skip to main content
10.1145/3554944.3554960acmotherconferencesArticle/Chapter ViewAbstractPublication PagesvinciConference Proceedingsconference-collections
poster

Visual Similarity Analysis of Geospatial Properties for Swiss Municipalities

Authors Info & Claims
Published:31 October 2022Publication History

ABSTRACT

Geospatial planning drives the population-resource-environment system and guarantees sustainable development. In Switzerland, the development of vacancies can be observed in various municipalities. Hence, no optimal geospatial planning is taking place. In this paper, a visual representation in combination with cluster analysis is presented to give the planners support in geospatial shaping. These methods allow to identify commonalities in municipalities and reveal potential options for a geospatial development. For this purpose, public data for eight municipalities are gathered from the Swiss Federal Statistical Office and Open Street Map. Our results give clear commonalities for each municipality and allow to determine the places which have more development resources.

References

  1. BfS. 2021. Federal Statistical Office. Web Page (2021), Accessed 2021–05–01. https://www.bfs.admin.ch/bfs/de/home/statistiken/industrie-%0Adienstleistungen/erhebungen/statent.html.Google ScholarGoogle Scholar
  2. Matthew Brehmer, Bongshin Lee, Petra Isenberg, and Eun Kyoung Choe. 2020. A Comparative Evaluation of Animation and Small Multiples for Trend Visualization on Mobile Phones. IEEE Transactions on Visualization and Computer Graphics 26, 1(2020), 364–374. https://doi.org/10.1109/TVCG.2019.2934397 arxiv:1907.03919Google ScholarGoogle ScholarCross RefCross Ref
  3. A. A. Chibilev, R. Sh Akhmetov, V. P. Petrishchev, and Yu V. Cherkasova. 2015. Cluster differentiation of municipal districts of Orenburg oblast by features of rural settlement pattern. Regional Research of Russia 5, 3 (2015), 263–269. https://doi.org/10.1134/S2079970515030041Google ScholarGoogle ScholarCross RefCross Ref
  4. Peter Gordon and Karima Kourtit. 2020. Agglomeration and clusters near and far for regional development: A critical assessment. Regional Science Policy and Practice 12, 3 (2020), 387–396. https://doi.org/10.1111/rsp3.12264Google ScholarGoogle ScholarCross RefCross Ref
  5. Peter Nijkamp. 2016. The «resourceful region». A new conceptualisation of regional development strategies. Investigaciones Regionales 2016, 36Specialissue(2016), 191–214.Google ScholarGoogle Scholar
  6. OSM. 2021. Open Street Map Homepage. Web Page (2021), Date Accessed 2021–05–01.Google ScholarGoogle Scholar
  7. M.E. Porter, Christian H. M. Ketels, Kaia Miller, and Richard T. Bryden. 2004. Competitiveness in rural US regions: Learning and research agenda. Policy (2004), 1–70. http://www.isc.hbs.edu/pdf/EDA_RuralReport_20040621.pdfGoogle ScholarGoogle Scholar
  8. Christine Seidler. 2020. Viele leerstehende Wohnungen - eine ungesunde Stadtentwicklung. Wissensplatz University of Applied Sicences Chur (2020).Google ScholarGoogle Scholar
  9. Lei Su and Linhan Fu. 2021. Regional land planning based on BPNN and space mining technology. Neural Computing and Applications 33, 10 (2021), 5241–5255. https://doi.org/10.1007/s00521-020-05316-5Google ScholarGoogle ScholarDigital LibraryDigital Library

Index Terms

  1. Visual Similarity Analysis of Geospatial Properties for Swiss Municipalities

    Recommendations

    Comments

    Login options

    Check if you have access through your login credentials or your institution to get full access on this article.

    Sign in
    • Published in

      cover image ACM Other conferences
      VINCI '22: Proceedings of the 15th International Symposium on Visual Information Communication and Interaction
      August 2022
      136 pages
      ISBN:9781450398060
      DOI:10.1145/3554944

      Copyright © 2022 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 31 October 2022

      Check for updates

      Qualifiers

      • poster
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate71of193submissions,37%
    • Article Metrics

      • Downloads (Last 12 months)28
      • Downloads (Last 6 weeks)3

      Other Metrics

    PDF Format

    View or Download as a PDF file.

    PDF

    eReader

    View online with eReader.

    eReader

    HTML Format

    View this article in HTML Format .

    View HTML Format