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COMPARING TRADITIONAL METHODS FOR SELECTING CLASS INTERVALS ON CHOROPLETH MAPS*.

The most common goat when classing data for choropleth maps is to create homogeneous classes which contain similar data values. None of the four traditional data classing methods examined here (quartile, equal interval, standard deviation, and natural breaks) consistently generalized the experimenta...

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Publicado en:Professional Geographer Vol. 38; no. 1; pp. 62 - 68
Autor principal: Smith, Richard M.
Formato: Artículo
Publicado: Taylor & Francis Ltd Feb86
Materias:
Geography > Statistical methods
Historical maps
Data analysis
Standard deviations
Analysis of variance
Distribution (Probability theory)
Geographical research
Acceso en línea:Ver este registro en EBSCOhost
Sumario:The most common goat when classing data for choropleth maps is to create homogeneous classes which contain similar data values. None of the four traditional data classing methods examined here (quartile, equal interval, standard deviation, and natural breaks) consistently generalized the experimental data sets into homogeneous classes. These methods were most accurate for data sets with specific distributional characteristics, but none classed all of any type of distribution accurately. Only the optimization method produced reliable and accurate results for all of the experimental data.