cellular automata (CA)

AM-69 - Cellular automata (CA) modeling
  • Analyze the advantages and limitations of CA geospatial representations
  • Explain how the use of CA to represent a geographical region relates to how places in a region are interconnected
  • Describe how CA might represent a geographical region
  • Describe how local and global transitional rules are handled in CA
  • Describe how the rules of the Game of Life typically result in a continuously evolving pattern
  • Explain two geographical processes that could be effectively represented using CA
  • Explain two geographical processes that could not be effectively represented using CA
  • Describe classic CA transition rules
  • Describe the challenges of calibrating CA models
  • Explain how temporal concepts are implemented in CA models
  • Describe error sources of CA models
AM-69 - Cellular automata (CA) modeling
  • Analyze the advantages and limitations of CA geospatial representations
  • Explain how the use of CA to represent a geographical region relates to how places in a region are interconnected
  • Describe how CA might represent a geographical region
  • Describe how local and global transitional rules are handled in CA
  • Describe how the rules of the Game of Life typically result in a continuously evolving pattern
  • Explain two geographical processes that could be effectively represented using CA
  • Explain two geographical processes that could not be effectively represented using CA
  • Describe classic CA transition rules
  • Describe the challenges of calibrating CA models
  • Explain how temporal concepts are implemented in CA models
  • Describe error sources of CA models
AM-69 - Cellular automata (CA) modeling
  • Analyze the advantages and limitations of CA geospatial representations
  • Explain how the use of CA to represent a geographical region relates to how places in a region are interconnected
  • Describe how CA might represent a geographical region
  • Describe how local and global transitional rules are handled in CA
  • Describe how the rules of the Game of Life typically result in a continuously evolving pattern
  • Explain two geographical processes that could be effectively represented using CA
  • Explain two geographical processes that could not be effectively represented using CA
  • Describe classic CA transition rules
  • Describe the challenges of calibrating CA models
  • Explain how temporal concepts are implemented in CA models
  • Describe error sources of CA models
AM-72 - Integration of CA and other geocomputation methods
  • Appraise the possible improvement of integrating GeoAlgebra, Graph-Based Cellular Automata, or agent-based models to overcome the fixed-grid limitations of CA models
  • Explain the potential contribution of integrating data mining into CA models
  • Compare and contrast the analysis of a process using a CA with the analysis of the same process in a GIS using map algebra and similar raster operations
AM-69 - Cellular automata (CA)
  • Analyze the advantages and limitations of CA geospatial representations
  • Explain how the use of CA to represent a geographical region relates to how places in a region are interconnected
  • Describe how CA might represent a geographical region
  • Describe how local and global transitional rules are handled in CA
  • Describe how the rules of the Game of Life typically result in a continuously evolving pattern
  • Explain two geographical processes that could be effectively represented using CA
  • Explain two geographical processes that could not be effectively represented using CA
  • Describe classic CA transition rules
  • Describe the challenges of calibrating CA models
  • Explain how temporal concepts are implemented in CA models
  • Describe error sources of CA models