[no] Mathematical models of uncertainty: Probability and statistics

Models that describe the basic principles of randomness and probability in spatio-temporal data.

External resources

• Zhang, J., & Goodchild, M. F. (2002). Uncertainty in geographical information. CRC press.

Learning outcomes

• 482 - Describe the basic principles of randomness and probability
  Describe the basic principles of randomness and probability
• 483 - Devise simple ways to represent probability information in GIS
  Devise simple ways to represent probability information in GIS
• 484 - Recognize the assumptions underlying probability and geostatistics and the situations in which they are useful analytical tools
  Recognize the assumptions underlying probability and geostatistics and the situations in which they are useful analytical tools
• 485 - Compute descriptive statistics and geostatistics of geographic data
  Compute descriptive statistics and geostatistics of geographic data
• 486 - Interpret descriptive statistics and geostatistics of geographic data
  Interpret descriptive statistics and geostatistics of geographic data

Self assessment

Outgoing relations

• [no] Mathematical models of uncertainty: Probability and statistics subclassof [CF7] Imperfections in geographic information

Contributors

• Rob Lemmens
  University of Twente, Faculty of Geo-Information Science and Earth Observation (ITC)
  https://research.utwente.nl/en/persons/rob-lemmens