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- W1494227859 abstract "Publisher Summary This chapter describes various empiric correlative models for locational prediction developed in both cultural resource management (CRM) and academic research contexts. There is no doubt that the recent popularity of predictive models is due to their promise in two areas: cost-effectiveness and utility in planning. Several of the inferential models reviewed in the chapter appear to provide predictions of location that are sufficiently accurate and precise to be used for planning purposes. Through correct use of sampling procedures and statistical techniques, predictive models can be built that perform this management function adequately, while making little or no contribution to understanding locational processes. This frequently happens in the case where such models have uninterpretable independent variables or fail to differentiate significant subsets of activities. On the positive side, the surveys on which these models were based have produced an immense amount of site location data accompanied by the simultaneous collection of much useful environmental information. In conclusion, predictive models can provide both a planning service and one framework for incorporating CRM studies into wider research concerns." @default.
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- W1494227859 title "Predictive Models for Archaeological Resource Location" @default.
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