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AM-48 - Mathematical models of uncertainty: probability and statistics
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
Related Topics:
Vagueness
Mathematical models of vagueness: Fuzzy sets and rough sets
Error-based uncertainty

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