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A framework for assisted proximity analysis in feature data

Author

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  • Rolf Grütter

    (Swiss Federal Research Institute WSL)

Abstract

This framework for assisted proximity analysis in feature data consists of a hierarchy of proximity classes that use spatial neighborhoods as fundamental building blocks. The instances are spatial relations between isolated objects, or objects in a cluster, sharing the relational properties of reflexivity/irreflexivity and symmetry/asymmetry. The framework proposes ways of generating spatial neighborhoods and includes a discussion of how to deal with the vagueness inherent in nearness relations. It is applied to a realistic use case of epizootic disease outbreak. The framework updates the current state of knowledge in the field by considering: (1) spatial objects in a cluster, (2) spatially coextensive regions, and (3) regions in a partition chain. It relates ways of generating spatial neighborhoods to the proximity classes and introduces a number of yes–no questions to be implemented as a sequence of functions in a GIS system. The objective of the latter is to assist non-expert users, such as decision-makers, in carrying out proximity analyses. This is the first time that such a comprehensive framework has been proposed.

Suggested Citation

  • Rolf Grütter, 2019. "A framework for assisted proximity analysis in feature data," Journal of Geographical Systems, Springer, vol. 21(3), pages 367-394, September.
    • Handle: RePEc:kap:jgeosy:v:21:y:2019:i:3:d:10.1007_s10109-019-00304-3
    DOI: 10.1007/s10109-019-00304-3
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    References listed on IDEAS

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    1. Carlo Ratti & Stanislav Sobolevsky & Francesco Calabrese & Clio Andris & Jonathan Reades & Mauro Martino & Rob Claxton & Steven H Strogatz, 2010. "Redrawing the Map of Great Britain from a Network of Human Interactions," PLOS ONE, Public Library of Science, vol. 5(12), pages 1-6, December.
    2. Roderic Bera & Christophe Claramunt, 2003. "Topology-based proximities in spatial systems," Journal of Geographical Systems, Springer, vol. 5(4), pages 353-379, December.
    3. Nielsen, Thomas Alexander Sick & Hovgesen, Henrik Harder, 2008. "Exploratory mapping of commuter flows in England and Wales," Journal of Transport Geography, Elsevier, vol. 16(2), pages 90-99.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    Feature data; Proximity analysis; Spatial relation; Spatial neighborhood; GIS; Decision support;
    All these keywords.

    JEL classification:

    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • I18 - Health, Education, and Welfare - - Health - - - Government Policy; Regulation; Public Health

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