IDEAS home Printed from https://ideas.repec.org/a/gam/jgeogr/v3y2023i2p21-415d1168783.html
   My bibliography  Save this article

Geovisualization of Historical Geospatial Data: A Web Mapping Application for the 19th-Century Kaupert’s Maps of Attica

Author

Listed:
  • Georgios Lampropoulos

    (Dipylon Society, 6 Omirou Str., 10564 Athens, Greece)

  • George Panagiotopoulos

    (Metsovio Interdisciplinary Research Center, National Technical University of Athens, 9 Iroon Polytechniou Str., 15780 Athens, Greece)

  • Christina Giannakoula

    (Dipylon Society, 6 Omirou Str., 10564 Athens, Greece)

  • Alexandros Kokkalas

    (Dipylon Society, 6 Omirou Str., 10564 Athens, Greece)

Abstract

This paper presents the development procedure and significance of a web mapping application designed for disseminating, exploring, and analyzing Kaupert’s 19th-century Maps of Attica, Greece. The application facilitates historical and geographical study by providing access to high-resolution map images and overlaying multiple vector layers of geospatial data. The paper outlines the methods used to create the application, which includes the process of interpreting, digitizing, and organizing the original mapped data, georeferencing the historical cartographic sheets, and developing the web-based mapping application. The results of this work include a comprehensive and interactive digital reference tool for studying the ancient topography of Attica, as well as a framework for future research. Overall, this work highlights the potential of digital technologies to transform the way we approach and study historical maps and other cultural artifacts.

Suggested Citation

  • Georgios Lampropoulos & George Panagiotopoulos & Christina Giannakoula & Alexandros Kokkalas, 2023. "Geovisualization of Historical Geospatial Data: A Web Mapping Application for the 19th-Century Kaupert’s Maps of Attica," Geographies, MDPI, vol. 3(2), pages 1-18, June.
    • Handle: RePEc:gam:jgeogr:v:3:y:2023:i:2:p:21-415:d:1168783
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2673-7086/3/2/21/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2673-7086/3/2/21/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lin, Nung-yao & Chen, Shih-Pei & Wang, Sean H. & Yeh, Calvin, 2020. "Displaying spatial epistemologies on web GIS: using visual materials from the Chinese local gazetteers as an example," SocArXiv sfz9t, Center for Open Science.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.

      Corrections

      All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jgeogr:v:3:y:2023:i:2:p:21-415:d:1168783. See general information about how to correct material in RePEc.

      If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

      If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

      If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

      For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

      Please note that corrections may take a couple of weeks to filter through the various RePEc services.

      IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.