Inferring land use dynamics by semi-Markov model - Inria - Institut national de recherche en sciences et technologies du numérique Access content directly
Conference Papers Year : 2014

Inferring land use dynamics by semi-Markov model


We propose land use dynamics models corresponding to parcels located on the edge of the forest corridor, Madagascar. We use semi-Markov chain to infer the land-use dynamics. In addition to the empirical and maximum likelihood methods, we estimate the semi-Markov kernel by a Bayesian approach. In the latter case, we use Jeffreys' non-informative prior and we approximate the posterior distribution by Monte Carlo Markov Chain (MCMC) approximation. These three estimation methods lead to three different models, two are absorbing and one is regular. We study the asymptotic behavior of these models. We have determined the time scales of the considered land-use dynamics.
Fichier principal
Vignette du fichier
raherinirina2014a.pdf (703.17 Ko) Télécharger le fichier
Origin : Files produced by the author(s)

Dates and versions

hal-01100087 , version 1 (09-01-2015)


  • HAL Id : hal-01100087 , version 1
  • PRODINRA : 313540


Angelo Raherinirina, Dominique Hervé, Fabien Campillo. Inferring land use dynamics by semi-Markov model. 12th African Conference on Research in Computer Science and Applied Mathematics, Institut National de Recherche en Informatique et en Automatique (INRIA). Sophia Antipolis, FRA., Oct 2014, Université Gaston Berger Saint-Louis, Sénégal, Senegal. pp.1-8. ⟨hal-01100087⟩
475 View
112 Download


Gmail Facebook X LinkedIn More