期刊名称:GI_FORUM - Journal for Geographic Information Science
电子版ISSN:2308-1708
出版年度:2015
页码:625-634
DOI:10.1553/giscience2015s625
出版社:ÖAW Verlag, Wien
摘要:Automated zoning procedures offer efficient, systematic and objective methodologies foridentifying the neighborhood effects on socio-economic statistics. However, the automaticspatial aggregation of census data over manually defined geographic units based on landscapeheterogeneity characteristics are barely studied. In this study we utilize high-resolutionremote sensing data and census data and apply a multi-level zoning system in order toanalyze how a deprivation index differs in the corresponding urbanization environmentwithin the Shannon’s diversity Index. Our study area is the capital city of Ecuador, Quito.The results of the autocorrelation analysis show that, within the Shannon’s Diversity-basedmulti-level zoning system, areas with a low degree of deprivation in the city center of Quitotend to be larger as the size of the neighborhood increases, and the poverty areas, which aremainly located in the north-east and south-west of Quito, differ significantly between differentzoning levels. Our conclusion is that the neighborhood effect influences not only thecomposition of the spatial pattern and social data, but also their correlation and autocorrelation.Therefore, when analyzing the environment effect of urbanization and its influence onthe society development, different levels of zoning systems should be taken into consideration.