Land use predictions on a regular grid at different scales and with easily accessible covariates

Chakir, Raja, Laurent, Thibault, Ruiz-Gazen, Anne, Thomas-Agnan, Christine and Vignes, Céline (2016) Land use predictions on a regular grid at different scales and with easily accessible covariates. TSE Working Paper, n. 16-666

[img]
Preview
Text
Download (1MB) | Preview
Official URL: http://tse-fr.eu/pub/30545

Abstract

We propose in this paper models that allow to predict land use (urban, agriculture, forests, natural grasslands and soil) at the points of the Teruti-Lucas survey from easily accessible covariates. Our approach involves two steps : first we model land use at the Teruti Lucas point level and second, we propose a method to aggregate land use on regular meshes. The model of the first stage provides fine level predictions. The second step aggregates these predictions on the tiles of the mesh comparing several methods. We are considering various regular meshes of the territory to study the prediction quality depending on the resolution. We show that with easily accessible variables we have an acceptable prediction quality at the point level and that the quality of prediction is improved from the very first stage of aggregation.

Item Type: Monograph (Working Paper)
Language: English
Date: July 2016
Uncontrolled Keywords: land use models, Teruti-Lucas survey, classication tree
JEL codes: C21 - Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
C25 - Discrete Regression and Qualitative Choice Models; Discrete Regressors
Q15 - Land Ownership and Tenure; Land Reform; Land Use; Irrigation
R14 - Land Use Patterns
Subjects: B- ECONOMIE ET FINANCE
Divisions: TSE-R (Toulouse)
Institution: Université Toulouse Capitole
Site: UT1
Date Deposited: 06 Jul 2016 07:38
Last Modified: 24 May 2018 10:14
OAI ID: oai:tse-fr.eu:30545
URI: http://publications.ut-capitole.fr/id/eprint/22201

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year