%0 Journal Article
%@holdercode {isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S}
%@tertiarymark Trabalho Vinculado à Tese/Dissertação
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%@resumeid 8JMKD3MGP5W/3C9JJ8Q
%@resumeid
%@resumeid 8JMKD3MGP5W/3C9JHRG
%@resumeid 8JMKD3MGP5W/3C9JGJN
%X This work proposes a methodological approach to redistribute population data obtained from polygonal census tracts into population density surfaces (grids) based on a cell space database. The methodology was first developed for the municipality of Maraba´, Para´ state, in the Brazilian Amazon. We used a dasymetric method to eliminate areas of environmental restriction to human presence; then integrated environmental data indicative of human presence to generate a potential surface of population occurrence; and finally, census population count data were redistributed into cells. The methodology was subsequently adapted for 13 municipalities of the Sustainable Forests District (SFD) of BR-163, generating population distribution surfaces for 2000 and 2007. The evolution of the resident population over the SFD-BR163 showed spatial patterns compatible with the occupation process described in the literature and verified by fieldwork. To be applied over other areas, the proposed methodology must be adapted with local parameters but in this way, population density surfaces can be useful as an additional data source to study population and environment relationships.
%N 4
%T Using remote sensing and census tract data to improve representation of population spatial distribution: case studies in the Brazilian Amazon
%@electronicmailaddress silvana@dpi.inpe.br
%@secondarytype PRE PI
%K remote sensing, population distribution, population density surface, Amazon, fuzzy inference, sustainable forest district of BR163, spatial analyses, GIS.
%@archivingpolicy denypublisher denyfinaldraft12
%@usergroup administrator
%@usergroup lattes
%@usergroup secretaria.cpa@dir.inpe.br
%@group DPI-OBT-INPE-MCTI-GOV-BR
%@group
%@group DPI-OBT-INPE-MCTI-GOV-BR
%@group DPI-OBT-INPE-MCTI-GOV-BR
%@e-mailaddress silvana@dpi.inpe.br
%3 Using remote sensing and census tract.pdf
%@secondarymark B1_GEOGRAFIA A2_INTERDISCIPLINAR B2_PLANEJAMENTO_URBANO_E_REGIONAL_/_DEMOGRAFIA
%F lattes: 3854323052723159 1 AmaralGavlEscaMont:2012:CaStBr
%@issn 0199-0039
%2 dpi.inpe.br/plutao/2012/06.21.19.00.38
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%@affiliation Instituto Nacional de Pesquisas Espaciais (INPE)
%B Population and Environment
%@versiontype publisher
%P 142–170
%4 dpi.inpe.br/plutao/2012/06.21.19.00.37
%@documentstage not transferred
%D 2012
%V 34
%@doi 10.1007/s11111-012-0168-2
%A Amaral, Silvana,
%A Gavlak, André Augusto,
%A Escada, Maria Isabel Sobral,
%A Monteiro, Antônio Miguel Vieira,
%@dissemination WEBSCI; PORTALCAPES.
%@area SRE