IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-319-00143-2_37.html
   My bibliography  Save this book chapter

Correlation of Laser-Scan Surveys of Irish Classical Architecture with Historic Documentation from Architectural Pattern Books

In: Architecture and Mathematics from Antiquity to the Future

Author

Listed:
  • Maurice Murphy

    (Dublin Institute of Technology)

  • Sara Pavia

    (Trinity College)

  • Eugene McGovern

    (Dublin Institute of Technology)

Abstract

Automated systems using terrestrial laser scanning and digital photogrammetry for recording of historic structures produce accurate 3D surface modelling of historic structures or artefacts, but do not supply detail behind the surface of the scan. Correlation of laser-scan and image survey data with historic documentation will augment the surface detail of the laser scan survey. Architectural pattern books published during the 1700s were one of the main inspirational sources for the design of vernacular eighteenth-century classical buildings. The main aim of this chapter is to describe the process of correlation of laser-scan and image survey data with historic detail from architectural pattern books, and secondly the resultant analysis of the systems of geometrical proportioning used in the design and building of eighteenth-century vernacular classical buildings in Ireland.

Suggested Citation

  • Maurice Murphy & Sara Pavia & Eugene McGovern, 2015. "Correlation of Laser-Scan Surveys of Irish Classical Architecture with Historic Documentation from Architectural Pattern Books," Springer Books, in: Kim Williams & Michael J. Ostwald (ed.), Architecture and Mathematics from Antiquity to the Future, edition 127, chapter 0, pages 541-550, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-00143-2_37
    DOI: 10.1007/978-3-319-00143-2_37
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:spr:sprchp:978-3-319-00143-2_37. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.