A GIS approach for predicting prehistoric site locations.

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Use of geographic information system (GIS)-based predictive mapping to locate areas of high potential for prehistoric archaeological sites is becoming increasingly popular among archaeologists. Knowledge of the environmental variables influencing activities of original inhabitants is used to produce GIS layers representing the spatial distribution of those variables. The GIS layers are then analyzed to identify locations where combinations of environmental variables match patterns observed at known prehistoric sites. Presented are the results of a study to locate high-potential areas for prehistoric sites in a largely unsurveyed area of 39,000 acres in the Upper Chesapeake Bay region, including details of the ... continued below

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14 p.

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Kuiper, J. A. & Wescott, K. L. August 4, 1999.

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This article is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 88 times . More information about this article can be viewed below.

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Description

Use of geographic information system (GIS)-based predictive mapping to locate areas of high potential for prehistoric archaeological sites is becoming increasingly popular among archaeologists. Knowledge of the environmental variables influencing activities of original inhabitants is used to produce GIS layers representing the spatial distribution of those variables. The GIS layers are then analyzed to identify locations where combinations of environmental variables match patterns observed at known prehistoric sites. Presented are the results of a study to locate high-potential areas for prehistoric sites in a largely unsurveyed area of 39,000 acres in the Upper Chesapeake Bay region, including details of the analysis process. The project used environmental data from over 500 known sites in other parts of the region and the results corresponded well with known sites in the study area.

Physical Description

14 p.

Notes

OSTI as DE00011926

Medium: P; Size: 14 pages

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  • 19th Annual ESRI User Conference, San Diego, CA (US), 07/26/1999--07/30/1999

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  • Report No.: ANL/EA/CP-99754
  • Grant Number: W-31109-ENG-38
  • Office of Scientific & Technical Information Report Number: 11926
  • Archival Resource Key: ark:/67531/metadc621833

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  • August 4, 1999

Added to The UNT Digital Library

  • June 16, 2015, 7:43 a.m.

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  • April 7, 2017, 2:30 p.m.

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Kuiper, J. A. & Wescott, K. L. A GIS approach for predicting prehistoric site locations., article, August 4, 1999; Illinois. (digital.library.unt.edu/ark:/67531/metadc621833/: accessed September 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.