Modeling and prediction of multivariate space-time random fields

نویسندگان

  • S. De Iaco
  • M. Palma
  • D. Posa
چکیده

In various environmental studies multivariate spatial–temporal correlated data are involved, hence appropriate techniques to enhance space–time prediction are in great demand. An extension of multivariate spatial geostatistics to a spatio-temporal domain might be a straightforward task; nevertheless, up to now, little has been done in a multivariate spatial–temporal context. Modeling and prediction techniques are described for a multivariate space–time random %eld, moreover some theoretical and practical aspects are investigated for a bivariate space–time random %eld through a case study. c © 2004 Elsevier B.V. All rights reserved.

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عنوان ژورنال:
  • Computational Statistics & Data Analysis

دوره 48  شماره 

صفحات  -

تاریخ انتشار 2005