In contrast to spatial statistical analysis, fuzzy spatial analysis offers another tool for decision-making. Next to the traditional map, the sublayer is an uncertainty map which reflects the fuzzy aspect of reality. It describes reality from another perspective, which may approach human thinking. This has been shown consistently in the research leading this thesis. A fuzzy classification system is developed and this results in sublayers.
Measurements become fuzzy with a fuzzy buffer.
In connectivity operations, more complicated fuzzy buffer zones are generated. Neighborhood operations may become fuzzy search operations. The sublayer can be viewed as an independent spatial pattem. Based on this some derived pattems can be worked out. Spatial autocorrelation and association leave more room for developing fuzzy spatial analysis.