), c(11:14))
expanse(m2, unit="km", byValue=TRUE, wide=TRUE)
v <- vect(system.file("ex/lux.shp", package="terra"))
r <- rast(system.file("ex/elev.tif", package="terra"))
r <- round((r-50)/100)
levels(r) <- data.frame(id=1:5, name=c("forest", "water", "urban", "crops", "grass"))
expanse(r, byValue=TRUE)
g <- rasterize(v, r, "NAME_1")
expanse(r, byValue=TRUE, zones=g, wide=TRUE)
### SpatVector
v <- vect(system.file("ex/lux.shp", package="terra"))
a <- expanse(v)
a
sum(a)
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