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A computationally efficient method for delineating irregularly shaped spatial clusters

Author

Listed:
  • Juan Duque
  • Jared Aldstadt
  • Ermilson Velasquez
  • Jose Franco
  • Alejandro Betancourt

Abstract

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Suggested Citation

  • Juan Duque & Jared Aldstadt & Ermilson Velasquez & Jose Franco & Alejandro Betancourt, 2011. "A computationally efficient method for delineating irregularly shaped spatial clusters," Journal of Geographical Systems, Springer, vol. 13(4), pages 355-372, December.
    • Handle: RePEc:kap:jgeosy:v:13:y:2011:i:4:p:355-372
    DOI: 10.1007/s10109-010-0137-1
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    References listed on IDEAS

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    1. Manfred M. Fischer & Arthur Getis (ed.), 2010. "Handbook of Applied Spatial Analysis," Springer Books, Springer, number 978-3-642-03647-7, November.
    2. Ikuho Yamada & Peter Rogerson & Gyoungju Lee, 2009. "GeoSurveillance: a GIS-based system for the detection and monitoring of spatial clusters," Journal of Geographical Systems, Springer, vol. 11(2), pages 155-173, June.
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    Cited by:

    1. Yeran Sun & Amin Mobasheri, 2017. "Utilizing Crowdsourced Data for Studies of Cycling and Air Pollution Exposure: A Case Study Using Strava Data," IJERPH, MDPI, vol. 14(3), pages 1-19, March.
    2. Zhanjun He & Rongqi Lai & Zhipeng Wang & Huimin Liu & Min Deng, 2022. "Comparative Study of Approaches for Detecting Crime Hotspots with Considering Concentration and Shape Characteristics," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    3. Juan C. Duque & Alejandro Betancourt & Freddy Marin, 2013. "An algorithmic approach for simulating realistic irregular lattices," Documentos de Trabajo CIEF 10937, Universidad EAFIT.

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    More about this item

    Keywords

    AMOEBA; Cluster detection; Local G statistic; Ecotope; C02 mathematical methods; C4 econometric and statistical methods: special topics;
    All these keywords.

    JEL classification:

    • C02 - Mathematical and Quantitative Methods - - General - - - Mathematical Economics
    • C4 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods: Special Topics

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