The cgeostat Software for Analyzing Complex-Valued Random Fields

Abstract

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