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Title Archaeological prediction and risk management : alternatives to current practice / edited by Hans Kamermans, Martijn van Leusen, Philip Verhagen.

Publication Info. Leiden : Leiden University Press, [2009]
©2009

Item Status

Description 1 online resource (160 pages) : illustrations.
Physical Medium polychrome
Description text file
Series Archaeological studies Leiden University ; 17
Archaeological studies Leiden University ; 17.
Bibliography Includes bibliographical references.
Summary The Netherlands are one of the few countries in Europe where predictive models play an important role in cultural heritage management. The models are used to predict archaeological site location in order to guide future developments in the modern landscape. Many scholars however consider the application of predictive models for this purpose highly controversial. Between 2002 and 2006 a team of Dutch researchers conducted strategic research into predictive modelling on behalf of Dutch cultural resource management. One of the goals was to develop best practices for the production and application of these models. This book is the second and final edited volume of publications of this Predictive Modelling project. It brings together technical papers on developing new methods for predictive modelling and applied, interdisciplinary "action research" focusing on how the models are, or should be, used by stakeholders in cultural heritage management in the Netherlands.
Local Note eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America
Subject Archaeological site location -- Netherlands -- Methodology.
Archaeological site location.
Netherlands.
Methodology.
Archaeology -- Netherlands -- Methodology.
Archaeology.
Archaeology -- Netherlands -- Forecasting.
Forecasting.
Genre/Form Electronic books.
Added Author Kamermans, Hans.
Leusen, Martijn van.
Verhagen, Philip, 1966-
Other Form: Print version: Archaeological prediction and risk management. Leiden : Leiden University Press, ©2009 9789087280673 (OCoLC)456904730
ISBN 9789048510634 (electronic book)
9048510635 (electronic book)
9789087280673 (Paper)
908728067X (Paper)
Standard No. 3141254