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1. Identity statement
Reference TypeBook Section
Sitemtc-m12.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier6qtX3pFwXQZ3P8SECKy/ALraD
Repositorysid.inpe.br/jeferson/2004/01.14.14.31   (restricted access)
Last Update2004:11.30.02.00.00 (UTC) marciana
Metadata Repositorysid.inpe.br/jeferson/2004/01.14.14.31.33
Metadata Last Update2024:12.12.18.04.06 (UTC) marciana
Secondary KeyINPE-10434-PRE/5929
ISBN/ISSN0195152700
Labelself-archiving-INPE-MCTIC-GOV-BR
Citation KeyCâmaraSpKoMoRaCaFu:2004:SoDySã
TitleMapping Social Exclusion/Inclusion in Developing Countries: Social Dynamics of São Paulo in the 1990s”
Year2004
Access Date2025, Jan. 15
Secondary TypePRE LI
Number of Files1
Size282 KiB
2. Context
Author1 Câmara, Gilberto
2 Sposati, Aldaiza
3 Koga, Dirce
4 Monteiro, Antônio Miguel
5 Ramos, Frederico Roman
6 Camargo, Eduardo
7 Fuks, Suzana Druck
Group1 DPI-INPE-MCT-BR
Affiliation1 Espaciais, Instituto Nacional de Pesquisas
2 Social Studies Research Center, Catholic University of São Paulo
EditorGoodchild, Michael F.
Janelle, Donald G.
Book TitleSpatially integrated social science: examples in best practice
PublisherUniversity of California
CitySanta Barbara
VolumeCap. 11
Pages17
History (UTC)2004-11-30 18:54:58 :: marciana -> administrator ::
2018-06-05 00:40:40 :: administrator -> marciana :: 2004
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
Version Typepublisher
Keywordsmethodology
mapping social exclusion and inclusion
urban areas
geographical information systems
GIS
Sao Paulo
AbstractThis 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.
AreaSRE
Arrangementurlib.net > BDMCI > Fonds > Produção anterior à 2021 > DIDPI > Mapping Social Exclusion/Inclusion...
doc Directory Contentaccess
source Directory Contentthere are no files
agreement Directory Contentthere are no files
4. Conditions of access and use
Languageen
Target Filesaopaulo_csiss.pdf
User Groupadministrator
Reader Groupadministrator
marciana
Visibilityshown
Copy HolderSID/SCD
Read Permissiondeny from all and allow from 150.163
5. Allied materials
Next Higher Units8JMKD3MGPCW/3EQCCU5
Citing Item Listsid.inpe.br/bibdigital/2013/09.09.15.05 14
Host Collectionsid.inpe.br/banon/2001/04.06.10.52
6. Notes
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