focalReg.Rd
Calculate values for a moving-window by comparing the value in one layers with the values in one to many other layers. A typical case is the computation of the coefficients for a focal linear regression model.
# S4 method for SpatRaster
focalReg(x, w=3, fun="ols", ..., fillvalue=NA, filename="", overwrite=FALSE, wopt=list())
SpatRaster with at least two layers. The first is the "Y" (dependent) variable and the remainder are the "X" (independent) variables
numeric or matrix to define the focal window. The window an be defined as one (for a square) or two numbers (row, col); or with an odd-sized weights matrix. See the Details section in focal
. Note that if a matrix with numbers other than zero or one are used, the values are used as weights. For this to work, fun
must have an argument weights
a function with at least two arguments (one for each layer). There is a built-in function "ols" for both the weighted and unweighted Ordinary Least Square regression. This function has an additionals argument na.rm=FALSE
and intercept=TRUE
additional arguments for fun
numeric. The value of the cells in the virtual rows and columns outside of the raster
character. Output filename
logical. If TRUE
, filename
is overwritten
additional arguments for writing files as in writeRaster
SpatRaster