Logo Oapen
  • Join
    • Deposit
    • For Librarians
    • For Publishers
    • For Researchers
    • Funders
    • Resources
    • OAPEN
        View Item 
        •   OAPEN Home
        • View Item
        •   OAPEN Home
        • View Item
        JavaScript is disabled for your browser. Some features of this site may not work without it.

        Non-Intrusive Methodologies for Large Area Urban Research

        Thumbnail
        Download PDF Viewer
        Contributor(s)
        Haynes, Ian (editor)
        Ravasi, Thea (editor)
        Collection
        Knowledge Unlatched (KU); KU Open Services
        Language
        English
        Show full item record
        Abstract
        Non-Intrusive Methodologies for Large Area Urban Research brings together contributions from a conference held in 2021 in association with the ERC-funded ‘Rome Transformed’ research project. The papers address a major challenge in archaeology. Non-intrusive research in pursuit of a deeper understanding of urban areas can be both richly informative and cost-effective. Multiple successes in the field have led to an impressive array of innovative methodologies, methodologies that are frequently combined for still greater insight and impact. Geophysical surveys, the use of UAVs, the study of exposed historic structures and the exhaustive examination of archival records can all play a vital role, and the development of these data capture methodologies is of the utmost importance for the future of research. As well as advances in data capture methodologies, however, the papers also present case studies in the management of the big data generated and in the integration of different methodologies. A further strength of this collection lies in the range of site types considered. While many projects have historically pursued non-intrusive research in areas relatively clear of modern buildings, a growing number of research initiatives, such as ‘Rome Transformed’ are seeking to advance them in areas which remain densely occupied. Accordingly the material presented here will also be of interest to non-archaeologists working in such diverse fields as civil engineering, urban planning and physical geography.
        URI
        https://library.oapen.org/handle/20.500.12657/77217
        Keywords
        Social Science; Archaeology; Science; Physics; Geophysics; Computers; Data Science; Data Analytics
        ISBN
        9781803274478, 9781803274461
        Publisher
        Archaeopress Publishing
        Publisher website
        https://www.archaeopress.com/
        Publication date and place
        2023
        Grantor
        • Knowledge Unlatched
        Imprint
        Archaeopress Publishing Ltd
        Rights
        https://creativecommons.org/licenses/by-nc-nd/4.0/
        • Harvested from KU

        Browse

        All of OAPENSubjectsPublishersLanguagesCollections

        My Account

        LoginRegister

        Export

        Repository metadata
        Logo Oapen
        • For Librarians
        • For Publishers
        • For Researchers
        • Funders
        • Resources
        • OAPEN

        Newsletter

        • Subscribe to our newsletter
        • view our news archive

        Follow us on

        License

        • If not noted otherwise all contents are available under Attribution 4.0 International (CC BY 4.0)

        Credits

        • logo EU
        • This project received funding from the European Union's Horizon 2020 research and innovation programme under grant agreement No 683680, 810640, 871069 and 964352.

        OAPEN is based in the Netherlands, with its registered office in the National Library in The Hague.

        Director: Niels Stern

        Address:
        OAPEN Foundation
        Prins Willem-Alexanderhof 5
        2595 BE The Hague
        Postal address:
        OAPEN Foundation
        P.O. Box 90407
        2509 LK The Hague

        Websites:
        OAPEN Home: www.oapen.org
        OAPEN Library: library.oapen.org
        DOAB: www.doabooks.org

         

         

        Export search results

        The export option will allow you to export the current search results of the entered query to a file. Differen formats are available for download. To export the items, click on the button corresponding with the preferred download format.

        A logged-in user can export up to 15000 items. If you're not logged in, you can export no more than 500 items.

        To select a subset of the search results, click "Selective Export" button and make a selection of the items you want to export. The amount of items that can be exported at once is similarly restricted as the full export.

        After making a selection, click one of the export format buttons. The amount of items that will be exported is indicated in the bubble next to export format.