A Short Presentation of CA_MARKOV

  • Eastman J
  • Toledano J
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Abstract

CA_MARKOV is a combined Cellular Automata/Markov Chain/Multi-Criteria/Multi-Objective Land Allocation land cover prediction procedure. CA_MARKOV allocates land based on the suitability of the land for end covers along with a cellular automaton rule to promote spatial contiguity. CA_MARKOV works well when historical land cover data is not available or is not a good predictor of future land cover.

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Eastman, J. R., & Toledano, J. (2018). A Short Presentation of CA_MARKOV (pp. 481–484). https://doi.org/10.1007/978-3-319-60801-3_33

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