Midlands State University Library

An integrated approach for addressing geographic uncertainty in spatial optimization (Record no. 160610)

MARC details
000 -LEADER
fixed length control field 01755nam a22002297a 4500
003 - CONTROL NUMBER IDENTIFIER
control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221125154753.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 221125b |||||||| |||| 00| 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Wei , Ran
Relator term author
245 ## - TITLE STATEMENT
Title An integrated approach for addressing geographic uncertainty in spatial optimization
Statement of responsibility, etc. created by Ran Wei &Alan T. Murray
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Name of producer, publisher, distributor, manufacturer Taylor and Francis
Date of production, publication, distribution, manufacture, or copyright notice 2012
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
Content type code txt
337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
Media type code n
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Source rdacarrier
Carrier type term volume
Carrier type code nc
440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
Volume/sequential designation Volume , number ,
520 ## - SUMMARY, ETC.
Summary, etc. There exist many facets of error and uncertainty in digital spatial information. As error or uncertainty will not likely ever be completely eliminated, a better understanding of its impacts is necessary. Spatial analytical approaches, in particular, must somehow address data-quality issues. This can range from evaluating impacts of potential data uncertainty in planning processes that make use of methods to devising methods that explicitly account for error/uncertainty. To date, little has been done to structure methods accounting for error. This article develops an integrated approach to address data uncertainty in spatial optimization. We demonstrate that it is possible to characterize uncertainty impacts by constructing and solving a new multi-objective model that explicitly incorporates facets of data uncertainty. Empirical findings indicate that the proposed approaches can be applied to evaluate the impacts of data uncertainty with statistical confidence, which moves beyond popular practices of simulating errors in data.<br/><br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element spatial uncertainty
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element spatial optimization
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element anti-covering location
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Journal Article
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Serial Enumeration / chronology Total Checkouts Full call number Date last seen Copy number Price effective from Koha item type Public note
    Library of Congress Classification     Main Library Main Library - Special Collections 26/02/2013 Vol 26 .No.7-8 pages 1231-1249   G70.2 INT 25/11/2022 SP14366 25/11/2022 Journal Article For Inhouse use only