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	Provedor de dados REA (1) Rev. Bras. Ciênc. Solo (1) Autor Borssoi,Joelmir A. (1) Borssoi,Joelmir André (1) Dalposso,Gustavo H. (1) Galea Rojas,Manuel (1) Johann,Jerry A. (1) Mercante,Erivelto (1) Uribe-Opazo,Miguel A. (1) Uribe-Opazo,Miguel Angel (1) Mais... Palavra-chave Local influence (2) Confusion matrix (1) Error matrix (1) Maximum likelihood (1) Restricted maximum likelihood (1) Tipo do documento Info:eu-repo/semantics/article (2) Ano 2012 (1) 2009 (1) País Brazil (2) Idioma Inglês (2)		Ordenar por:  Relevância Autor Título Ano Registros recuperados: 2 Primeira ... 1 ... Última Comparison measures of maps generated by geostatistical methods REA Dalposso,Gustavo H.; Uribe-Opazo,Miguel A.; Mercante,Erivelto; Johann,Jerry A.; Borssoi,Joelmir A.. This study uses several measures derived from the error matrix for comparing two thematic maps generated with the same sample set. The reference map was generated with all the sample elements and the map set as the model was generated without the two points detected as influential by the analysis of local influence diagnostics. The data analyzed refer to the wheat productivity in an agricultural area of 13.55 ha considering a sampling grid of 50 x 50 m comprising 50 georeferenced sample elements. The comparison measures derived from the error matrix indicated that despite some similarity on the maps, they are different. The difference between the estimated production by the reference map and the actual production was of 350 kilograms. The same difference... Tipo: Info:eu-repo/semantics/article Palavras-chave: Error matrix; Confusion matrix; Local influence. Ano: 2012 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162012000100018 Diagnostic techniques applied in geostatistics for agricultural data analysis Rev. Bras. Ciênc. Solo Borssoi,Joelmir André; Uribe-Opazo,Miguel Angel; Galea Rojas,Manuel. The structural modeling of spatial dependence, using a geostatistical approach, is an indispensable tool to determine parameters that define this structure, applied on interpolation of values at unsampled points by kriging techniques. However, the estimation of parameters can be greatly affected by the presence of atypical observations in sampled data. The purpose of this study was to use diagnostic techniques in Gaussian spatial linear models in geostatistics to evaluate the sensitivity of maximum likelihood and restrict maximum likelihood estimators to small perturbations in these data. For this purpose, studies with simulated and experimental data were conducted. Results with simulated data showed that the diagnostic techniques were efficient to... Tipo: Info:eu-repo/semantics/article Palavras-chave: Local influence; Maximum likelihood; Restricted maximum likelihood. Ano: 2009 URL: http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-06832009000600005 Registros recuperados: 2 Primeira ... 1 ... Última

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