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A heuristic for the maximum value region problem in raster space
KTH, School of Architecture and the Built Environment (ABE), Urban Planning and Environment. Vienna University of Technology, Austria.ORCID iD: 0000-0001-5572-7395
2011 (English)In: International Journal of Geographical Information Science, ISSN 1365-8816, E-ISSN 1365-8824, Vol. 25, no 7, 1097-1116 p.Article in journal (Refereed) Published
Abstract [en]

From a single-attribute raster layer in which each cell is assigned a numerical value, a connected set of a specified number of cells that has the maximum (or minimum) total value is selected. This is a highly common decision problem in the context of raster-based geographic information systems (GIS) and seems general enough to deserve inclusion in the standard functionality of such systems. Yet it is a computationally difficult optimization problem, for which no efficient exact solution method has been found. This article presents a new dynamic programming-based heuristic method for the problem. Its performance is tested with randomly generated raster layers with various degrees of spatial autocorrelation. Results suggest that the proposed heuristic is a promising alternative to the existing integer programming-based exact method, as it can handle significantly larger raster data with fair accuracy.

Place, publisher, year, edition, pages
Taylor & Francis, 2011. Vol. 25, no 7, 1097-1116 p.
Keyword [en]
decision-support system, landscape ecology, field-object representation, raster data modeling
National Category
Geophysical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-48529DOI: 10.1080/13658816.2010.513686ISI: 000295467600004Scopus ID: 2-s2.0-79961215661OAI: oai:DiVA.org:kth-48529DiVA: diva2:457969
Note

QC 20111121

Available from: 2011-11-21 Created: 2011-11-21 Last updated: 2017-12-08Bibliographically approved

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Shirabe, Takeshi

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf