Use of spatial factors in the analysis of heavy metals in sediments in a Brazilian coastal region

Detalhes bibliográficos
Autor(a) principal: Bailey, Trevor C.
Data de Publicação: 2005
Outros Autores: Barcellos, Christovam de Castro, Krzanowski, W. J.
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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spelling 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:icict/593TGljZW5zZSBncmFudGVkIGJ5IEJhcnJhZGFzIENsw6lhIE1hcmEgKG1hcmFjbGVhQGhvdG1haWwuY29tKSBvbiAyMDA5LTA4LTA3VDE0OjU4OjMxWiAoR01UKToKCk5PVEU6IFBMQUNFIFlPVVIgT1dOIExJQ0VOU0UgSEVSRQpUaGlzIHNhbXBsZSBsaWNlbnNlIGlzIHByb3ZpZGVkIGZvciBpbmZvcm1hdGlvbmFsIHB1cnBvc2VzIG9ubHkuCgpOT04tRVhDTFVTSVZFIERJU1RSSUJVVElPTiBMSUNFTlNFCgpCeSBzaWduaW5nIGFuZCBzdWJtaXR0aW5nIHRoaXMgbGljZW5zZSwgeW91ICh0aGUgYXV0aG9yKHMpIG9yIGNvcHlyaWdodApvd25lcikgZ3JhbnRzIHRvIERTcGFjZSBVbml2ZXJzaXR5IChEU1UpIHRoZSBub24tZXhjbHVzaXZlIHJpZ2h0IHRvIHJlcHJvZHVjZSwKdHJhbnNsYXRlIChhcyBkZWZpbmVkIGJlbG93KSwgYW5kL29yIGRpc3RyaWJ1dGUgeW91ciBzdWJtaXNzaW9uIChpbmNsdWRpbmcKdGhlIGFic3RyYWN0KSB3b3JsZHdpZGUgaW4gcHJpbnQgYW5kIGVsZWN0cm9uaWMgZm9ybWF0IGFuZCBpbiBhbnkgbWVkaXVtLAppbmNsdWRpbmcgYnV0IG5vdCBsaW1pdGVkIHRvIGF1ZGlvIG9yIHZpZGVvLgoKWW91IGFncmVlIHRoYXQgRFNVIG1heSwgd2l0aG91dCBjaGFuZ2luZyB0aGUgY29udGVudCwgdHJhbnNsYXRlIHRoZQpzdWJtaXNzaW9uIHRvIGFueSBtZWRpdW0gb3IgZm9ybWF0IGZvciB0aGUgcHVycG9zZSBvZiBwcmVzZXJ2YXRpb24uCgpZb3UgYWxzbyBhZ3JlZSB0aGF0IERTVSBtYXkga2VlcCBtb3JlIHRoYW4gb25lIGNvcHkgb2YgdGhpcyBzdWJtaXNzaW9uIGZvcgpwdXJwb3NlcyBvZiBzZWN1cml0eSwgYmFjay11cCBhbmQgcHJlc2VydmF0aW9uLgoKWW91IHJlcHJlc2VudCB0aGF0IHRoZSBzdWJtaXNzaW9uIGlzIHlvdXIgb3JpZ2luYWwgd29yaywgYW5kIHRoYXQgeW91IGhhdmUKdGhlIHJpZ2h0IHRvIGdyYW50IHRoZSByaWdodHMgY29udGFpbmVkIGluIHRoaXMgbGljZW5zZS4gWW91IGFsc28gcmVwcmVzZW50CnRoYXQgeW91ciBzdWJtaXNzaW9uIGRvZXMgbm90LCB0byB0aGUgYmVzdCBvZiB5b3VyIGtub3dsZWRnZSwgaW5mcmluZ2UgdXBvbgphbnlvbmUncyBjb3B5cmlnaHQuCgpJZiB0aGUgc3VibWlzc2lvbiBjb250YWlucyBtYXRlcmlhbCBmb3Igd2hpY2ggeW91IGRvIG5vdCBob2xkIGNvcHlyaWdodCwKeW91IHJlcHJlc2VudCB0aGF0IHlvdSBoYXZlIG9idGFpbmVkIHRoZSB1bnJlc3RyaWN0ZWQgcGVybWlzc2lvbiBvZiB0aGUKY29weXJpZ2h0IG93bmVyIHRvIGdyYW50IERTVSB0aGUgcmlnaHRzIHJlcXVpcmVkIGJ5IHRoaXMgbGljZW5zZSwgYW5kIHRoYXQKc3VjaCB0aGlyZC1wYXJ0eSBvd25lZCBtYXRlcmlhbCBpcyBjbGVhcmx5IGlkZW50aWZpZWQgYW5kIGFja25vd2xlZGdlZAp3aXRoaW4gdGhlIHRleHQgb3IgY29udGVudCBvZiB0aGUgc3VibWlzc2lvbi4KCklGIFRIRSBTVUJNSVNTSU9OIElTIEJBU0VEIFVQT04gV09SSyBUSEFUIEhBUyBCRUVOIFNQT05TT1JFRCBPUiBTVVBQT1JURUQKQlkgQU4gQUdFTkNZIE9SIE9SR0FOSVpBVElPTiBPVEhFUiBUSEFOIERTVSwgWU9VIFJFUFJFU0VOVCBUSEFUIFlPVSBIQVZFCkZVTEZJTExFRCBBTlkgUklHSFQgT0YgUkVWSUVXIE9SIE9USEVSIE9CTElHQVRJT05TIFJFUVVJUkVEIEJZIFNVQ0gKQ09OVFJBQ1QgT1IgQUdSRUVNRU5ULgoKRFNVIHdpbGwgY2xlYXJseSBpZGVudGlmeSB5b3VyIG5hbWUocykgYXMgdGhlIGF1dGhvcihzKSBvciBvd25lcihzKSBvZiB0aGUKc3VibWlzc2lvbiwgYW5kIHdpbGwgbm90IG1ha2UgYW55IGFsdGVyYXRpb24sIG90aGVyIHRoYW4gYXMgYWxsb3dlZCBieSB0aGlzCmxpY2Vuc2UsIHRvIHlvdXIgc3VibWlzc2lvbi4KRepositório 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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