Studying the influence of a secondary variable in Collocated Cokriging estimates

Anais da Academia Brasileira de Ciências

Marcelo M. Rocha²  Jorge K. Yamamoto²  Jorge Watanabe¹  Priscilla P. Fonseca² 

[1] ,Universidade de São Paulo Instituto de Geociências São Paulo SP ,Brasil

关键词: collocated cokriging;    correlation coefficients;    estimation weights;    Markov Model Estimation;    multivariate geostatistics;    cokrigagem colocalizada;    coeficientes de correlação;    pesos de estimativa;    Modelo de Markov;    geoestatística multivariada;   

DOI  :  10.1590/S0001-37652012005000017

来源: SciELO

【 摘 要 】

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.

【 授权许可】

CC BY   
 All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License