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Markov analysis of land use dynamics: A Case Study in Madagascar

Abstract : We present a Markov model of a land-use dynamic along a forest corridor of Madagascar. A first approach by the maximum likelihood approach leads to a model with an absorbing state. We study the quasi-stationary distribution law of the model and the law of the hitting time of the absorbing state. According to experts, a transition not present in the data must be added to the model: this is not possible by the maximum likelihood method and we make of the Bayesian approach. We use a Markov chain Monte Carlo method to infer the transition matrix which in this case admits an invariant distribution law. Finally we analyze the two identified dynamics.
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https://hal.inrae.fr/hal-02746714
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Submitted on : Wednesday, June 3, 2020 - 10:37:11 AM
Last modification on : Wednesday, February 10, 2021 - 3:35:09 AM

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  • HAL Id : hal-02746714, version 1
  • PRODINRA : 285365

Citation

Fabien Campillo, Dominique Hervé, Rivo Rakotozafy. Markov analysis of land use dynamics: A Case Study in Madagascar. 11. Colloque Africain sur la Recherche en Informatique et en Mathématiques Appliquées (CARI’2012), Oct 2012, Alger, Algeria. ⟨hal-02746714⟩

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