DM_wall-to-wall

Aggregating individual DMs into a wall-to-wall map.

there are five main parts to the code (01-05) where we

• first mask out redundant areas,
• then we assemble the maps using three methods
• we rasterize reference data and mask out evaluation areas
• we compute confusion matrices for the evaluation
• and last we evaluate using proportional dissimilarity (bray-curtis)

accompanying csv files (transl*.csv) contain the reclassification key for harmonizing the reference data used in step 3 (rasterize)

Excel files contain results in raw form, later imported into the final manuscript

Output raster datasets for the three methods are available through the ZENODO repository

• probability-based method
• performance-based method
• prevalence-based method