Raster Downscale

Downscales a raster to a higher resolution raster using a robust regression

raster.downscale(
  x,
  y,
  p = NULL,
  n = NULL,
  filename = FALSE,
  scatter = FALSE,
  ...
)

Arguments

x	Raster class object representing independent variable(s)
y	Raster class object representing dependent variable
p	Percent sample size
n	Fixed sample size
filename	Name of output raster
scatter	(FALSE/TRUE) Optional scatter plot
...	Additional arguments passed to predict

Value

A list object containing:

• downscale downscaled raster (omitted if filename is defined)

• model rlm model object

• MSE Mean Square Error

• AIC Akaike information criterion

Author

Jeffrey S. Evans <jeffrey_evans@tnc.org>

Examples

if (FALSE) {
 library(raster)
 elev <- raster::getData('alt', country='SWZ', mask=TRUE)
 tmax <- raster::getData('worldclim', var='tmax', res=10, 
                         lon=8.25, lat=46.8)
 tmax <- crop(tmax[[1]], extent(elev))
 
 # Downscale temperature
 tmax.ds <- raster.downscale(elev, tmax, scatter=TRUE)
   opar <- par(no.readonly=TRUE)
     par(mfrow=c(2,2))
     plot(tmax, main="Temp max")
     plot(elev, main="elevation")
       plot(tmax.ds$downscale, main="Downscaled Temp max")
   par(opar)
}