Proposal of methodology for spatial analysis applied to human development index in water basins
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , |
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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Repositório Institucional da UNESP |
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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:29462024-08-05T19:17:53.719433Repositório 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 |
dc.format.none.fl_str_mv |
1-16 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 |
|
_version_ |
1808129048423956480 |