Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/886773
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dc.contributor.authorVIEIRA, S. R.pt_BR
dc.contributor.authorCARVALHO, J. R. P. dept_BR
dc.contributor.authorPAZ GONZÁLEZ, A.pt_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. 97-105, 2010pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/886773pt_BR
dc.descriptionThe semivariogram function fitting is the most important aspect of geostatistics and because of this the model chosen must be validated. Jack knifing may be one the most efficient ways for this validation purpose. The objective of this study was to show the use of the jack knifing technique to validate geostatistical hypothesis and semivariogram models. For that purpose, topographical heights data obtained from six distinct field scales and sampling densities were analyzed. Because the topographical data showed very strong trend for all fields as it was verified by the absence of a sill in the experimental semivariograms, the trend was removed with a trend surface fitted by minimum square deviation. Semivariogram models were fitted with different techniques and the results of the jack knifing with them were compared. The jack knifing parameters analyzed were the intercept, slope and correlation coefficient between measured and estimated values, and the mean and variance of the errors calculated by the difference between measured and estimated values, divided by the square root of the estimation variances. The ideal numbers of neighbors used in each estimation was also studied using the jack knifing procedure. The jack knifing results were useful in the judgment of the adequate models fitted independent of the scale and sampling densities. It was concluded that the manual fitted semivariogram models produced better jack knifing parameters because the user has the freedom to choose a better fit in distinct regions of the semivariogram.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectErro reduzidopt_BR
dc.subjectEstacionaridadept_BR
dc.subjectSemivariogramspt_BR
dc.subjectStationaritypt_BR
dc.titleJack knifing for semivariogram validation.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2011-07-08T11:11:11Zpt_BR
dc.subject.thesagroTopografiapt_BR
dc.subject.nalthesaurusTopographypt_BR
dc.description.notesSuplemento.pt_BR
riaa.ainfo.id886773pt_BR
riaa.ainfo.lastupdate2011-07-08pt_BR
dc.contributor.institutionSIDNEY ROSA VIEIRA, IAC; JOSE RUY PORTO DE CARVALHO, CNPTIA; ANTONIO PAZ GONZÁLEZ, Universidade da Coruña, Espanha.pt_BR
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