Modelling air temperature for the state of São Paulo, Brazil

Detalhes bibliográficos
Autor(a) principal: Rodríguez-Lado,Luis
Data de Publicação: 2007
Outros Autores: Sparovek,Gerd, Vidal-Torrado,Pablo, Dourado-Neto,Durval, Macías-Vázquez,Felipe
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Scientia Agrícola (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000500002
Resumo: Spatial modelling of air temperature (maximum, mean and minimum) of the State of São Paulo (Brazil) was calculated by multiple regression analysis and ordinary kriging. Climatic data (mean values of five or more years) were obtained from 256 meteorological stations distributed uniformly over the State. The correlation between the climatic dependent variables, with latitude and altitude as independent variables was significant and could explain most of the spatial variability. The coefficients of determination (P < 0.05) varied in the range of 0.924 and 0.953, showing that multiple regression analysis is an accurate method for the modelling of air temperature for the State of São Paulo. Finally, these regression equations were used together with the kriged maps of the residual errors to build 15 digital maps of air temperature using a 0.5 km² Digital Elevation Model in a Geographic Information System.
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spelling Modelling air temperature for the state of São Paulo, BrazilDEMGISmultiple regression analysiskrigingclimate modellingSpatial modelling of air temperature (maximum, mean and minimum) of the State of São Paulo (Brazil) was calculated by multiple regression analysis and ordinary kriging. Climatic data (mean values of five or more years) were obtained from 256 meteorological stations distributed uniformly over the State. The correlation between the climatic dependent variables, with latitude and altitude as independent variables was significant and could explain most of the spatial variability. The coefficients of determination (P < 0.05) varied in the range of 0.924 and 0.953, showing that multiple regression analysis is an accurate method for the modelling of air temperature for the State of São Paulo. Finally, these regression equations were used together with the kriged maps of the residual errors to build 15 digital maps of air temperature using a 0.5 km² Digital Elevation Model in a Geographic Information System.Escola Superior de Agricultura "Luiz de Queiroz"2007-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000500002Scientia Agricola v.64 n.5 2007reponame:Scientia Agrícola (Online)instname:Universidade de São Paulo (USP)instacron:USP10.1590/S0103-90162007000500002info:eu-repo/semantics/openAccessRodríguez-Lado,LuisSparovek,GerdVidal-Torrado,PabloDourado-Neto,DurvalMacías-Vázquez,Felipeeng2007-10-05T00:00:00Zoai:scielo:S0103-90162007000500002Revistahttp://revistas.usp.br/sa/indexPUBhttps://old.scielo.br/oai/scielo-oai.phpscientia@usp.br||alleoni@usp.br1678-992X0103-9016opendoar:2007-10-05T00:00Scientia Agrícola (Online) - Universidade de São Paulo (USP)false
dc.title.none.fl_str_mv Modelling air temperature for the state of São Paulo, Brazil
title Modelling air temperature for the state of São Paulo, Brazil
spellingShingle Modelling air temperature for the state of São Paulo, Brazil
Rodríguez-Lado,Luis
DEM
GIS
multiple regression analysis
kriging
climate modelling
title_short Modelling air temperature for the state of São Paulo, Brazil
title_full Modelling air temperature for the state of São Paulo, Brazil
title_fullStr Modelling air temperature for the state of São Paulo, Brazil
title_full_unstemmed Modelling air temperature for the state of São Paulo, Brazil
title_sort Modelling air temperature for the state of São Paulo, Brazil
author Rodríguez-Lado,Luis
author_facet Rodríguez-Lado,Luis
Sparovek,Gerd
Vidal-Torrado,Pablo
Dourado-Neto,Durval
Macías-Vázquez,Felipe
author_role author
author2 Sparovek,Gerd
Vidal-Torrado,Pablo
Dourado-Neto,Durval
Macías-Vázquez,Felipe
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Rodríguez-Lado,Luis
Sparovek,Gerd
Vidal-Torrado,Pablo
Dourado-Neto,Durval
Macías-Vázquez,Felipe
dc.subject.por.fl_str_mv DEM
GIS
multiple regression analysis
kriging
climate modelling
topic DEM
GIS
multiple regression analysis
kriging
climate modelling
description Spatial modelling of air temperature (maximum, mean and minimum) of the State of São Paulo (Brazil) was calculated by multiple regression analysis and ordinary kriging. Climatic data (mean values of five or more years) were obtained from 256 meteorological stations distributed uniformly over the State. The correlation between the climatic dependent variables, with latitude and altitude as independent variables was significant and could explain most of the spatial variability. The coefficients of determination (P < 0.05) varied in the range of 0.924 and 0.953, showing that multiple regression analysis is an accurate method for the modelling of air temperature for the State of São Paulo. Finally, these regression equations were used together with the kriged maps of the residual errors to build 15 digital maps of air temperature using a 0.5 km² Digital Elevation Model in a Geographic Information System.
publishDate 2007
dc.date.none.fl_str_mv 2007-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000500002
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0103-90162007000500002
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S0103-90162007000500002
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
publisher.none.fl_str_mv Escola Superior de Agricultura "Luiz de Queiroz"
dc.source.none.fl_str_mv Scientia Agricola v.64 n.5 2007
reponame:Scientia Agrícola (Online)
instname:Universidade de São Paulo (USP)
instacron:USP
instname_str Universidade de São Paulo (USP)
instacron_str USP
institution USP
reponame_str Scientia Agrícola (Online)
collection Scientia Agrícola (Online)
repository.name.fl_str_mv Scientia Agrícola (Online) - Universidade de São Paulo (USP)
repository.mail.fl_str_mv scientia@usp.br||alleoni@usp.br
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