In R I have a stack (nsw.stack) which contains 6 variables. I have clipped the extent. However, When I look at the summary it appears that there is a lot of NA values (see below). I think this is slowing down the computing power when i do a raster prediction. (right?)
If so, how do I get rid of the NA.values from the rasters prior to using the predict code, or is there a way to ignore the NA values while predicting.
> summary(nsw.stack) riv lake ndvi temp prec dem Min. 0.000000e+00 0.000000e+00 -0.0960 -14 114 -4 1st Qu. 2.640341e-02 7.969768e-02 0.2328 29 162 134 Median 7.040909e-02 1.814401e-01 0.3288 49 219 226 3rd Qu. 1.814401e-01 3.925149e-01 0.4128 75 297 338 Max. 1.120824e+00 1.613323e+00 0.7176 115 406 1281 NA's 2.103107e+06 2.103674e+06 2103309.0000 2103188 2103188 2103188 Warning message: In .local(object, ...) : summary is an estimate based on a sample of 1e+05 cells (2.47% of all cells)