In R, I have several variables stored as rasters. These rasters were loaded from ascii files that describe the variables on a grid that has equal longitudinal and latitudinal resolution. Ultimately, I would like to apply a function that takes these numerous variables as arguments to produce a raster of results.
While each of my rasters are on a regular grid, these grids all have different resolutions. Consequently, I need to resample them onto a common grid before performing my calculations. My concern is with regards to projection, as I don't really understand the concept. Do these rasters have inherent projections? If not, do I need to project them? If so, do I need to account for the projection of each raster when resampling?
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While each of my rasters are on a regular grid, these grids all have different resolutions. Consequently, I need to resample them onto a common grid before performing my calculations. My concern is with regards to projection, as I don't really understand the concept. Do these rasters have inherent projections? If not, do I need to project them? If so, do I need to account for the projection of each raster when resampling?
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