Original Articles

Predictive Model of Archaeological Sites in the Upper Reaches of the Shuhe River in Shandong

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  • School of Earth and Space Sciences, Peking University, Beijing 100871, China

Online published: 2009-07-25

Abstract

Taking the upper reaches of the Shuhe River in Juxian County of Shandong Province as a case study, this paper analyses the spatial distribution and environmental characteristics of Dawenkou, Longshan and Yueshi cultural sites. Then a GIS-based logistic regression predictive model is built for the archaeological sites in the upper Shuhe River so that the quantitative relationships of the sites distribution with the altitudes and rivers distribution are identified. Results show that the archaeological sites in the upper Shuhe River were located in areas with lower elevation and slopes less than 3°, indicating that the sites were distributed in areas that were more suitable for local agricultural activities. In terms of the direction of the site selection, there was a more balanced distribution, with the west, southwest, east and southeast dominating the entire study area. The settlements in pre-historical periods were mainly located along the tributaries but far away from the mainstream so as to avoid flood disasters. With the elapse of time, the altitudes and slopes of the sites as well as their distances to the rivers tended to increase, which were related with the increased human ability to overcome environmental constraints.

Cite this article

NI Jinsheng . Predictive Model of Archaeological Sites in the Upper Reaches of the Shuhe River in Shandong[J]. PROGRESS IN GEOGRAPHY, 2009 , 28(4) : 489 -493 . DOI: 10.11820/dlkxjz.2009.04.002

References


[1]  Carr C. Introductory remarks on regional analysis//Carr C.For Concordance in Archaeological Analysis: Bridging Data Structure, Quantitative Techniques, and Theory. Kansas City: Westport Press,1985: 114-127.

[2]  Kohler T A, Sandra C P. Predictive models for archaeological resource location//Advances in Archaeological Method and Theory. New York: Academic Press, 1986: 397-452.

[3]  Kohler T A. Predictive locational modeling: History and current practice//Judge W J, Sebastian L. Quantifying the Present and Predicting the past: Theory, Method, and Application of Archaeological Predictive Modeling. U.S. Government Printing Office, Washinton, D.C., 1988.

[4]   Parker S. Predictive modelling of site settlement systems using multivariate logistics//Carr C. For Concordance in Archaeological Analysis: Bridging Data Structure, Quantitative Techniques, and Theory. Kansas City: Westport Press,1985: 173-207.

[5]  Willey G R, et al. Prehistoric Maya Settlement in the Belize Valley. Papers of the Peabody Museum, vol. 54, Cambridge, Mass,1965.

[6]  Clarke D L. Analytical Archaeology. London: Methuen & Co. Ltd.,1986.

[7]  Trigger B D. The determinants of settlement patterns// Chang Hsieh. Settlement Archaeology. Palo Alto: National Press, 1968: 53-78.

[8]  Haggett P, Cliff A D, Frey A. Locational Analysis in Human Geography. London: St. Martin’s Press, 1965.

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