stackRasterList: Converts a list of rasters, possibly with different...

In geostatsp: Geostatistical Modelling with Likelihood and Bayes

Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack.

Description

This function is intended to be used prior to passing covariates to krigeLgm in order for the rasters for all covariates to have the same projection and same resolution.

Usage

stackRasterList(x, template = x[[1]], method = "near", mc.cores=NULL)
spdfToBrick(x, 
    template,
    logSumExpected=FALSE,
    pattern = '^expected_[[:digit:]]+$'
)

Arguments

x	A list of SpatRaster or SpatVectors for stackRasterList and spdfToBrick respectively
template	A raster whose projection and resolution all other rasters will be aligned with.
method	The method to use, either "near", or "bilinear". Can be a vector of the same length as x to specify different methods for each raster. If method has names which correspond to the names of x, the names will be used instead of the order to assign methods to rasters.
mc.cores	If non-null, mclapply is used with this argument specifying the number of cores.
logSumExpected	return the log of the sum of offsets
pattern	expression to identify layers to rasterize in x

Value

A raster brick, with one layer for each variable.

Examples

myCrs = crs("+proj=utm +zone=17 +ellps=GRS80 +units=m +no_defs")
x = list(a=rast(matrix(1:9, 3, 3), extent=ext(0,1,0,1), 
       crs=myCrs),
	b=rast(matrix(1:25, 5, 5), extent=ext(-1, 2, -1, 2),
	   crs=myCrs)
	)
mystack = stackRasterList(x)
mystack



mylist = list(
	a=rast(matrix(1:36, 6, 6,byrow=TRUE), extent=ext(0,1000,0,1000), 
       crs=myCrs),
	b=rast(matrix(1:144, 12, 12), extent=ext(-200, 200, -200, 200),
	   crs=myCrs),
	c=rast(matrix(1:100, 10, 10), extent=ext(-5000,5000,-5000,5000), 
       crs=myCrs)
	)
	
	mystack = stackRasterList(mylist, mc.cores=1)
	mystack

plot(mystack[["b"]], main="stack b")
plot(mystack[['a']],add=TRUE,col=grey(seq(0,1,len=12)),alpha=0.8,legend=FALSE)

geostatsp documentation built on May 29, 2024, 5:53 a.m.