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The cgeostat Software for Analyzing Complex-Valued Random Fields
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DOI：10.18637/jss.v079.i05.png)
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Abstract
En 中文
Given a vectorial data set in two dimensions, a representation on a complex domain is often convenient. This representation is rarely considered in geostatistics, although interesting applications can be found in environmental sciences and meteorology (e.g., for wind fields). In such a case, some computational difficulties are related to the lack of software for estimating and modeling a complex covariance function, for predicting complex variables as well as for representing the output results. In this paper, the new Fortran software cgeostat for geostatistical analysis of complex-valued random fields is presented and an application is demonstrated.
Keywords:
complex variables
bivariate random fields
complex representation
complex covariance function
prediction algorithm
GSLib
Journal
IF:
8.1
Papers:
622
Citations:
4.6W