Time-Space Dependencies in Land-Use Successions at Agricultural Landscape ScalesReportar como inadecuado

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1 INRA SAD - Unité de recherche SAD ASTER - Station de Mirecourt 2 ORPAILLEUR - Knowledge representation, reasonning INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications

Abstract : The agricultural landscape can be seen as an assemblage of farm territories. The way farmers organize these territories is a time AND spatial process. Understanding how a land-use succession LUS in a parcel depends on LUS of the neighbouring parcels is a milestone to understand the time-spatial organization of the landscape mosaic. In this work, we analyse these time-space dependencies at agricultural landscape scales. We have performed a data mining process based on hidden Markov models HMM to identify spatial clusters of similar distributions of LUS in 2 neighbouring parcels, furthermore called cliques. We applied this data mining process to a land-use data set covering the period from 1996 to 2007 of a 350 km² agricultural landscape located within the Niort Plain France. To take into account the irregular neighbour system of the parcel mosaic, we used a variable depth Hilbert-Peano scan of the area covering the landscape. Through illustrative examples of two contrasted spatial stochastic clusters, we show that considering temporal cliques gives valuable information on the neighbour system in terms of attraction between LUS.

Mots-clés : HMM2 data mining temporal cliques

Autor: El-Ghali Lazrak - Marc Benoît - Jean-Francois Mari -

Fuente: https://hal.archives-ouvertes.fr/


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