An edition of Interpolation of spatial data (1999)

Interpolation of spatial data

some theory for kriging

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Last edited by MARC Bot
July 15, 2024 | History
An edition of Interpolation of spatial data (1999)

Interpolation of spatial data

some theory for kriging

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"Kriging, which is the geostatistical term for optimal linear prediction of spatial processes, is widely used in geology, hydrology, environmental monitoring, and other fields to interpolate spatial data. Despite its widespread usage, there is as yet no rigorous theoretical basis for the performance of kriging when some aspect of the dependence structure of the spatial process must be estimated, which is generally the case in practice."--BOOK JACKET.

"Synthesizing past work of the author with many new results, this monograph proposes using fixed-domain asymptotics, in which one considers an increasing number of observations in a fixed and bounded observation domain, as the best way to study kriging. This approach yields an understanding of the critical relationship between the properties of kriging predictors and the local behavior of the spatial process."--BOOK JACKET.

Publish Date
Publisher
Springer
Language
English
Pages
247

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Edition Availability
Cover of: Interpolation of spatial data
Interpolation of spatial data: some theory for kriging
1999, Springer
in English

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Book Details


Edition Notes

Includes bibliographical references (p. [235]-242) and index.

Published in
New York
Series
Springer series in statistics

Classifications

Dewey Decimal Class
622/.1/015195
Library of Congress
TN272.7 .S74 1999, QA1-939

The Physical Object

Pagination
xvii, 247 p. :
Number of pages
247

ID Numbers

Open Library
OL382385M
ISBN 10
0387986294
LCCN
98044772
OCLC/WorldCat
40051990
Library Thing
3621592
Goodreads
50708

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July 15, 2024 Edited by MARC Bot import existing book
October 5, 2021 Edited by ImportBot import existing book
April 28, 2010 Edited by Open Library Bot Linked existing covers to the work.
February 1, 2010 Edited by WorkBot add more information to works
December 9, 2009 Created by WorkBot add works page