Title

Using the k-Means Clustering Algorithm to Classify Features for Choropleth Maps

Document Type

Article

Language

eng

Format of Original

7 p.

Publication Date

Spring 2014

Publisher

University of Toronto Press

Source Publication

Cartographica

Source ISSN

0317-7173

Original Item ID

doi: 10.1353/car.2014.0007

Abstract

Common methods for classifying choropleth map features typically form classes based on a single feature attribute. This technical note reviews the use of the k-means clustering algorithm to perform feature classification using multiple feature attributes. The k-means clustering algorithm is described and compared to other common classification methods, and two examples of choropleth maps prepared using k-means clustering are provided.

Comments

Cartographica, Vol. 49, No. 1 (Spring 2014): 69-75. Permalink.

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