Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/886765
Registro completo de metadados
Campo DCValorIdioma
dc.contributor.authorVIEIRA, S. R.pt_BR
dc.contributor.authorCARVALHO, J. R. P. dept_BR
dc.contributor.authorCEDDIA, M. C.pt_BR
dc.contributor.authorPAZ GONZÁLEZpt_BR
dc.date.accessioned2011-04-25T11:11:11Zpt_BR
dc.date.available2011-04-25T11:11:11Zpt_BR
dc.date.created2011-04-25pt_BR
dc.date.issued2010pt_BR
dc.identifier.citationBragantia, Campinas, v. 69, p.1-8, 2010.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/886765pt_BR
dc.descriptionThe use of geostatistics requires at least that the intrinsic hypothesis be satisfied. The presence of a trend in the data invalidates this hypothesis. One of the ways of solving this problem is by subtracting a function fitted to the original data and working with the residuals. This technique also represents a change to a smaller scale of the variability and surface roughness. This paper describes the detrending technique of subtracting a trend surface fitted by the least squares method and discusses the results using topographical data as examples. The objective is to show how the detrending technique works for different scales and degrees of trend and how to interpret the results. It is shown that the simplest the surfaces fitted that does the work of removing the trend the best are the results obtained. The use of jack knifing is proved useful to validate the resulting semivariograms. For most of the applications and depending upon the scale, a linear or a parabolic surface works reasonably well. The back transformation of the data afterwards is very easily done by adding back the subtracted trend surface.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectErro reduzidopt_BR
dc.subjectEstacionaridadept_BR
dc.subjectVariação de escalapt_BR
dc.subjectScale of variationpt_BR
dc.subjectStationaritypt_BR
dc.subjectSemivariogramspt_BR
dc.titleDetrending non stationary data for geostatistical applications.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2011-07-08T11:11:11Zpt_BR
dc.subject.thesagroTopografiapt_BR
riaa.ainfo.id886765pt_BR
riaa.ainfo.lastupdate2011-07-08pt_BR
dc.contributor.institutionSIDNEY ROSA VIEIRA, IAC; JOSE RUY PORTO DE CARVALHO, CNPTIA; MARCOS BACIS CEDDIA, UFRRJ; ANTONIO PAZ GONZÁLEZ, Universidade da Coruña, Espanha.pt_BR
Aparece nas coleções:Artigo em periódico indexado (CNPTIA)

Arquivos associados a este item:
Arquivo Descrição TamanhoFormato 
Detrending.pdf3.17 MBAdobe PDFThumbnail
Visualizar/Abrir
Mostrar registro simples do item Visualizar estatísticas

FacebookTwitterDeliciousLinkedInGoogle BookmarksMySpace