Proposal of methodology for spatial analysis applied to human development index in water basins

Detalhes bibliográficos
Autor(a) principal: Sales, Jomil Costa Abreu [UNESP]
Data de Publicação: 2018
Outros Autores: E Silva, Darllan Collins Da Cunha, Bitar, Omar Yazbek, Lourenço, Roberto Wagner [UNESP]
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1007/s10708-018-9894-z
http://hdl.handle.net/11449/171085
Resumo: Historically, the Human Development Index (HDI) is used to measure the socioeconomic performance of a population. Despite harsh criticism about its efficiency as an indicator of development, it is still widely used as a tool for public management planning. This study proposes a methodology using geoprocessing techniques to perform the mapping and prediction of HDI spatial distribution in the Una River Basin (HDIURB). We used data from the 2010 Demographic Census to calculate the sub-indexes of population longevity, education and income. After obtaining the results, we applied Ordinary Kriging geostatistical interpolation to obtain the continuous variation of HDI values. According to the results, the highest value of HDIURB was obtained in the northern region of the basin located near the urban area of the municipality of Ibiúna (0.86), decreasing as it approached the southern region (0.69), classified as an average human development. Finally, the methodology, despite some limitations, proved to be satisfactory, since it was able to represent internal differences in a water basin from the point of view of quality of life of the population. It may be applied as a tool for management and public administration.
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spelling Proposal of methodology for spatial analysis applied to human development index in water basinsDemographic CensusGeoprocessingKrigingSocioeconomic indexHistorically, the Human Development Index (HDI) is used to measure the socioeconomic performance of a population. Despite harsh criticism about its efficiency as an indicator of development, it is still widely used as a tool for public management planning. This study proposes a methodology using geoprocessing techniques to perform the mapping and prediction of HDI spatial distribution in the Una River Basin (HDIURB). We used data from the 2010 Demographic Census to calculate the sub-indexes of population longevity, education and income. After obtaining the results, we applied Ordinary Kriging geostatistical interpolation to obtain the continuous variation of HDI values. According to the results, the highest value of HDIURB was obtained in the northern region of the basin located near the urban area of the municipality of Ibiúna (0.86), decreasing as it approached the southern region (0.69), classified as an average human development. Finally, the methodology, despite some limitations, proved to be satisfactory, since it was able to represent internal differences in a water basin from the point of view of quality of life of the population. It may be applied as a tool for management and public administration.Department of Environmental Engineering São Paulo State University – UNESP, 3 de Março Avenue, no 511, PO Box 18087-180Sorocaba University – UNISO, Raposo Tavares, km, 92.5 Road, PO Box 18023-000Institute for Technological Research – IPT, 31 - Av. Prof. Almeida Prado, 532, PO Box 05508-901Department of Environmental Engineering São Paulo State University – UNESP, 3 de Março Avenue, no 511, PO Box 18087-180Universidade Estadual Paulista (Unesp)Sorocaba University – UNISOInstitute for Technological Research – IPTSales, Jomil Costa Abreu [UNESP]E Silva, Darllan Collins Da CunhaBitar, Omar YazbekLourenço, Roberto Wagner [UNESP]2018-12-11T16:53:50Z2018-12-11T16:53:50Z2018-06-06info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article1-16application/pdfhttp://dx.doi.org/10.1007/s10708-018-9894-zGeoJournal, p. 1-16.1572-98930343-2521http://hdl.handle.net/11449/17108510.1007/s10708-018-9894-z2-s2.0-850480593772-s2.0-85048059377.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengGeoJournal0,5030,503info:eu-repo/semantics/openAccess2023-12-02T06:13:27Zoai:repositorio.unesp.br:11449/171085Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462023-12-02T06:13:27Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Proposal of methodology for spatial analysis applied to human development index in water basins
title Proposal of methodology for spatial analysis applied to human development index in water basins
spellingShingle Proposal of methodology for spatial analysis applied to human development index in water basins
Sales, Jomil Costa Abreu [UNESP]
Demographic Census
Geoprocessing
Kriging
Socioeconomic index
title_short Proposal of methodology for spatial analysis applied to human development index in water basins
title_full Proposal of methodology for spatial analysis applied to human development index in water basins
title_fullStr Proposal of methodology for spatial analysis applied to human development index in water basins
title_full_unstemmed Proposal of methodology for spatial analysis applied to human development index in water basins
title_sort Proposal of methodology for spatial analysis applied to human development index in water basins
author Sales, Jomil Costa Abreu [UNESP]
author_facet Sales, Jomil Costa Abreu [UNESP]
E Silva, Darllan Collins Da Cunha
Bitar, Omar Yazbek
Lourenço, Roberto Wagner [UNESP]
author_role author
author2 E Silva, Darllan Collins Da Cunha
Bitar, Omar Yazbek
Lourenço, Roberto Wagner [UNESP]
author2_role author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Sorocaba University – UNISO
Institute for Technological Research – IPT
dc.contributor.author.fl_str_mv Sales, Jomil Costa Abreu [UNESP]
E Silva, Darllan Collins Da Cunha
Bitar, Omar Yazbek
Lourenço, Roberto Wagner [UNESP]
dc.subject.por.fl_str_mv Demographic Census
Geoprocessing
Kriging
Socioeconomic index
topic Demographic Census
Geoprocessing
Kriging
Socioeconomic index
description Historically, the Human Development Index (HDI) is used to measure the socioeconomic performance of a population. Despite harsh criticism about its efficiency as an indicator of development, it is still widely used as a tool for public management planning. This study proposes a methodology using geoprocessing techniques to perform the mapping and prediction of HDI spatial distribution in the Una River Basin (HDIURB). We used data from the 2010 Demographic Census to calculate the sub-indexes of population longevity, education and income. After obtaining the results, we applied Ordinary Kriging geostatistical interpolation to obtain the continuous variation of HDI values. According to the results, the highest value of HDIURB was obtained in the northern region of the basin located near the urban area of the municipality of Ibiúna (0.86), decreasing as it approached the southern region (0.69), classified as an average human development. Finally, the methodology, despite some limitations, proved to be satisfactory, since it was able to represent internal differences in a water basin from the point of view of quality of life of the population. It may be applied as a tool for management and public administration.
publishDate 2018
dc.date.none.fl_str_mv 2018-12-11T16:53:50Z
2018-12-11T16:53:50Z
2018-06-06
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1007/s10708-018-9894-z
GeoJournal, p. 1-16.
1572-9893
0343-2521
http://hdl.handle.net/11449/171085
10.1007/s10708-018-9894-z
2-s2.0-85048059377
2-s2.0-85048059377.pdf
url http://dx.doi.org/10.1007/s10708-018-9894-z
http://hdl.handle.net/11449/171085
identifier_str_mv GeoJournal, p. 1-16.
1572-9893
0343-2521
10.1007/s10708-018-9894-z
2-s2.0-85048059377
2-s2.0-85048059377.pdf
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv GeoJournal
0,503
0,503
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
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application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
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