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Producing Grid Square Statistics on Demand

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Abstract

This chapter proposes an on-demand service to produce Grid Square statistics. This on-demand service is based on the Generic Statistical Business Process Model (GSBPM) developed by UNECE. GSBPM consists of eight phases: Specify Needs, Design, Build, Collect, Process, Analyze, Disseminate, and Evaluate. We prototype an on-demand service for World Grid Square statistics as a web data application based on data collected from the OpenStreetMap (OSM) service. The system conducts processes automatically, from request acceptance to disseminating the World Grid Square statistics. We propose the following four steps to form the on-demand service in real-time: (i) users check out points of interest; (ii) the service automatically accesses Web API of Web Feature Service (WFS) to collect the data on points of interest; (iii) the system computes Grid Square statistics, and (iv) disseminates them. Since the types of points of interest dealt with in WFS vary enormously, and the total number of the World Grid Squares is vast, it is impossible to produce World Grid Square statistics for all the possible types of interests beforehand. However, our proposed service can produce and serve the Grid Square statistics in response to users’ requests. Moreover, we discuss a potential extension of the proposed system to other types of geographical expressions, such as postal codes and addresses.

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References

  1. ISO/IEC 20546:2019, Information technology-Big data-Overview and vocabulary. https://www.iso.org/standard/68305.html. Accessed 9 Oct 2022

  2. GSBPM v5.0. https://statswiki.unece.org/display/GSBPM/GSBPM+v5.0. Accessed 24 Jan 2024

  3. UNGGRF. https://www.unggrf.org. Accessed 24 Jan 2024

  4. United Nations Committee of Experts on Global Geospatial Information Management, Position Paper on Sustaining the Global Geodetic Reference Frame. https://ggim.un.org/meetings/GGIM-committee/11th-Session/documents/E-C.20-2021-7-Add-2_Position_Paper_on_Sustaining_the_GGRF_29Jul2021.pdf. Accessed 20 Jan 2024

  5. Global Statistical Geospatial Framework, UN Statistics Wiki. https://unstats.un.org/wiki/display/GSGF/Global+Statistical+Geospatial+Framework. Accessed 25 Jan 2024

  6. JISC, The Japanese National Grid Square codes, JIS X0410:2002. Accessed 24 Jan 2024

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  7. A.-H. Sato, S. Nishimura, H. Tsubaki, World grid square codes: Definition and an example of world grid square data, in Conference: 2017 IEEE International Conference on Big Data (Big Data) (2017), pp. 4238–4247. https://doi.org/10.1109/BigData.2017.8258450

  8. Research Institute for World Grid Squares. https://www.fttsus.jp/worldgrids/en/library/. Accessed 24 Jan 2024

  9. A.-H. Sato, S. Nishimura, T. Namiki, N. Makita, H. Tsubaki, World grid square data reference framework and its potential applications, in Conference: 2018 IEEE 42nd Annual Computer Software and Applications Conference (COMPSAC) (2018), pp. 398–409. https://doi.org/10.1109/COMPSAC.2018.00062.

  10. A.-H. Sato, Characterization of cities based on world grid square statistics about specific properties, in Conference: 2017 IEEE International Conference on Big Data (Big Data) (2017), pp. 4228–4237. https://doi.org/10.1109/BigData.2017.8258449

  11. MESHSTATS. http://www.meshstats.net/meshstats/. Accessed 24 Jan 2024

  12. OpenStreetMap. https://openstreetmap.org/. Accessed 24 Jan 2024

  13. OpenStreetMap Taginfo. https://taginfo.openstreetmap.org/. Accessed 24 Jan 2024

  14. OpenStreetMap Overpass. http://overpass-turbo.eu/. Accessed 24 Jan 2024

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Correspondence to Aki-Hiro Sato .

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© 2024 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Sato, AH., Tsubaki, H. (2024). Producing Grid Square Statistics on Demand. In: Evaluation Platform of Sustainability for Global Systems. Springer, Singapore. https://doi.org/10.1007/978-981-97-2296-9_7

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