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		<secondarykey>INPE-10434-PRE/5929</secondarykey>
		<isbn-issn>0195152700</isbn-issn>
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		<citationkey>CâmaraSpKoMoRaCaFu:2004:SoDySã</citationkey>
		<title>Mapping Social Exclusion/Inclusion in Developing Countries: Social Dynamics of São Paulo in the 1990s”</title>
		<year>2004</year>
		<secondarytype>PRE LI</secondarytype>
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		<size>282 KiB</size>
		<author>Câmara, Gilberto,</author>
		<author>Sposati, Aldaiza,</author>
		<author>Koga, Dirce,</author>
		<author>Monteiro, Antônio Miguel,</author>
		<author>Ramos, Frederico Roman,</author>
		<author>Camargo, Eduardo,</author>
		<author>Fuks, Suzana Druck,</author>
		<group>DPI-INPE-MCT-BR</group>
		<affiliation>Espaciais, Instituto Nacional de Pesquisas</affiliation>
		<affiliation>Social Studies Research Center, Catholic University of São Paulo</affiliation>
		<editor>Goodchild, Michael F.,</editor>
		<editor>Janelle, Donald G.,</editor>
		<booktitle>Spatially integrated social science: examples in best practice</booktitle>
		<publisher>University of California</publisher>
		<city>Santa Barbara</city>
		<volume>Cap. 11</volume>
		<pages>17</pages>
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		<contenttype>External Contribution</contenttype>
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		<keywords>methodology , mapping social exclusion and inclusion, urban areas, geographical information systems, GIS, Sao Paulo.</keywords>
		<abstract>This chapter examines the use of spatial analytical techniques to explore the patterns of social exclusion for the Brazilian city of São Paulo, based on indices of social exclusion/inclusion calculated from census data. We used global and local spatial autocorrelation indices to identify clusters of social exclusion and social inclusion in São Paulo. Spatial regression techniques measured the relation between the various phenomena that comprise social exclusion, and helped establish how the conditioning factors of social exclusion vary within the city. We also used geostatistical techniques for producing surfaces of spatio-temporal trends in the evolution of crime in São Paulo. These examples show how spatial analytical techniques can enhance the understanding of social exclusion and inclusion patterns in large cities of the developing world.</abstract>
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		<language>en</language>
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