Visualizing the Impact of Geographical Variations on Multivariate Clustering

• Published in: Computer graphics forum Vol. 35; no. 3; pp. 101 - 110
• Main Authors: Zhang, Y., Luo, W., Mack, E. A., Maciejewski, R.
• Format: Journal Article
• Language: English
• Published: Oxford Blackwell Publishing Ltd 01.06.2016
• Subjects: Algorithms; Analysis; Categories and Subject Descriptors (according to ACM CCS); Clustering; Clusters; Computer graphics; Heterogeneity; I.3.3 [Computer Graphics]: Applications; Land use; Mathematical analysis; Multivariate analysis; Statistics; Studies; Visualization

Traditional multivariate clustering approaches are common in many geovisualization applications. These algorithms are used to define geodemographic profiles, ecosystems and various other land use patterns that are based on multivariate measures. Cluster labels are then projected onto a choropleth ma...