Hardesty and Little provide the most up-to-date guide for assessing the historical significance of archaeological sites that may be eligible to be listed in the National Register of Historic Places. In this second edition, all laws, regulations, and references have been entirely updated. New material on landfills, Japanese internment camps, landscapes, and military properties has been added, along with special case studies on 17th- and 18th-century historical sites and additional chapters on heritage tourism, traditional cultural places, and shipwrecks.

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.

In the past decade a range of formal spatial analysis methods has been developed for the study of human engagement, experience and socialisation within the built environment. Many, although not all, of these emanate from the fields of architectural and urban studies, and draw upon social theories of space that lay emphasis on the role of visibility, movement, and accessibility in the built environment. These approaches are now gaining in popularity among researchers of prehistoric and historic built spaces and are given increasingly more weight in the interpretation of past urban environments. Spatial Analysis and Social Spaces brings together contributions from specialists in archaeology, social theory, and urban planning who explore the theoretical and methodological frameworks associated with the application of new and established spatial analysis methods in past built environments. The focus is mainly on more recent computer-based approaches and on techniques such as access analysis, visibility graph analysis, isovist analysis, agent-based models of pedestrian movement, and 3D visibility approaches. The contributors to this volume examine the relationship between space and social life from many different perspectives, and provide illuminating examples from the archaeology of Greece, Italy and Cyprus, in which intra-site analysis offers valuable insights into the built spaces and societies under study.