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首页> 外文会议>ISPRS Geospatial Week >ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA
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ASSESSING MODIFIABLE AREAL UNIT PROBLEM IN THE ANALYSIS OF DEFORESTATION DRIVERS USING REMOTE SENSING AND CENSUS DATA

机译：使用遥感和人口普查数据分析森林砍伐司机分析中的可修改的区域问题

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摘要

In order to identify drivers of land use / land cover change (LUCC), the rate of change is often compared with environmental and socio-economic variables such as slope, soil suitability or population density. Socio-economic information is obtained from census data which are collected for individual households but are commonly presented in aggregate on the basis of geographical units as municipalities. However, a common problem, known as the modifiable areal unit problem (MAUP), is that the results of statistical analysis 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 by taking socio-economic variables from the 2010 Census of Mexico along with environmental variables and the rate of deforestation. As population 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 the effect of scale and aggregation on the values of bivariate correlations (Pearsons r) between pairs of variables. We found that MAUP produces variations in the results, and we observed some variable pairs and some configurations of the spatial units where the effect was substantial.
机译：为了识别土地利用/陆地覆盖变化的驱动因素（LUCC），通常与坡，土壤适用性或人口密度等环境和社会经济变量进行变化率。社会经济信息是从人口普查数据获得的，该数据是为个人家庭收集的，但通常在地理单位作为市政当局汇总。然而，一个常见的问题，被称为可修改的面积单位问题（MAUP），是统计分析的结果与用于聚合信息的单位的等级和空间配置不合适。在本文中，我们评估了强大的毛化效应如何研究墨西哥在市政层面的森林砍伐司机。这是通过从2010年墨西哥人口普查以及环境变量和森林砍伐率的情况下采取社会经济变量。随着人口普查的每个人沉降和环境变量从高分辨率空间数据库获得，可以使用不同尺寸的空间单元（“伪市”）汇总信息，以便观察规模和聚集的效果成对变量之间的双变量相关性（Pearsons R）的值。我们发现MAUP产生结果的变化，我们观察了一些可变对和一些配置的效果很大的空间单元的配置。

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