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Examining Land-Use through GIS-Based Kernel Density Estimation

A Re-Evaluation of Legacy Data from the Berbati-Limnes Survey

Bibliographic Data

ID11073508
AuthorsAnton Bonnier (0000-0002-6386-5293, Uppsala University, Uppsala, Sweden, corresponding author), Martin Finné (0000-0001-7433-268X, Uppsala University, Uppsala, Sweden), Erika Weiberg (0000-0001-6583-387X, Uppsala University, Uppsala, Sweden)
Year2019
Volume44
Issue2
Pages70-83
Publication date2019-02-17
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueJournal of Field Archaeology (JOURNAL)
Journal identifiersISSN: 0093-4690 • E-ISSN: 2042-4582
PublisherInforma UK Limited (PUBLISHER • GB)
DOI10.1080/00934690.2019.1570481
OpenAlexW2915079863
LanguageEN
Citations received27
References cited35

The use of archaeological survey data for evaluation of landscape dynamics has commonly been concerned with the distribution of settlements and changes in number of recorded sites over time. Here we present a new quantitative approach to survey-based legacy data, which allows further assessments of the spatial configuration of possible land-use areas. Utilizing data from an intensive archaeological survey in the Berbati-Limnes area, Greece, we demonstrate how GIS-based kernel density estimations (KDE) can be used to produce cluster-based density surfaces that may be linked to past land-use strategies. By relating density surfaces to elevation and slope, it is also possible to quantify shifts in the use of specific environments on a regional scale, allowing us to model and visualize land-use dynamics over time. In this respect, the approach provides more multifaceted information to be drawn from archaeological legacy data, providing an extended platform for research on human-environment interactions

Archaeology · Cartography · Civil engineering · Elevation (ballistics · Environmental resource management · Geographic information system · Geography · Human settlement · Kernel density estimation · Land use · Physical geography · Remote sensing · Scale (ratio · Statistics · Survey data collection · Archaeological Research and Protection · Archaeology and ancient environmental studies · Engineering · Environmental Science · Land Use and Ecosystem Services · Mathematics

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Unique citing works27
Citations per year3,86
Citation span2019 - 2026 (8)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 26
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