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Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles

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  • Chakir, Raja
  • Laurent, Thibault
  • Ruiz-Gazen, Anne
  • Thomas-Agnan, Christine
  • Vignes, Céline

Abstract

Nous proposons dans ce travail d’évaluer dans quelle mesure un modèle de prédiction à partir de covariables facilement accessibles permet de donner une image de l’usage des sols comparable à celle obtenue à partir de l’information complète au niveau individuel souvent coûteuse. L’utilisation des sols est mesurée par l’occupation physique telle que définie dans l’enquête Teruti-Lucas, et nous considérons cinq catégories : urbain, agricole, forêts, prairies et sols naturels. Notre approche comporte deux étapes : la première étape permet de modéliser l’utilisation du sol au niveau des points Teruti-Lucas tandis que la deuxième étape propose une méthode pour en déduire l’utilisation des sols sur un maillage défini par des carreaux. Le modèle de la première étape fournit des prédictions à un niveau fin. La deuxième étape agrège, en comparant plusieurs méthodes, ces prédictions sur les carreaux du maillage. Nous envisageons différents maillages réguliers du territoire en carreaux pour étudier la qualité de restitution en fonction de la résolution. Nous montrons qu’avec des variables facilement accessibles on obtient une qualité de prédiction acceptable au niveau point et que l’amélioration de la qualité est importante dès la première étape d’agrégation.

Suggested Citation

  • Chakir, Raja & Laurent, Thibault & Ruiz-Gazen, Anne & Thomas-Agnan, Christine & Vignes, Céline, 2017. "Prédiction de l’usage des sols sur un zonage régulier à différentes résolutions et à partir de covariables facilement accessibles," TSE Working Papers 17-769, Toulouse School of Economics (TSE).
  • Handle: RePEc:tse:wpaper:31517
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    1. Tutz, Gerhard & Pößnecker, Wolfgang & Uhlmann, Lorenz, 2015. "Variable selection in general multinomial logit models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 207-222.
    2. Raja Chakir & Olivier Parent, 2009. "Determinants of land use changes: A spatial multinomial probit approach," Papers in Regional Science, Wiley Blackwell, vol. 88(2), pages 327-344, June.
    3. Chakir, Raja & Le Gallo, Julie, 2013. "Predicting land use allocation in France: A spatial panel data analysis," Ecological Economics, Elsevier, vol. 92(C), pages 114-125.
    4. Train,Kenneth E., 2009. "Discrete Choice Methods with Simulation," Cambridge Books, Cambridge University Press, number 9780521766555.
    5. Gerald C. Nelson & Daniel Hellerstein, 1997. "Do Roads Cause Deforestation? Using Satellite Images in Econometric Analysis of Land Use," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 79(1), pages 80-88.
    6. R. Winkler & Javier Muñoz & José Cervera & José Bernardo & Gail Blattenberger & Joseph Kadane & Dennis Lindley & Allan Murphy & Robert Oliver & David Ríos-Insua, 1996. "Scoring rules and the evaluation of probabilities," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(1), pages 1-60, June.
    7. Lukas Meier & Sara Van De Geer & Peter Bühlmann, 2008. "The group lasso for logistic regression," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 70(1), pages 53-71, February.
    8. Nazneen Ferdous & Chandra Bhat, 2013. "A spatial panel ordered-response model with application to the analysis of urban land-use development intensity patterns," Journal of Geographical Systems, Springer, vol. 15(1), pages 1-29, January.
    9. Daniel P. McMillen, 1989. "An Empirical Model of Urban Fringe Land Use," Land Economics, University of Wisconsin Press, vol. 65(2), pages 138-145.
    10. Wu, JunJie, 2014. "The Oxford Handbook of Land Economics," OUP Catalogue, Oxford University Press, number 9780199763740 edited by Duke, Joshua M..
    11. François Facchini, 2000. "Politique agricole, zonage et aménagement du territoire rural," Post-Print hal-00490344, HAL.
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