Dutch archaeology has experienced profound changes in recent years. This has led to an increasing use of archaeological predictive modelling, a technique that uses information about the location of known early human settlements to predict where additional settlements may have been located. Case Studies in Archaeological Predictive Modelling is the product of a decade of work by Philip Verhagen as a specialist in geographical information systems at RAAP Archeologisch Adviesbureau BV, one of the leading organizations in the field; the case studies presented here provide an overview of the field and point to potential future areas of research.

One of the more interesting developments in the field of archaeology in the recent past is the emergence of predictive modeling as an integral component of the discipline. Within any developing and expanding field, one may expect some initial controversy that will, presumably, diminish as the techniques are tested, refined, and finally accepted. We are still very much in the initial stages of learning how to go about using predictive modeling in archaeology, and this book represents an effort by some of the leading experts in the field to present a comprehensive and detailed examination of this approach to understanding how people in the past used the landscape in which they lived.

The Handbook of Archaeological Methods comprises 37 articles by leading archaeologists on the key methods used by archaeologists in the field, in analysis, in theory building, and in managing cultural resources. The book is destined to become the key reference work for archaeologists and their advanced students on contemporary archaeological methods.

Traditional Ecological Knowledge of Pacific Lamprey (Entosphenus tridentatus) in Northeastern Oregon and Southeastern Washington from Indigenous Peoples of the Confederated Tribes of the Umatilla Indian Reservation - David A. Close, Aaron D. Jackson, Brian P. Conner, and Hiram W. Li The Wapato Valley Predictive Model: Prehistoric Archaeological Site Location on the Floodplain of the Columbia River in the Portland Basin - Leslie M. O'Rourke Whales, Boats, and Anthropomorphs: Iconographic and Contextual Analyses of Two Pictograph Sites in Lake Clark National Park, Alaska - Melissa F. Baird The Effects of Multiple High-Ranked Prey Species on the Use of Evenness as a Proxy Measure for Diet Breadth: An Example from the Southeastern Columbia Plateau - Vaughn R. Kimball Abstracts 57th Meeting of the Northwest Anthropological Conference, Eugene, Oregon 211 NAGPRA in Southern Idaho: An Ethnographic Assessment of BLM Shoshone-Paiute Archaeological Collections - Deward E. Walker, Jr.

This book describes a novel machine-learning based approach to answer some traditional archaeological problems, relating to archaeological site detection and site locational preferences. Institutional data collected from six Swiss regions (Zurich, Aargau, Grisons, Vaud, Geneva and Fribourg) have been analyzed with an original conceptual framework based on the Random Forest algorithm. It is shown how the algorithm can assist in the modelling process in connection with heterogeneous, incomplete archaeological datasets and related cultural heritage information. Moreover, an in-depth review of past and more recent works of quantitative methods for archaeological predictive modelling is provided. The book guides the readers to set up their own protocol for: i) dealing with uncertain data, ii) predicting archaeological site location, iii) establishing environmental features importance, iv) and suggest a model validation procedure. It addresses both academics and professionals in archaeology and cultural heritage management, and offers a source of inspiration for future research directions in the field of digital humanities and computational archaeology.