PEST: Generation of Random Fields with Spatial Variation
نویسنده
چکیده
PEST is a numerical algorithm developed for the simulation in a rectangular R 2 or R 3 domain of a stochastic, isotropic, scalar eld which is conditioned pointwise to a set of measurements. The eld is characterized by heterogeneity variation described either by a two point covariance function C(r) or semivariogram (r) for pairs of points separated by distance r. Numerical examples using PEST are given and computational issues are discussed.
منابع مشابه
Spatial variability of sunn pest Eurygaster integriceps on Astragallus sp. in overwintering sites using GIS and geostatistical methods
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In order to study the efficacy of Sunn pests' parasitoid flies, four overwintering sites of Sunn pest in Isfahan, including mountains of Kolahghazy, Panjeh, Jozdan and Sacepid were selected and from each site four different elevations were designated as sampling sites. During 1997, at least 6 and, in 1998, three samples were taken at each sampling site. In spring 1998, four wheat and barley f...
متن کاملبررسی میزان کارایی مگس‌های پارازیتویید سن گندم (Diptera, Tachinidae) و آثار کنترل شیمیایی این آفت، بر گونه غالب آنها در اصفهان
In order to study the efficacy of Sunn pests' parasitoid flies, four overwintering sites of Sunn pest in Isfahan, including mountains of Kolahghazy, Panjeh, Jozdan and Sacepid were selected and from each site four different elevations were designated as sampling sites. During 1997, at least 6 and, in 1998, three samples were taken at each sampling site. In spring 1998, four wheat and barley fie...
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