AM-48 - Mathematical models of uncertainty: probability and statistics

You are currently viewing an archived version of Topic Mathematical models of uncertainty: probability and statistics. If updates or revisions have been published you can find them at 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