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Optimization of second-phase spatial...

Delmelle, Eric.

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Optimization of second-phase spatial sampling using auxiliary information.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Optimization of second-phase spatial sampling using auxiliary information./
Author:	Delmelle, Eric.
Description:	163 p.
Notes:	Source: Dissertation Abstracts International, Volume: 66-08, Section: A, page: 3047.
Contained By:	Dissertation Abstracts International66-08A.
Subject:	Geography. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3185325
ISBN:	9780542276071

Optimization of second-phase spatial sampling using auxiliary information.
Delmelle, Eric.

Optimization of second-phase spatial sampling using auxiliary information. - 163 p.

Source: Dissertation Abstracts International, Volume: 66-08, Section: A, page: 3047.

Thesis (Ph.D.)--State University of New York at Buffalo, 2005.

In spatial sampling, once initial samples of the primary variable have been collected, it is possible to take additional measurements at other locations, an approach known as second-phase sampling. In this dissertation, the use of covariates to optimize the configuration of a second-phase sampling scheme is suggested, reducing the sampling cost and effort. Usually, the set of additional samples is collected where the kriging variance is maximum. However, the prediction error is independent of data values and assumes a stationary spatial process, an assumption violated in practice. A more intelligent approach consists of combining the prediction error with other criteria, giving greater importance to locations where the primary variable shows greater spatial variation, and where the spatial information provided by auxiliary variables is limited. There is indeed little incentive to take additional samples where secondary variables can predict the value of the primary variable with great confidence. Once the problem has been formulated, known heuristic methods can be used to solve the problem in a timely manner, avoiding total enumeration.

ISBN: 9780542276071Subjects--Topical Terms:

524010
Geography.

Optimization of second-phase spatial sampling using auxiliary information.
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100 1 $a Delmelle, Eric. $3 1914876
245 1 0 $a Optimization of second-phase spatial sampling using auxiliary information.
300 $a 163 p.
500 $a Source: Dissertation Abstracts International, Volume: 66-08, Section: A, page: 3047.
500 $a Major Professor: Peter A. Rogerson.
502 $a Thesis (Ph.D.)--State University of New York at Buffalo, 2005.
520 $a In spatial sampling, once initial samples of the primary variable have been collected, it is possible to take additional measurements at other locations, an approach known as second-phase sampling. In this dissertation, the use of covariates to optimize the configuration of a second-phase sampling scheme is suggested, reducing the sampling cost and effort. Usually, the set of additional samples is collected where the kriging variance is maximum. However, the prediction error is independent of data values and assumes a stationary spatial process, an assumption violated in practice. A more intelligent approach consists of combining the prediction error with other criteria, giving greater importance to locations where the primary variable shows greater spatial variation, and where the spatial information provided by auxiliary variables is limited. There is indeed little incentive to take additional samples where secondary variables can predict the value of the primary variable with great confidence. Once the problem has been formulated, known heuristic methods can be used to solve the problem in a timely manner, avoiding total enumeration.
590 $a School code: 0656.
650 4 $a Geography. $3 524010
650 4 $a Statistics. $3 517247
650 4 $a Operations Research. $3 626629
690 $a 0366
690 $a 0463
690 $a 0796
710 2 0 $a State University of New York at Buffalo. $3 1017814
773 0 $t Dissertation Abstracts International $g 66-08A.
790 1 0 $a Rogerson, Peter A., $e advisor
790 $a 0656
791 $a Ph.D.
792 $a 2005
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3185325