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Assessing representation error in point-based coverage modeling

Author

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  • Alan T. Murray

    (Department of Geography, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA (e-mail: murray.308@osu.edu; okelly.1@osu.edu))

  • Morton E. O'Kelly

    (Department of Geography, The Ohio State University, 1036 Derby Hall, 154 North Oval Mall, Columbus, OH 43210, USA (e-mail: murray.308@osu.edu; okelly.1@osu.edu))

Abstract

. Accurately representing geographic space in a digital environment continues to confound and challenge researchers. Carrying out spatial analysis in a setting where geographic representation is subject to change poses problems to be addressed. In this paper we examine spatial representation in the context of coverage-based location modeling. A geographic region can be represented in a variety of ways. We present an evaluation of spatial representation in the location of facilities that provide coverage oriented services. The analysis shows that the modeling results are sensitive to how spatial demand for service is represented in a digital environment. We develop an approach for evaluating representational appropriateness. This research contributes to spatial analysis integrated in geographic information system environment.

Suggested Citation

  • Alan T. Murray & Morton E. O'Kelly, 2002. "Assessing representation error in point-based coverage modeling," Journal of Geographical Systems, Springer, vol. 4(2), pages 171-191, June.
    • Handle: RePEc:kap:jgeosy:v:4:y:2002:i:2:d:10.1007_s101090200084
    DOI: 10.1007/s101090200084
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    Citations

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    Cited by:

    1. Zhong, Qing & Tong, Daoqin, 2020. "Spatial layout optimization for solar photovoltaic (PV) panel installation," Renewable Energy, Elsevier, vol. 150(C), pages 1-11.
    2. Ran Wei, 2016. "Coverage Location Models," International Regional Science Review, , vol. 39(1), pages 48-76, January.
    3. Daoqin Tong & Alan T. Murray, 2009. "Maximising coverage of spatial demand for service," Papers in Regional Science, Wiley Blackwell, vol. 88(1), pages 85-97, March.
    4. Pludow, B. Amelia & Murray, Alan T. & Church, Richard L., 2022. "Service quality modeling to support optimizing facility location in a microscale environment," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    5. Kayode J. Samuel, 2010. "Infrastructure Location," Journal of Infrastructure Development, India Development Foundation, vol. 2(1), pages 71-90, June.
    6. Alan T. Murray & Antonio Ortiz & Seonga Cho, 2022. "Enhancing strategic defensive positioning and performance in the outfield," Journal of Geographical Systems, Springer, vol. 24(2), pages 223-240, April.
    7. Manish Bansal & Kiavash Kianfar, 2017. "Planar Maximum Coverage Location Problem with Partial Coverage and Rectangular Demand and Service Zones," INFORMS Journal on Computing, INFORMS, vol. 29(1), pages 152-169, February.
    8. Wang, Wei & Wu, Shining & Wang, Shuaian & Zhen, Lu & Qu, Xiaobo, 2021. "Emergency facility location problems in logistics: Status and perspectives," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).

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