caa a22 4500 469064900 CHVBK 20180323132905.0 cr unu---uuuuu 170328e19920701xx s 000 0 eng 10.1007/BF00890533 doi (NATIONALLICENCE)springer-10.1007/BF00890533 A non-parametric bivariate entropy estimator for spatial processes [Elektronische Daten] [Mario Rossi, Donato Posa] In this paper, entropy is presented as an alternative measure to characterize the bivariate distribution of a stationary spatial process. This non-parametric estimator attempts to quantify the concept of spatial ordering, and it provides a measure of how Gaussian the experimental bivariate distribution is. The concept of entropy is explained and the classical definition presented, along with some important results. In particular, the reader is reminded that, for a known mean and covariance, the bivariate Gaussian distribution maximizes entropy. A "relative entropy” estimator is introduced in order to measure departure of an experimental bivariate distribution from the bivariate Gaussian. Two case studies are presented as examples. International Association for Mathematical Geology, 1992 entropy nationallicence spatial disorder nationallicence bivariate Gaussian distribution nationallicence maximum entropy nationallicence non-parametric relative entropy estimator nationallicence Rossi Mario Fluor Daniel, Inc., 10 Twin Dolphin Drive, 94065, Redwood City, California aut Posa Donato IRMA-CNR, Bari, Italy aut Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/5(1992-07-01), 539-553 0882-8121 24:5<539 1992 24 11004 https://doi.org/10.1007/BF00890533 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00890533 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Rossi Mario Fluor Daniel, Inc., 10 Twin Dolphin Drive, 94065, Redwood City, California aut NATIONALLICENCE 700 1- Posa Donato IRMA-CNR, Bari, Italy aut NATIONALLICENCE 773 0- Mathematical Geology Kluwer Academic Publishers-Plenum Publishers 24/5(1992-07-01), 539-553 0882-8121 24:5<539 1992 24 11004 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer