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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). Stochastic processes. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).
Learning Objectives:
List the two basic assumptions of the purely random process
Exemplify non-stationarity involving first and second order effects
Differentiate between isotropic and anisotropic processes
Discuss the theory leading to the assumption of intrinsic stationarity
Outline the logic behind the derivation of long run expected outcomes of the independent random process using quadrat counts
Exemplify deterministic and spatial stochastic processes
Justify the stochastic process approach to spatial statistical 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You are currently viewing an archived version of Topic .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). Stochastic processes. The Geographic Information Science & Technology Body of Knowledge. Washington, DC: Association of American Geographers. (2nd Quarter 2016, first digital).