Midlands State University Library

Intentional actions, plans, and information systems (Record no. 160747)

MARC details
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fixed length control field 01969nam a22002417a 4500
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control field ZW-GwMSU
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221209152059.0
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040 ## - CATALOGING SOURCE
Original cataloging agency MSU
Transcribing agency MSU
Description conventions rda
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Kaza, Nikhil
Relator term author
245 10 - TITLE STATEMENT
Title Intentional actions, plans, and information systems
Statement of responsibility, etc. created by Nikhil Kaza & Lewis D. Hopkins
264 ## - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE
Place of production, publication, distribution, manufacture Champaign:
Name of producer, publisher, distributor, manufacturer Taylor & Francis,
Date of production, publication, distribution, manufacture, or copyright notice 2011.
336 ## - CONTENT TYPE
Source rdacontent
Content type term text
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337 ## - MEDIA TYPE
Source rdamedia
Media type term unmediated
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440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE
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Summary, etc. <br/><br/>If urban development plans were just target patterns to be achieved, conventional data structures in Geographic information systems (GIS) would be sufficient. Urban development plans have a strong spatial component, but recent literature in planning emphasizes that plans are about actions and relationships among them. These relationships include interdependence, substitutability, priority, and parthood. In order to support planning, GIScience should devise data structures and queries to support reasoning with these relationships. This article shows how relationships encoded within each of a set of plans, using a recently developed data model, can be used to infer the relationships of actions among these plans. Simple databases and use cases based on real situations in McHenry County, Illinois are used to demonstrate that these relationships can be encoded and queried. The results demonstrate that previously discovered semantic relationships can be used to discover additional relationships across plans, thereby enriching the decision making. The approach provides a systematic way of structuring the information in plans to support making and using plans.<br/><br/><br/><br/> <br/><br/><br/><br/> <br/><br/> <br/><br/> <br/><br/><br/> <br/> <br/><br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element plans
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element planning support systems
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element substitutability
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1080/13658816.2011.603337
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 20/02/2013 Vol 26 Nos 3-4 pages 557-576   G70.2 INT 09/12/2022 SP14364 09/12/2022 Journal Article For in-house use only