Step 5 – overlay the data and interpret the results

Now we have everything ready for overlaying the rasters and generating a cumulative suitability assessment. In the following table, you can see the full list of layers, weighted by their importance for general suitability. Weights are simple coefficients within a range of 0 to 1, and they are used to modify the rank properly.

No.	Raster layer name	Raster layer type	Rank min	Rank max	Weight coefficient	Max possible value = max rank * weight
1	athletic_facilities_proximity_ranks	Proximity	1	5	0.04	0.2
2	bike_routes_proximity_ranks	Proximity	1	3	0.06	0.18
3	hurricane_evacuation_zones	Zoning	1	7	0.16	1.12
4	hurricane_inundation_zones	Zoning	1	5	0.16	0.8
5	Museumart_ranked	Density	1	4	0.05	0.2
6	Noise_ranked	Density	1	5	0.13	0.65
7	Parks_proximity_ranks	Proximity	1	3	0.12	0.36
8	Schools_proximity_ranks	Proximity	1	4	0.15	0.6
9	subway_entrances_proximity_ranks	Proximity	1	4	0...