Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region
Autor(a) principal: | |
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Data de Publicação: | 2005 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da FIOCRUZ (ARCA) |
Texto Completo: | https://www.arca.fiocruz.br/handle/icict/593 |
Resumo: | Environmental phenomena often generate complex data which are not only multivariate , but where spatial structure and dependency may also be important. One potential area of interest is that of identifying combinations of variables which exhibit distinctive spatial structure in a set of multivariate and geographically indexed observations, e.g. long, as opposed to short, range spatial contiguity. Such components may serve not only to characterize the main determinants in the geographical distribution of a set of environmental measurements , but may also provide useful insight into the physical or environmental processes underlying and goverming that distribution. This article suggests one form of multivariate technique which may be useful in such a context. We demonstrate the method in relation to data comprising measures of various heavy metals in sediments in a Brazilian coastal region. |
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Bailey, Trevor C.Barcellos, Christovam de CastroKrzanowski, W. J.2010-08-23T16:58:29Z2010-11-04T14:20:06Z2010-08-23T16:58:29Z2010-11-04T14:20:06Z2005BAILEY, T. C.; BARCELLOS, C.; KRZANOWSKI, W. J. Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region. Environmetrics, London, v. 16, p. 563-572, 2005.1099-095X.https://www.arca.fiocruz.br/handle/icict/59310.1002/env.708Environmental phenomena often generate complex data which are not only multivariate , but where spatial structure and dependency may also be important. One potential area of interest is that of identifying combinations of variables which exhibit distinctive spatial structure in a set of multivariate and geographically indexed observations, e.g. long, as opposed to short, range spatial contiguity. Such components may serve not only to characterize the main determinants in the geographical distribution of a set of environmental measurements , but may also provide useful insight into the physical or environmental processes underlying and goverming that distribution. This article suggests one form of multivariate technique which may be useful in such a context. We demonstrate the method in relation to data comprising measures of various heavy metals in sediments in a Brazilian coastal region.Department of Mathematical Sciences, University of Exeter,U.KFundação Oswaldo Cruz, Rio de Janeiro, BrasilDepartment of Mathematical Sciences, University of Exeter,U.KengJohn Wiley & Sons, Ltd.multivariate spatial analysisspatial factorsenvironmental statisticsheavy metalsUse of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal regioninfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZTEXTBarcellos_Use of spatial.pdf.txtBarcellos_Use of spatial.pdf.txtExtracted texttext/plain10https://www.arca.fiocruz.br/bitstream/icict/593/5/Barcellos_Use%20of%20spatial.pdf.txt2c6eb67c8897d916ae47524b1a844d3fMD55LICENSElicense.txttext/plain1842https://www.arca.fiocruz.br/bitstream/icict/593/2/license.txt2679881b9b25df7d4936313ecdd9abbfMD52ORIGINALBarcellos_Use of spatial.pdfapplication/pdf417467https://www.arca.fiocruz.br/bitstream/icict/593/3/Barcellos_Use%20of%20spatial.pdf2aa29c960a14ac98bb45b80a6b3d7290MD53THUMBNAILBarcellos_Use of spatial.pdf.jpgBarcellos_Use of spatial.pdf.jpgGenerated Thumbnailimage/jpeg1831https://www.arca.fiocruz.br/bitstream/icict/593/4/Barcellos_Use%20of%20spatial.pdf.jpg746cc238e21131ed2b39a0932bf1771eMD54icict/5932018-04-02 08:29:43.587oai:www.arca.fiocruz.br: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ório InstitucionalPUBhttps://www.arca.fiocruz.br/oai/requestrepositorio.arca@fiocruz.bropendoar:21352018-04-02T11:29:43Repositório Institucional da FIOCRUZ (ARCA) - Fundação Oswaldo Cruz (FIOCRUZ)false |
dc.title.pt_BR.fl_str_mv |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
title |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
spellingShingle |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region Bailey, Trevor C. multivariate spatial analysis spatial factors environmental statistics heavy metals |
title_short |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
title_full |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
title_fullStr |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
title_full_unstemmed |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
title_sort |
Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region |
author |
Bailey, Trevor C. |
author_facet |
Bailey, Trevor C. Barcellos, Christovam de Castro Krzanowski, W. J. |
author_role |
author |
author2 |
Barcellos, Christovam de Castro Krzanowski, W. J. |
author2_role |
author author |
dc.contributor.author.fl_str_mv |
Bailey, Trevor C. Barcellos, Christovam de Castro Krzanowski, W. J. |
dc.subject.other.pt_BR.fl_str_mv |
multivariate spatial analysis spatial factors environmental statistics heavy metals |
topic |
multivariate spatial analysis spatial factors environmental statistics heavy metals |
description |
Environmental phenomena often generate complex data which are not only multivariate , but where spatial structure and dependency may also be important. One potential area of interest is that of identifying combinations of variables which exhibit distinctive spatial structure in a set of multivariate and geographically indexed observations, e.g. long, as opposed to short, range spatial contiguity. Such components may serve not only to characterize the main determinants in the geographical distribution of a set of environmental measurements , but may also provide useful insight into the physical or environmental processes underlying and goverming that distribution. This article suggests one form of multivariate technique which may be useful in such a context. We demonstrate the method in relation to data comprising measures of various heavy metals in sediments in a Brazilian coastal region. |
publishDate |
2005 |
dc.date.issued.fl_str_mv |
2005 |
dc.date.accessioned.fl_str_mv |
2010-08-23T16:58:29Z 2010-11-04T14:20:06Z |
dc.date.available.fl_str_mv |
2010-08-23T16:58:29Z 2010-11-04T14:20:06Z |
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.citation.fl_str_mv |
BAILEY, T. C.; BARCELLOS, C.; KRZANOWSKI, W. J. Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region. Environmetrics, London, v. 16, p. 563-572, 2005. |
dc.identifier.uri.fl_str_mv |
https://www.arca.fiocruz.br/handle/icict/593 |
dc.identifier.issn.pt_BR.fl_str_mv |
1099-095X. |
dc.identifier.doi.pt_BR.fl_str_mv |
10.1002/env.708 |
identifier_str_mv |
BAILEY, T. C.; BARCELLOS, C.; KRZANOWSKI, W. J. Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region. Environmetrics, London, v. 16, p. 563-572, 2005. 1099-095X. 10.1002/env.708 |
url |
https://www.arca.fiocruz.br/handle/icict/593 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.publisher.none.fl_str_mv |
John Wiley & Sons, Ltd. |
publisher.none.fl_str_mv |
John Wiley & Sons, Ltd. |
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