I am doing some species distribution modeling with MODIS 250m data, and would like to downscale 30 arc-second (1km) bioclim data to 250m so that I can use them in my models.
My idea is this:
Rather than resampling the 1km data to 250m (e.g. bilinear interp), what if I were to:
- Convert the 250m grid to points
- Extract each of the bioclim values at each of the points
- Convert the points back into 250m grids.
The idea being that this is a more conservative approach than interpolation, since I wouldn't be making up new data values. Does this seem appropriate/viable, or would I be better off just resampling?
Follow up question: If I were to do this, would the resultant 250m bioclim grids still be considered continuous data? Or are they closer to discrete? The SDMs can handle either, but I need to specify for each variable.