Please use this identifier to cite or link to this item: http://repositorio.ufla.br/jspui/handle/1/45524
Title: Krigagem Simples versus Krigagem Universal: qual o preditor mais preciso?
Other Titles: Simple Kriging versus Universal Kriging: which one is the most accurate predictor?
Keywords: Hierarquização geométrica
Espaços de Hilbert
Simulação estocástica
Geometric hierarchy
Hilbert spaces
Stochastic simulation
Issue Date: Jul-2011
Publisher: Universidade Estadual Paulista “Júlio de Mesquita Filho” - UNESP
Citation: SANTOS, G. R. dos et al. Krigagem Simples versus Krigagem Universal: qual o preditor mais preciso? Revista Energia na Agricultura, Botucatu, v. 26, n. 2, p.49-55, 2011. DOI: https://doi.org/10.17224/EnergAgric.2011v26n2p49-55.
Abstract: The Simple Kriging (SK) is the geostatistical method of prediction which takes the average function of a known stochastic process. The Universal Kriging (UK) is the method for cases in which the stochastic process is not stationary, ie, the process has a trend. The objective of this work was to compare the prediction uncertainty of these two kriging methods, taking the average kriging variance between sample values and predicted values obtained by jackknife. The result was that, although there is a limiting factor in its use (the knowledge of the mean), KS is presented as a more accurate predictor than the KU (result obtained by stochastic simulation).
URI: https://doi.org/10.17224/EnergAgric.2011v26n2p49-55
http://repositorio.ufla.br/jspui/handle/1/45524
Appears in Collections:DEX - Artigos publicados em periódicos

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