You are currently viewing an archived version of Topic Cellular Automata.
If updates or revisions have been published you can find them at Cellular Automata.
Learning Objectives:
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
You are currently viewing an archived version of Topic Cellular Automata. If updates or revisions have been published you can find them at Cellular Automata.
Keywords: