DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Mathematical models of uncertainty: Probability and statistics. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
Devise simple ways to represent probability information in GIS
Describe the basic principles of randomness and probability
Compute descriptive statistics and geostatistics of geographic data
Interpret descriptive statistics and geostatistics of geographic data
Recognize the assumptions underlying probability and geostatistics and the situations in which they are useful analytical tools
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DiBiase, D., DeMers, M., Johnson, A., Kemp, K., Luck, A. T., Plewe, B., and Wentz, E. (2006). Mathematical models of uncertainty: Probability and statistics. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).