Hi everyone, I've run in to a problem that I hope to get some help with. I'm preparing a set of rasters to perform species distribution modelling. For one of my predictors, I have chosen to use r.walk in order to record how far away my occurrence records are to the nearest shoreline. Here's the catch though.. I will be generating my walk-distance rasters by using the GEBCO bathymetry data set. Here in lies the problem. Seeing as it is bathymetry, my raster will have negative values. My initial thought was simply to run the bathymetry raster through r.mapcalc in this way:
r.mapcalc "expression=prehist_dem = bathymetry + 866" In this example, "866" references the lowest depth recorded (i.e. -866m). Using the expression above, I have now removed any negative value in the raster so that min = 0. However, while doing this I have now also added "866" to every other cell in the raster, and not only will this be incorrect for places inland where a cell that originally was 5 m.a.s.l. now is 871m, but it will probably affect the cells close to the sea in the same way (which in most cases should probalby be close to, or slightly above, 0m). More importantly, if I would just stick to this approach, I can't help but imagine that it won't produce inaccurate results for r.walk further down the line as well. I can't help but think that there is some clever work-around to this using the mapcalculator, but I'm simply stuck and don't know how to proceed. Hope any of you can provide some advice! Best, Victor
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