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.
CITATION STYLE
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
Mendeley helps you to discover research relevant for your work.