Modelling air temperature for the state of São Paulo, Brazil
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | , , , |
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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Scientia Agrícola (Online) |
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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 |
_version_ |
1748936460586713088 |