This volume of original chapters written by experts in the field offers a snapshot of how historical built spaces, past cultural landscapes, and archaeological distributions are currently being explored through computational social science. It focuses on the continuing importance of spatial and spatio-temporal pattern recognition in the archaeological record, considers more wholly model-based approaches that fix ideas and build theory, and addresses those applications where situated human experience and perception are a core interest. Reflecting the changes in computational technology over the past decade, the authors bring in examples from historic and prehistoric sites in Europe, Asia, and the Americas to demonstrate the variety of applications available to the contemporary researcher.

This book covers the topic of discourse and argumentation in archaeology with an aim to serve the archaeology community. The book presents discourse and argument analysis approaches and techniques in an affordable manner and applied to archaeological situations. It focuses on techniques and approaches that can be applicable to multiple situations, periods and cultures. The book begins with an introduction to discourse and argumentation analysis as a general field and also as an auxiliary technique to archaeology. The work includes conceptual applications, ranging from causality, ontological connections, vagueness, social production of discourse and public debates. The work also devotes a section to computational approaches and describes the specifics of some well-known families of algorithms such as lexical processing, information extraction or sentiment analysis. The conclusion comments on the future and which reflects on the previous chapters and discusses how the presented techniques and approaches should be adapted or improved for easier and more powerful application to archaeology. Contributing authors bring perspectives from archaeology, linguistics, and computer science.

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.

Effective spatial analysis is an essential element of archaeological research; this book is a unique guide to choosing the appropriate technique, applying it correctly and understanding its implications both theoretically and practically. Focusing upon the key techniques used in archaeological spatial analysis, this book provides the authoritative, yet accessible, methodological guide to the subject which has thus far been missing from the corpus. Each chapter tackles a specific technique or application area and follows a clear and coherent structure. First is a richly referenced introduction to the particular technique, followed by a detailed description of the methodology, then an archaeological case study to illustrate the application of the technique, and conclusions that point to the implications and potential of the technique within archaeology. The book is designed to function as the main textbook for archaeological spatial analysis courses at undergraduate and post-graduate level, while its user-friendly structure makes it also suitable for self-learning by archaeology students as well as researchers and professionals.

This book contains a collection of papers discussing questions related to space and movement in the framework of computational archaeology, landscape archaeology, historical geography and archaeological theory. The contributions, written by recognized experts in the field, show how the study of settlements pattern and movement has been dramatically transformed by the use of technology like Geographic Information System (GIS). The papers focus on the ways to approach past movement using GIS in archaeological landscape studies: theoretical, technical and interpretative issues are addressed and explored. They provide the state of the art in theory and methodology and show, by using case studies, the potential of the developed approaches for the understanding of factors and effects of landscape formation and transformation in the long term.

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.

This book focusses on new technologies and multi-method research designs in the field of modern archaeology, which increasingly crosses academic boundaries to investigate past human-environmental relationships and to reconstruct palaeolandscapes. It aims at establishing the concept of Digital Geoarcheology as a novel approach of interdisciplinary collaboration situated at the scientific interface between classical studies, geosciences and computer sciences. Among others, the book includes topics such as geographic information systems, spatiotemporal analysis, remote sensing applications, laser scanning, digital elevation models, geophysical prospecting, data fusion and 3D visualisation, categorized in four major sections. Each section is introduced by a general thematic overview and followed by case studies, which vividly illustrate the broad spectrum of potential applications and new research designs. Mutual fields of work and common technologies are identified and discussed from different scholarly perspectives. By stimulating knowledge transfer and fostering interdisciplinary collaboration, Digital Geoarchaeology helps generate valuable synergies and contributes to a better understanding of ancient landscapes along with their forming processes. Chapters 1, 2, 6, 8 and 14 are published open access under a CC BY 4.0 license at link.springer.com.

The use of formal modelling and computational simulation in studies of the Roman economy has become more common over the last decade. But detailed critical evaluations of this innovative approach are still missing and much needed. What kinds of insights about the Roman economy can it lead to that could not have been obtained through more established approaches, and how do simulation methods constructively enhance research processes in Roman Studies? This edited volume addresses this need through critical discussion and convincing examples. It presents the Roman economy as a highly complex system, traditionally studied through critical examinations of material and textual sources, and understood through a wealth of diverging theories. A key contribution of simulation lies in its ability to formally represent diverse theories of Roman economic phenomena, and test them against empirical evidence. Critical simulation studies rely on collaboration across Roman data, theory, and method specialisms, and can constructively enhance multivocality of theoretical debates of the Roman economy. This potential is illustrated, avoiding computational and mathematical language, through simulation studies of a wealth of Roman economic phenomena: from maritime trade and terrestrial transport infrastructures, through the economic impacts of the Antonine Plague and demography, to local cult economies and grain trade. Through these examples and discussions, this volume aims to provide the common ground, guidance, and inspiration needed to make simulation methods part of the tools of the trade in Roman Studies, and to allow them to make constructive contributions to our understanding of the Roman economy.

This book highlights the diversity of current methodologies in Classical Archaeology. It includes papers about archaeology and art history, museum objects and fieldwork data, texts and material culture, archaeological theory and historiography, and technical and literary analysis, across Classical Antiquity.

This open-access book surveys how digital technology can contribute effectively to improving our understanding of the past, through a sensory engagement based on the evidence of material culture. In particular, it encourages specialists to consider senses and human agency as important factors in studying ancient space, while recognising the role played by digital tools in enhancing a human-centred form of analysis. Significant advances in archaeological computing, digital methods, and sensory approaches have led archaeologists to rethink strategies and methods for creating narratives of the past. Recent progress in data visualisation and implementation, as well as other nascent digital sensory methods, means that it is now easier to explore and experience ancient space from a multiscalar perspective, from the individual body or single building to the wider landscape. The chapters in Capturing the Senses: Digital Methods for Sensory Archaeologies present innovative methods for representing an embodied experience of ancient space, simulating (but not recreating) ancient behaviours and social interaction. Chapters cover topics including the potentials and pitfalls of visualising, recreating, and re-enacting/experiencing the senses in Virtual Reality environments and also digital reconstructions and auralisations of ancient spaces to study sound sensory perception. Overall, the book demonstrates that multisensory approaches can give a new perspective on how ancient spaces were intended to be used by inhabitants to fulfil a series of purposes including conveying messages and regulating movement. This is an open-access book.