Last edited by Fegrel
Thursday, July 30, 2020 | History

2 edition of Modern spatiotemporal geostatistics found in the catalog.

Modern spatiotemporal geostatistics

George Christakos

Modern spatiotemporal geostatistics

by George Christakos

  • 112 Want to read
  • 24 Currently reading

Published by Dover Publications in Mineola, N.Y .
Written in English

    Subjects:
  • Statistical methods,
  • Bayesian statistical decision theory,
  • Maximum entropy method,
  • Earth sciences,
  • SCIENCE / Earth Sciences / Geology

  • Edition Notes

    StatementGeorge Christakos
    SeriesDover earth science
    Classifications
    LC ClassificationsQE33.2.S82 .C47 2012
    The Physical Object
    Paginationp. cm.
    ID Numbers
    Open LibraryOL25202618M
    ISBN 100486488187
    ISBN 109780486488189
    LC Control Number2011053378

    Modern Spatiotemporal Geostatistics 作者: Christakos, George 出版年: 页数: 定价: $ ISBN: 豆瓣评分. Kitanidis, P.K. () Introduction to geostatistics: applications in hydrology. Goovaerts, Pierre () Geostatistics for Natural Resourc e Evaluation. Olea, R. A. () Geostatistics for Engineers and Earth Scientists. Christakos, G () Modern Spatiotemporal Geostatistics.

    , Christakos, George (Auth),"Modern Spatiotemporal Geostatistics", Natural Resources Resea ; , Stein, Micheal L.(Auth)"Interpola tion of Spatial Data:Some Theory for Kriging", Int. J. Geographical Informat\ ion Scie Emmanouil A. Varouchakis, in Spatiotemporal Analysis of Extreme Hydrological Events, Abstract. Geostatistics has been well established and developed during the last three decades and is widely applied in environmental research and technology. Geostatistics is a subdiscipline of spatial statistics. It includes a set of statistical methods that concern random variables with spatial and/or.

    Modern Spatiotemporal Geostatistics by George Christakos avg rating — 0 ratings — published — 6 editions. In spatiotemporal regression kriging the estimate of the head, groundwater level, is expressed as: () Z ˆ (s 0, t 0) = m Z (s 0, t 0) + Z ˆ ′ (s 0, t 0), where m Z (s 0, t 0) is the estimated trend function and Z ˆ ′ (s 0, t 0) is the interpolated residual by means of STOK (Hengl, ). 3. Spatiotemporal Prediction of Groundwater Level Data in Mires Basin, Crete, GreeceAuthor: Emmanouil A. Varouchakis.


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Modern spatiotemporal geostatistics by George Christakos Download PDF EPUB FB2

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This book, therefore, is an introduction to the fundamentals of modern geostatistics, which is a group of spatiotemporal concepts and methods that are the products of the 4/5(1). This book, therefore, is an introduction to the fundamentals of modern geostatistics, which is a group of spatiotemporal concepts and methods that are the products of the advancement of the epistemic status of stochastic data by: Modern Spatiotemporal Geostatistics (Dover Earth Science) and millions of other books are available for Amazon Kindle.

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The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that offers readers a deeper understanding of the role of geostatistics in improved mathematical models of scientific : Dover Publications.

Description: This scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis.

The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that.

PDF | On Dec 1,Donald E. Myers and others published Book Review: Modern Spatiotemporal Geostatistics. Christakos | Find, read and cite all the research you need on ResearchGate. Get this from a library. Modern spatiotemporal geostatistics.

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The book's main focus is the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables, an approach that offers readers a deeper understanding of the role of geostatistics in improved mathematical models of scientific mapping.

Modern Spatiotemporal Geostatistics. Author: George Christakos Editor: Courier This scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis.

The book's main focus is the Bayesian maximum entropy approach for. Modern Spatiotemporal Geostatistics. Book Review: Modern Spatiotemporal Geostatistics. An important task in modern geostatistics is the assessment and quantification of resource and.

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Modern Spatiotemporal Geostatistics. por George Christakos. Dover Earth Brand: Dover Publications. Modern Spatiotemporal Geostatistics GEORGE CHRISTAKOS It is widely recognized that the techniques of classical geostatistics, which have been used for several decades, have reached their limit, and the time has come for some alternative approaches to be given a chance.

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☯ Full Synopsis: "This scholarly introductory treatment explores the fundamentals of modern geostatistics, viewing them as the product of the advancement of the epistemic status of stochastic data analysis.

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Modern Spatiotemporal Geostatistics Scholarly introductory treatment explores the role of modern geostatistics in improved mathematical models of scientific mapping, focusing on the Bayesian maximum entropy approach for studying spatiotemporal distributions of natural variables.

: Dover Publications.