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Description
- niche_vlaanderen version: > 1.1 (not implemented yet)
- Python version: 3
Niche Python Package
It would be useful to create a simplified version of the groundwater deviation maps combining the (interpreted) deviation for mean highest (mhw_x) and mean lowest groundwater levels (mlw_x) in a few descriptive categories for each vegetation type x.
For each vegetation type, there would be one extra raster then with all the (theoretically) possible combinations of the qualitative classification of the mean highest and lowest groundwater levels. The legend would be:
| mhw | mlw |
|---|---|
| suitable | suitable |
| suitable | too wet |
| suitable | too dry |
| too wet | suitable |
| too wet | too wet |
| too wet | too dry |
| too dry | suitable |
| too dry | too wet |
| too dry | too dry |
Suitable means within the range (min-max) provided in the NICHE reference table, and is reflected by a value 0 in the respective deviations maps. Too wet means a negative, and too dry a positive value in the respective deviation maps.
The resulting raster could probably be created and exported automatically along with the deviation maps (to avoid having to use another option). deviation=True would then create the 28*2 (quantitative) deviation maps + an extra set of 28 maps with the result of the (qualitative) combinations of the classified versions of these rasters for each vegetation type.
The (color) coding for the different combinations should be constant even if some categories are missing.