IDEAS home Printed from https://ideas.repec.org/a/taf/tjomxx/v18y2022i4p610-618.html
   My bibliography  Save this article

Upper Palaeolithic site probability in Lower Austria – a geoarchaeological multi-factor approach

Author

Listed:
  • Bruno Boemke
  • Thomas Einwögerer
  • Marc Händel
  • Frank Lehmkuhl

Abstract

In archaeology, predictive models play a key role in understanding the interactions between humans and the palaeo-environment. They are also of great value for cultural heritage management and planning purposes. This is particularly true for Palaeolithic sites in the east Austrian loess landscape, which are often deeply embedded in sediment sequences. In this study, we analyse the geospatial behaviour of 23 Upper Palaeolithic sites in Lower Austria. Hereby, we apply a new approach, which combines the advantages of a classical deductive method with the capabilities of machine learning, implemented via the MaxEnt software. The result is a predictive model for an area of 7850 km², exploring the potential for the presence of Upper Palaeolithic sites. The model highlights several spatial dynamics of site probability in the study area. Possible sources of inaccuracies within the source data and the methodology are critically discussed.

Suggested Citation

  • Bruno Boemke & Thomas Einwögerer & Marc Händel & Frank Lehmkuhl, 2022. "Upper Palaeolithic site probability in Lower Austria – a geoarchaeological multi-factor approach," Journal of Maps, Taylor & Francis Journals, vol. 18(4), pages 610-618, January.
    • Handle: RePEc:taf:tjomxx:v:18:y:2022:i:4:p:610-618
    DOI: 10.1080/17445647.2021.2009926
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1080/17445647.2021.2009926
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1080/17445647.2021.2009926?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    More about this item

    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:taf:tjomxx:v:18:y:2022:i:4:p:610-618. 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: Chris Longhurst (email available below). General contact details of provider: http://www.tandfonline.com/tjom20 .

    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.