Rules versus hierarchy: an application of fuzzy set theory to the assessment of spatial grouping techniques

Title: Rules versus hierarchy: an application of fuzzy set theory to the assessment of spatial grouping techniques
Creator: Watts, Martin
Relation: Adaptive and Natural Computing Algorithms: 9th International Conference ICANNGA 2009: Revised Selected Papers p. 517-526
Relation: Lecture Notes in Computer Science 5495
Publisher Link: http://dx.doi.org/10.1007/978-3-642-04921-7_53
Publisher: Springer
Resource Type: book chapter
Date: 2009
Description: The geography which underpins the collection of Australian economic and social data is based on administrative areas, rather than having behavioural significance. Within most EU countries Coombes’ rules-based grouping algorithm which uses commuting flow data has been employed to construct Travel to Work Areas, but other approaches including Intramax (a hierarchical technique) have also been utilised. Recent developments in fuzzy set theory have enabled the comparison of the local accuracy of the solutions associated with different grouping methods. This paper will utilise both the Intramax technique and the modified version of Coombes’ updated algorithm to compare the properties of the solutions associated with grouping the Australian Statistical Local Areas using Journey to Work data from the 2006 Census.
Subject: closure; interaction; fuzzy sets; MAUP
Identifier: http://hdl.handle.net/1959.13/917997
Identifier: uon:8478
Identifier: ISBN:9783642049200
Language: eng

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