Modelling spatial heterogeneity and nonstationarity in artifact-rich landscapes

被引:53
作者
Bevan, Andrew [1 ]
Conolly, James [2 ]
机构
[1] UCL, Inst Archaeol, London WC1H 0PY, England
[2] Trent Univ, Dept Anthropol, Peterborough, ON K9J 7B8, Canada
基金
英国艺术与人文研究理事会;
关键词
Spatial analysis; Archaeological survey; Settlement patterns; Geostatistics; Kriging; Geographically weighted regression; INFLATED POISSON REGRESSION; AUTOCORRELATION;
D O I
10.1016/j.jas.2008.11.023
中图分类号
Q98 [人类学];
学科分类号
030303 ;
摘要
In this paper we consider a crucial issue for survey archaeology: how we identify and make sense of the heterogeneous and often inter-dependent behaviours and processes responsible for apparent archaeological patterns across the landscape. We apply two spatial statistical tools, kriging and geographically weighted regression, to develop a model that addresses the spatial heterogeneity and spatial nonstationarity present in the pottery distributions identified by our intensive survey of the Greek island of Antikythera. Our modelling results highlight a clear spatial structure underlying different scales of pottery density as well as locally varying relationships between pottery densities and several environmental variables. This allows us to develop further testable hypotheses about long-term settlement and land-use patterns on Antikythera, including more explicit models of community organisation, and of the relationship between the island's geomorphological structure and its history of past human activity. (C) 2008 Elsevier Ltd. All rights reserved.
引用
收藏
页码:956 / 964
页数:9
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