Lee, Howard, Kemp, Zarine P. (1997) Towards a multiple placement land suitability evaluation framework. In: Kraak, Menno-Jan and Molenaar, Martin and Fendel, E.M., eds. Advances in GIS Research II. . pp. 643-654. Taylor & Francis Ltd ISBN 0-7484-0591-7. (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:18153)
The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. |
Abstract
Land evaluation techniques help decision-makers find sites for locating entities such as public utilities, residential, agricultural, commercial and industrial areas. The suitability of a given site depends upon the relationship of that site with other features or entities in the environment. Location decision making is a vast area where different approaches solve different problems. Land suitability evaluation techniques arguably encompass the most generic approach to location analysis but do not generally consider the placement of more than one new entity at any one time. On the other hand, location-allocation methods are especially suited for multiple placements but require specific mathematical formulations where different circumstances necessitate different constructions. This article highlights the implications of time on multiple placements and the effects of dependencies between newly placed entities. We present a unified framework to clarify these issues and provide a generic approach for problem solving.
Item Type: | Conference or workshop item (Paper) |
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Uncontrolled keywords: | land suitability evaluation; location-allocation; multiple criteria decision making |
Subjects: |
T Technology > T Technology (General) Q Science > QA Mathematics (inc Computing science) > QA 75 Electronic computers. Computer science Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, |
Divisions: | Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing |
Depositing User: | M.A. Ziai |
Date Deposited: | 21 Sep 2009 12:54 UTC |
Last Modified: | 05 Nov 2024 09:54 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/18153 (The current URI for this page, for reference purposes) |
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