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Markov Models of Landscape Dynamics

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Modelling Landscape Dynamics

Part of the book series: RaumFragen: Stadt – Region – Landschaft ((RFSRL))

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Abstract

Markov matrices of landscape change are efficient and reliable for stochastic modelling and forecasting landscape dynamics. After a detailed presentation of how to build them and how to handle them for deriving predictions, it is shown how it is possible to derive the equilibrium allocation from the limiting matrix on the basis of the Perron-Frobenius theorem and how to evaluate epistemologically the predictions that can be derived from such models (i.e. by focusing on issues such as the presence of absorbing states, the stationarity/non-stationarity of transition probabilities, ergodicity).

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Authors and Affiliations

  1. Mathematisch-Naturwissenschaftliche Fakultät, Forschungsbereich Geographie, Universität Tübingen, Tübingen, Germany

    Fivos Papadimitriou

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  1. Fivos Papadimitriou
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Correspondence to Fivos Papadimitriou .

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Papadimitriou, F. (2023). Markov Models of Landscape Dynamics. In: Modelling Landscape Dynamics. RaumFragen: Stadt – Region – Landschaft. Springer VS, Wiesbaden. https://doi.org/10.1007/978-3-658-42496-1_4

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  • DOI: https://doi.org/10.1007/978-3-658-42496-1_4

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  • Publisher Name: Springer VS, Wiesbaden

  • Print ISBN: 978-3-658-42495-4

  • Online ISBN: 978-3-658-42496-1

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