Studying the influence of a secondary variable in Collocated Cokriging estimates
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| Format: | Artículo científico |
| Language: | en |
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Academia Brasileira de Ciências
2012
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| _version_ | 1876428633560580096 |
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| author | Marcelo M. Rocha |
| author_facet | Marcelo M. Rocha |
| contents | Studying the influence of a secondary variable in Collocated Cokriging estimates Marcelo M. Rocha Jorge K. Yamamoto Jorge Watanabe Priscilla P. Fonseca Multidisciplinaria (Ciencias Naturales y Exactas) estimation weights collocated cokriging Markov Model Estimation correlation coefficients multivariate geostatistics In this paper the influence of a secondary variable as a function of the correlation with the primary variable for collocated cokriging is examined. For this study five exhaustive data sets were generated in computer, from which samples with 60 and 104 data points were drawn using the stratified random sampling method. These exhaustive data sets were generated departing from a pair of primary and secondary variables showing a good correlation. Then successive sets were generated by adding an amount of white noise in such a way that the correlation gets poorer. Using these samples, it was possible to find out how primary and secondary information is used to estimate an unsampled location according to the correlation level. 2012 artículo científico 0001-3765 https://www.redalyc.org/articulo.oa?id=32722628005 en http://www.redalyc.org/revista.oa?id=327 Anais da Academia Brasileira de Ciências application/pdf Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências (Brasil) Num.2 Vol.84 |
| format | Artículo científico |
| id | redalyc_32722628005 |
| institution | Redalyc |
| language | en |
| publishDate | 2012 |
| publisher | Academia Brasileira de Ciências |
| spellingShingle | Studying the influence of a secondary variable in Collocated Cokriging estimates Marcelo M. Rocha Multidisciplinaria (Ciencias Naturales y Exactas) estimation weights collocated cokriging Markov Model Estimation correlation coefficients multivariate geostatistics Studying the influence of a secondary variable in Collocated Cokriging estimates Marcelo M. Rocha Jorge K. Yamamoto Jorge Watanabe Priscilla P. Fonseca Multidisciplinaria (Ciencias Naturales y Exactas) estimation weights collocated cokriging Markov Model Estimation correlation coefficients multivariate geostatistics In this paper the influence of a secondary variable as a function of the correlation with the primary variable for collocated cokriging is examined. For this study five exhaustive data sets were generated in computer, from which samples with 60 and 104 data points were drawn using the stratified random sampling method. These exhaustive data sets were generated departing from a pair of primary and secondary variables showing a good correlation. Then successive sets were generated by adding an amount of white noise in such a way that the correlation gets poorer. Using these samples, it was possible to find out how primary and secondary information is used to estimate an unsampled location according to the correlation level. 2012 artículo científico 0001-3765 https://www.redalyc.org/articulo.oa?id=32722628005 en http://www.redalyc.org/revista.oa?id=327 Anais da Academia Brasileira de Ciências application/pdf Academia Brasileira de Ciências Anais da Academia Brasileira de Ciências (Brasil) Num.2 Vol.84 |
| title | Studying the influence of a secondary variable in Collocated Cokriging estimates |
| topic | Multidisciplinaria (Ciencias Naturales y Exactas) estimation weights collocated cokriging Markov Model Estimation correlation coefficients multivariate geostatistics |
| url | https://www.redalyc.org/articulo.oa?id=32722628005 |