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An algorithm for maximum inscribed circle based on Voronoi diagrams and geometrical properties

Author

Listed:
  • Burak Beyhan

    (Muğla Sıtkı Koçman University)

  • Cüneyt Güler

    (Mersin University)

  • Hidayet Tağa

    (Mersin University)

Abstract

The aim of this study is to formulate an algorithm for the calculation of maximum inscribed circle (MIC) that can be placed within a polygon and to implement it by using free and open source software (FOSS) for GIS. MIC is used in a wide range of fields, ranging from cartography, planning, agriculture, forestry and geology to medicine, biology, astronomy, security, and engineering applications. Due to the complexity of the problem, there is no single and simple algorithm for the computation of MIC for arbitrary polygons. The algorithm developed in this study (MICGIS) for the computation of MIC can be applied to both convex and concave polygons represented in vector data format. MICGIS makes use of the Voronoi diagrams and geometrical properties by benefiting from the solutions proposed for the special cases of Apollonius’ Problem. Thanks to the employment of Voronoi diagrams and FOSS for GIS, MICGIS also works successfully for polygons with holes. For the implementation of MICGIS, FOSS libraries written in Java are used. What is evident from the various runs of the script produced on the base of MICGIS for a set of arbitrary polygons is that it is both faster and more accurate in finding MIC compared with the alternative algorithms and software.

Suggested Citation

  • Burak Beyhan & Cüneyt Güler & Hidayet Tağa, 2020. "An algorithm for maximum inscribed circle based on Voronoi diagrams and geometrical properties," Journal of Geographical Systems, Springer, vol. 22(3), pages 391-418, July.
    • Handle: RePEc:kap:jgeosy:v:22:y:2020:i:3:d:10.1007_s10109-020-00325-3
    DOI: 10.1007/s10109-020-00325-3
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    References listed on IDEAS

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    1. Tadej Brezina & Anita Graser & Ulrich Leth, 2017. "Geometric methods for estimating representative sidewalk widths applied to Vienna’s streetscape surfaces database," Journal of Geographical Systems, Springer, vol. 19(2), pages 157-174, April.
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    3. Donald Jones, 2014. "A fully general, exact algorithm for nesting irregular shapes," Journal of Global Optimization, Springer, vol. 59(2), pages 367-404, July.
    4. Zhanfeng Shen & Xinju Yu & Yongwei Sheng & Junli Li & Jiancheng Luo, 2015. "A Fast Algorithm to Estimate the Deepest Points of Lakes for Regional Lake Registration," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-15, December.
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    Cited by:

    1. Chih-Yu Chen & Florian Koch & Christa Reicher, 2024. "Developing a two-level machine-learning approach for classifying urban form for an East Asian mega-city," Environment and Planning B, , vol. 51(4), pages 854-869, May.

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    More about this item

    Keywords

    Maximum inscribed circle; Algorithm; Vector data; Free and open source software for GIS;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C88 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Other Computer Software

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