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Compactness in spatial decision support: A literature review

  • Pablo Vanegas
  • , Dirk Cattrysse
  • , Jos Van Orshoven
  • KU Leuven

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

6 Scopus citations

Abstract

The development of Spatial Decision Support Systems (SDSSs) which explicitly consider spatial relations has had a significant growth over recent years. The main intention of this paper is reviewing spatial optimization approaches for identifying contiguous and compact areas fulfilling particular criteria. These approaches explicitly consider topological spatial relations between geographical entities (cells, lines, points, areas). In this direction, spatial optimization techniques as heuristics, meta-heuristics, and mathematical programming are reviewed. Since the application fields, the nature of the approaches, the data format, and the size of the reviewed works are very diverse, high level comparison is made in order to identify critical issues regarding the identification of contiguous and compact areas in digital geographical information.

Original languageEnglish
Title of host publicationComputational Science and Its Applications - ICCSA 2010 - International Conference, Proceedings
PublisherSpringer Verlag
Pages414-429
Number of pages16
EditionPART 1
ISBN (Print)3642121551, 9783642121555
DOIs
StatePublished - 2010
Event2010 International Conference on Computational Science and Its Applications, ICCSA 2010 - Fukuoka, Japan
Duration: 23 Mar 201026 Mar 2010

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
NumberPART 1
Volume6016 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference2010 International Conference on Computational Science and Its Applications, ICCSA 2010
Country/TerritoryJapan
CityFukuoka
Period23/03/1026/03/10

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