I am using the Bioclim dataset for a maxent project right now, but I want to add demographic predictors along with climatic ones. I have the 19 layer raster data from Bioclim and I'm hoping to use the
raster::addLayer function to add the demographic data (population density, etc). I'm having a hard time finding a dataset (I've found this one on gridded population density but I'm not sure how to use it) and if I did find one, I'm not sure how to integrate it into R (what I'm using now is a saved
.Rdata file which has it loaded in already). This type of project is completely foreign to me.
My concern with any dataset is mismatching spatial resolutions between the layers when using
maxent from the
dismo package. Is this valid? Here's what I have from the Bioclim:
class : RasterBrick dimensions : 900, 2160, 1944000, 19 (nrow, ncol, ncell, nlayers) resolution : 0.1666667, 0.1666667 (x, y) extent : -180, 180, -60, 90 (xmin, xmax, ymin, ymax) coord. ref. : +proj=longlat +ellps=WGS84 data source : in memory
It looks like the resolution is 10 arc-minutes, and I see other datasets that are more fine grain. Can I convert from the fine to this coarse? The other problem is the extent of this dataset, it's a little larger than others, can I pad other raster data with blank cells to fit the -60:90 extent?