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Author and Citation Info:
DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Analytical approaches. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Compare and contrast spatial statistical analysis, spatial data analysis, and spatial modeling
Compare and contrast the methods of analyzing aggregate data as opposed to methods of analyzing a set of individual observations
Define the terms spatial analysis, spatial modeling, geostatistics, spatial econometrics, spatial statistics, qualitative analysis, map algebra, and network analysis
Differentiate between geostatistics and spatial statistics
Discuss situations when it is desirable to adopt a spatial approach to the analysis of data
Explain what is added to spatial analysis to make it spatio-temporal analysis
Explain what is special (i.e., difficult) about geospatial data analysis and why some traditional statistical analysis techniques are not suited to geographic problems
Outline the sequence of tasks required to complete the analytical process for a given spatial problem
Compare and contrast spatial statistics and map algebra as two very different kinds of data analysis
You are currently viewing an archived version of Topic .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). Analytical approaches. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).