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In order to identify drivers of land use / land cover change (LUCC), the rate of change is often compared with environmental andsocio-economic variables such as slope, soil suitability or population density. Socio-economic information is obtained from censusdata which are collected for individual households but are commonly presented in aggregate on the basis of geographical units asmunicipalities. However, a common problem, known as the modifiable areal unit problem (MAUP), is that the results of statisticalanalysis are not independent of the scale and the spatial configuration of the units used to aggregate the information. In this article,we evaluate how strong MAUP effects are for a study on the deforestation drivers in Mexico at municipality level. This was done bytaking socio-economic variables from the 2010 Census of Mexico along with environmental variables and the rate of deforestation. Aspopulation census is given for each human settlement and environmental variables are obtained from high resolution spatial database,it was possible to aggregate the information using spatial units (”pseudo municipalities”) with different sizes in order to observe theeffect of scale and aggregation on the values of bivariate correlations (Pearsons r) between pairs of variables. We found that MAUPproduces variations in the results, and we observed some variable pairs and some configurations of the spatial units where the effectwas substantial

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA