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Using Geographically Weighted Regression to Predict Site Representativity
Uppsala University, Disciplinary Domain of Humanities and Social Sciences, Faculty of Arts, Department of Archaeology and Ancient History, Archaeology.ORCID iD: 0000-0002-6091-3966
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, Published paper (Refereed)
Abstract [en]

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.
Series
BAR International Series, 2079
Keyword [en]
GIS, GWR, Statistical Modeling, Landscape Archaeology
National Category
Archaeology
Identifiers
URN: urn:nbn:se:uu:diva-111297ISBN: 978-1-905739-32-5 (print)OAI: oai:DiVA.org:uu-111297DiVA: diva2:280704
Conference
Computer Applications and Quantitative Methods in Archaeology 2009
Available from: 2009-12-11 Created: 2009-12-09 Last updated: 2016-10-04Bibliographically approved
In thesis
1. Excavating the Digital Landscape: GIS analyses of social relations in central Sweden in the 1st millennium AD
Open this publication in new window or tab >>Excavating the Digital Landscape: GIS analyses of social relations in central Sweden in the 1st millennium AD
2010 (English)Doctoral thesis, comprehensive summary (Other academic)
Abstract [en]

This thesis presents a number of GIS based landscape analyses that together aim to explore aspects of the social development in Iron Age Västmanland, central Sweden. From a perspective where nature and culture are seen as integrated in the landscape, differences in the relations to the physical landscape are interpreted as reflecting social organisation. Thus, hydrological modelling of watersheds is used for understanding the development of territories and regions that are recognisable in the outlay of the medieval hundare districts. Statistical modelling of burial grounds together with variables describing their situation in the landscape is used to calculate an estimated chronology for sites that have not yet been excavated. This information is used to analyse differences in how the setting in the landscape can tell of different trends in claims to land and property rights. An extensive renegotiation of property rights is suggested to have taken place after climatic catastrophe in AD 536 and the years after. This is interpreted as having caused a substantial population decline in parts of Scandinavia. The social development after this includes an increasingly stratified social hierarchy in the Late Iron Age, which is reflected in the construction of grave monuments. New GIS methods for analysing how to interpret the perception of different locations of the landscape, in terms of local topography and soil are discussed in relation to this.

 

How to make the best use of large datasets of archaeological information in combination with other sources of geographical information is a central theme. Geographically Weighted Regression is used to predicting the representativity of the registry of graves for the whole landscape. It is suggested that the increasing availability of archaeological information in digital format, together with new analytical techniques has the potential to introduce fruitful new research perspectives. This will make it increasingly rewarding to work with the large amount of data produced from rescue archaeology, and it is important that this information is managed in a structured manner.

Place, publisher, year, edition, pages
Uppsala: Arkeologiska institutionen, 2010. xii+23 p.
Series
Aun, ISSN 0284-1347 ; 42
Keyword
landscape archaeology, GIS, Iron Age, Västmanland, burial grounds, Vendel Period, Viking Age, territorial organisation, watersheds, statistical analysis, chronology, discriminant analysis, GWR, spatial analysis, perception, topography, AD 536, Fimbulvinter, property rights, crisis, historical ecology.
National Category
Archaeology
Research subject
Archaeology
Identifiers
urn:nbn:se:uu:diva-111393 (URN)978-91-506-2121-1 (ISBN)
Public defence
2010-01-29, Geijersalen, Centre for the Humanities, English Park Campus, Uppsala, 13:15 (English)
Opponent
Supervisors
Note
Appendices see http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-111310Available from: 2010-01-08 Created: 2009-12-14 Last updated: 2016-10-04Bibliographically approved

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Löwenborg, Daniel

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