Abstract
This paper investigates how concepts from exploratory data analysis, dynamic graphics, and statistical visualization may be applied to the study of geo-referenced data. The first part describes the use of commercially available computer programs with data stored as irregularly spaced points or in raster (grid) format. The second part presents results from an operational prototype that operates on data stored as polygons and includes some novel features that extend cluster analysis into the spatial domain.

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