You are currently viewing an archived version of Topic .
If updates or revisions have been published you can find them at .
Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Analyzing multidimensional attributes. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Relate plots of multidimensional attribute data to geography by equating similarity in data space with proximity in geographical space
Conduct a simple hierarchical cluster analysis to classify area objects into statistically similar regions
Perform multidimensional scaling (MDS) and principal components analysis (PCA) to reduce the number of coordinates, or dimensionality, of a problem
Produce plots in several data dimensions using a data matrix of attributes
You are currently viewing an archived version of Topic . If updates or revisions have been published you can find them at .
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Analyzing multidimensional attributes. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).