An integrated approach for addressing geographic uncertainty in spatial optimization (Record no. 160610)
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000 -LEADER | |
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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 |
338 ## - CARRIER TYPE | |
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 |
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 |
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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 |