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Geostatistics Tria '92: Volume 1 & 2 [Paperback]

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  • Category: Books (Science)
  • ISBN-10:  9401047626
  • ISBN-10:  9401047626
  • ISBN-13:  9789401047623
  • ISBN-13:  9789401047623
  • Publisher:  Springer
  • Publisher:  Springer
  • Binding:  Paperback
  • Binding:  Paperback
  • Pub Date:  01-Feb-2014
  • Pub Date:  01-Feb-2014
  • SKU:  9401047626-11-SPRI
  • SKU:  9401047626-11-SPRI
  • Item ID: 100966912
  • List Price: $109.99
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The contributions in this book were presented at the Fourth International Geostatistics Congress held in Tr?ia, Portugal, in September 1992. They provide a comprehensive account of the current state of the art of geostatistics, including recent theoretical developments and new applications. In particular, readers will find descriptions and applications of the more recent methods of stochastic simulation together with data integration techniques applied to the modelling of hydrocabon reservoirs. In other fields there are stationary and non-stationary geostatistical applications to geology, climatology, pollution control, soil science, hydrology and human sciences. The papers also provide an insight into new trends in geostatistics particularly the increasing interaction with many other scientific disciplines.
This book is a significant reference work for practitioners of geostatistics both in academia and industry.
Theory.- Formatting and Integrating Soft Data: Stochastic Imaging Via the Markov-Bayes Algorithm.- Comparison of Disjunctive Kriging to Generalized Probability Kriging in Application to the Estimation of Simulated and Real Data.- Aggregation in Geostatistical Problems.- Substitution Random Functions.- Towards a Direct Structural Analysis of an IRF-k.- Filtering Non-Linear Functions.- Probability Field Simulation.- Joint Sequential Simulation of MultiGaussian Fields.- Particulate Stack Emissions from Coal Fired Power Stations.- Using the Entropy Statistic to Infer Population Parameters from Spatially Clustered Sampling.- Biased Kriging on the Sphere?.- Multivariate Geostatistics: Beyond Bivariate Moments.- Parametric Surface Estimation.- How Large a Sample Is Needed to Estimate the Regional Variogram Adequately?.- Depth, Dip and Gradient.- Simulation of Random Functions on Large Lattices.- Conditioning a Gaussian Model with Inequalities.- Geostatistics: Roadblocks and Challenges.- RandlS_

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