Barry J. Kronenfeld

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Data quality should be considered in compiling maps in order to reveal reliable information about the spatial variation of a phenomenon. However, creating classes in a choropleth map by maximizing data reliability (i.e. the statistical differences of observed values between classes) often lead to useless maps with very uneven number of observations in(More)
The concept of the categorical gradient field is introduced to encompass spatially continuous fields of probabilities or membership values in a fixed number of categories. Three models for implementing categorical gradient fields are examined: raster grids, epsilon bands and gradient polygons. Of these, the gradient polygon model shows promise but has not(More)
The increasing use of fuzzy classification methods to generalize environmental data has led to a persistent question of how to determine class membership values, as well as how to interpret these values once they have been determined. This paper integrates the above two problems as complementary aspects of the same data reduction process. Within this(More)
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