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The cgeostat software for analyzing complex-valued random fields
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نویسنده
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de iaco s.
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منبع
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journal of statistical software - 2017 - دوره : 79 - شماره : 0
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چکیده
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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. © 2017,american statistical association. all rights reserved.
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کلیدواژه
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Bivariate random fields; Complex covariance function; Complex representation; Complex variables; GSLib; Prediction algorithm
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آدرس
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department of management,economics,mathematics and statistics,università del salento,lecce,73100, Italy
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Authors
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