Spatial and Spatio-Temporal Geostatistical Modeling and Kriging, Fernandez-Avile G., Montero Jos? M., Fern?ndez-Avil? G.
Автор: Deutsch Clayton V., Pyrcz Michael J. Название: Geostatistical Reservoir Modeling ISBN: 0199731446 ISBN-13(EAN): 9780199731442 Издательство: Oxford Academ Рейтинг: Цена: 15206.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.
Описание: This volume provides a brief review of the previous work on model reduction and identification of DPS, and develops new spatio-temporal models and their relevant identification approaches. All modeling approaches are applied to industrial thermal processes.
Описание: The power engineering domain is facing huge challenges, with an increasing interest in intermittent renewable energies which are imposing major technical limitations. Operating ever closer to their limits, the industry-standard AC power grids are subject to instabilities.
Автор: Mateu Название: Geostatistical Functional Data Analysis ISBN: 1119387841 ISBN-13(EAN): 9781119387848 Издательство: Wiley Рейтинг: Цена: 15674.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This book presents a unified approach to modelling functional data when spatial and spatio-temporal correlations are present. The editors link together for the first time the wide research areas of geostatistics and functional data analysis to provide the reader with a new area called geostatistical functional data analysis that will bring new insights and new open questions to researchers coming from both scientific fields.
Leading experts in the field, the Editors have put together a collection of chapters covering state-of-the-art methods in this area. The individual chapters combine formal statements of the results including mathematical proofs with informal and na ve statements of classical and new results.This book serves the scientific community to know what has been done so far, and to know what type of open questions need of future answers.
After an introduction and brief overview, the book includes the following:
A detailed exposition of the spatial kriging methodology when dealing with functions.
A detailed exposition of more classical statistical techniques already adapted to the functional case and now extended in the right way to handle spatial correlations. Learning ANOVA, regression, clustering methods is crucial for a correct use of the statistical methods when the spatial correlation is present among a collection of curves sampled in a region.
A thorough guide to understanding similarities and differences between spatio-temporal data analysis and functional data analysis. The reader will be guided in terms of modelling and computational issues.
The information here allows the reader not only to fully understand kriging methods, but to use the most innovative functional methods adapted to spatially correlated functions, to deal with spatio-temporal datasets from a functional perspective, and to being able to handle massive databases from a more computational perspective. This book provides a complete an up-to-date account to deal with functional data that is spatially correlated, but also includes the most innovative developments in different open avenues in this field.
Автор: Marta Blangiardo,Michela Cameletti Название: Spatial and Spatio–temporal Bayesian Models with R – INLA ISBN: 1118326555 ISBN-13(EAN): 9781118326558 Издательство: Wiley Рейтинг: Цена: 9496.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Spatial and Spatio-Temporal Bayesian Models with R-INLA provides a much needed, practically oriented & innovative presentation of the combination of Bayesian methodology and spatial statistics.
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