Map generalization can take many forms, and is designed to reduce the complexities of the real world by strategically reducing ancillary and unnecessary details. One way that geospatial data can be reduced is through the selection process.
- Map Generalization that fits a functional form to the entire data set (e.g., polynomial surface fitting).
Figure 1-1. Point density map aggregating the number of customers within a quarter of a mile.
32. Weibel, R., Map generalization in the context of digital systems. CaGIS, 1995. 22(4): pp. 259-263.
Working Group on Map Generalization (ICA)
WGNHS
Wisconsin Geological and Natural History Survey ...
The thinning of coordinates is also required in the map generalization process of linear simplification. Linear simplification is one component of generalization that is required when data from one scale, e.g.
From point of view of our discussion the most interesting GIS application of intelligent software agents is the map generalization.
 See also: GIS, Generalization, Location, Model, Information
  
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