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Finding similar places using the observation-to-generalization place model

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  • Benjamin Adams

Abstract

In this article, a novel observation-to-generalization place model is proposed. It is shown how this model can be used to formally define the problem of finding geographically similar places. The observation-to-generalization model differentiates between observations of phenomena in the environment at a specific location and time, and generalizations about places that are inferred from these observations. A suite of operations is defined to find similar places based on the invariance of generalized place properties, and it is demonstrated how these functions can be applied to the problem of finding similar places based on the topics that people write about in place descriptions. One use for similar-place search is for exploratory research that will enable investigators to perform case–control studies on place data. Copyright Springer-Verlag Berlin Heidelberg 2015

Suggested Citation

  • Benjamin Adams, 2015. "Finding similar places using the observation-to-generalization place model," Journal of Geographical Systems, Springer, vol. 17(2), pages 137-156, April.
    • Handle: RePEc:kap:jgeosy:v:17:y:2015:i:2:p:137-156
    DOI: 10.1007/s10109-015-0209-3
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    1. A S Fotheringham & D W S Wong, 1991. "The Modifiable Areal Unit Problem in Multivariate Statistical Analysis," Environment and Planning A, , vol. 23(7), pages 1025-1044, July.
    2. Roger Bivand & Albrecht Gebhardt, 2000. "Implementing functions for spatial statistical analysis using the language," Journal of Geographical Systems, Springer, vol. 2(3), pages 307-317, September.
    3. Geoffrey M. Jacquez, 2000. "Spatial analysis in epidemiology: Nascent science or a failure of GIS?," Journal of Geographical Systems, Springer, vol. 2(1), pages 91-97, March.
    4. José-María Montero & Coro Chasco & Beatriz Larraz, 2010. "Building an environmental quality index for a big city: a spatial interpolation approach combined with a distance indicator," Journal of Geographical Systems, Springer, vol. 12(4), pages 435-459, December.
    5. Jakob Petersen & Maurizio Gibin & Paul Longley & Pablo Mateos & Philip Atkinson & David Ashby, 2011. "Geodemographics as a tool for targeting neighbourhoods in public health campaigns," Journal of Geographical Systems, Springer, vol. 13(2), pages 173-192, June.
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    More about this item

    Keywords

    Place; Gazetteer; Similarity; Geographic information retrieval; C19; C65;
    All these keywords.

    JEL classification:

    • C19 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Other
    • C65 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Miscellaneous Mathematical Tools

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