I currently use a "classic" raster based approach of dividing a study area into cells. All input layers are converted to rasters at the same cell resolution and given a suitability rating.
A final suitability rating for each cell is calculated by combining each layers rating, with weightings to reflect the factors importance.
A final mask is applied to exclude any areas, such as waterbodies, that are unsuitable for the proposed land use.
Problems with this approach include:
- choosing a cell resolution that is either to large to provide meaningful results, or a high resolution giving a false sense of accuracy.
- finding weightings for each of the input parameters.
Are there any other problems or alternatives to producing land suitability maps?