Using Geographically Weighted Regression to Predict Site Representativity
2010 (English)In: Making History Interactive: Computer Applications and Quantitative Methods in Archaeology (CAA) Proceedings of the 37th International Conference, Williamsburg, Virginia, United States of America, March 22-26, 2009. / [ed] Frischer, Bernard, Webb Crawford, Jane and Koller, David., Oxford: Archaeopress , 2010, 203-215 p.Conference paper (Refereed)
This paper presents an attempt to use GWR in the ArcGIS environment to explore representativity of sites (burial grounds) in the Mälardalen area in central Sweden. This area has a large number of burial grounds that survive in the landscape and form the base for a settlement analysis of the Iron Age landscape. Large-scale rescue excavations from the 1980s onwards have shown that although there are a large number of sites that are visible in the landscape, there are also a significant number that for different reasons have not been recorded. These could either be sites that have been damaged by later agricultural activities, or that simply have been missed in the surveys. Building on the results of some of the major archaeological projects recently initiated as part of infrastructure developments in the region, the representativity of the known archaeological record is examined. This information is crucial for the further analysis of the region using the archaeological record of surveyed sites. The results of this analysis are presented in the paper, along with a discussion on the benefits of the GWR technique for raster-based landscape analysis in archaeology.
Place, publisher, year, edition, pages
Oxford: Archaeopress , 2010. 203-215 p.
, BAR International Series, 2079
GIS, GWR, Statistical Modeling, Landscape Archaeology
IdentifiersURN: urn:nbn:se:uu:diva-111297ISBN: 978-1-905739-32-5OAI: oai:DiVA.org:uu-111297DiVA: diva2:280704
Computer Applications and Quantitative Methods in Archaeology 2009