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A Predictive Site Location Model on the High Plains: An Example with an Independent Test

Kvamme, Kenneth L.·1992·Plains Anthropologist

Abstract

Models of archaeological site location that have a predictive capacity formed an integral part of the Pinon Canyon Archaeological Project, located in Las Animas County, southeastem Colorado. The models were developed through a focus on settlement theory and previous archaeological work, and through a combination of techniques and technologies including multivariate statistics, decision theory, principles of pattern recognition, image classification, and the computer science domain known as Geographic Information Systems. One previously undescribed model for a portion of the Pinon Canyon study region is examined. This model, although it performs at only a moderate level is noteworthy because a completely independent survey of that region recently has been conducted, allowing a “blind test” of its performance. We may therefore compare the predicted performance of this model against actual circumstances allowing an objective assessment of the utility of predictive modeling at Pinon Canyon.

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Crossref · 10.1080/2052546.1992.11909662

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Research works printed but not linked: 15

  1. Burrough, P.E. 1986Principles of Geographical Information Systems for Land Resources Assessment. Clarendon Press, Oxford. · DOI
  2. Chadwick, A.J. 1978 A Computer Simulation of Mycenaean Settlement. InSimulation Studies in Archaeology, edited by Ian Hodder, 47-58. Cambridge University Press, Cambridge.
  3. Dixon, Wilfred J., and Frank J. Massey, Jr. 1983Introduction to Statistical Analysis. 4th ed. McGraw-Hill, New York.
  4. Haggett, P., A.D. Cliff, and A. Frey 1977Locational Analysis in Human Geography. 2ded. John Wiley, New York.
  5. Jochim, Michael A. 1976Hunter-Gatherer Subsistence and Settlement: A Predictive Model. Academic Press, New York,
  6. Judge, W. James 1973Paleoindian Occupation of the Central • ‘oGrande Valley, New Mexico. University of NewMexico Press, Albuquerque.
  7. Kvamme, Kenneth L. 1985 Determining Empirical Relationships Between the Natural Environment and Prehistoric Site Locations: A Hunter-Gatherer Example. InFor Concordance in Archaeological Analysis: Bridging Data Structure, Quantitative Technique, and Theory, edited by Christopher Carr, 208-238. Westport Press, Kansas City.
  8. Kvamme, Kenneth L., and Michael A. Jochim 1989 The Environmental Basis of Mesolithic Settlement, InThe Mesolithic in Europe: Papers Presented at the Third International Symposium, edited by C. :orison, 1-12. John Donald, Edinburgh, Scotland.
  9. Maynard, Paul F., and Alan H. Strahler 1981 The Logit Classifier, a General Maximum Likelihood Discriminant for Remote Sensing Applications.Proceedings of the Fifteenth International Symposium on Remote Sensing of Environment, 213-222. International Society of Electrical and Electronic Engineers, Ann Arbor, Michigan.
  10. Mueller, James W., ed. 1975Sampling in Archaeology. University of Arizona Press, Tucson.
  11. Plog, Fred T. 1981 SARG: The Computer in a Cooperative Effort. InData Bank Applications in Archaeology, edited by Sylvia W. Gaines, 46-56. University of Arizona Press, Tucson.
  12. Scheaffer, Richard L., William Mendenhall, and Lyman Ott 1979Elementary Survey Sampling. 2d ed. Duxbuty Press, North Scituate, Massachusetts.
  13. Schowengerdt, Robert A. 1983Techniques for Image Processing and Classification in Remote Sensing. Academic Press, New York. · DOI
  14. Tou, J.T., and R C. Gonzalez 1974Pattern Recognition Principles. Addison-Wesley, Reading, Massachusetts.
  15. Williams, L., D.H. Thomas, and R L. Bettinger 1973 Notions to Numbers: Great Basin Settlementsas Polythetic Sets, InResearch and Theory in Current Archaeology, edited by C.L. Redman, 215-238. John Wiley, New York.

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Metadata

Authors
Kvamme, K. L.
Affiliations
Arizona State Museum and Deaprtment of Anthropology University of Arizona Tucson, Arizona 85721
Venue
Plains Anthropologist
Published
1992-02
Volume
37
Issue
138
Pages
19-40
ISSN
  • 0032-0447
  • 2052-546X
Cited by
42
References
0
Language
en

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