This book covers the methodological, epistemological and practical issues of integrating qualitative and socio-anthropological factors into archaeological modeling. This text fills the gap between conceptual modeling (which usually relies on narratives describing the life of a past community) and formalized/computer-based modeling which are usually environmentally-determined. Methods combining both environmental and social issues through niche and agent-based modeling are presented. These methods help to translate data from paleo-environmental and archaeological society life cycles (such as climate and landscape changes) into the local spatial scale. The epistemological discussions will appeal to readers as well as the resilience socio-anthropological factors provide facing climatic fluctuations. Integrating Qualitative and Social Science Factors in Archaeological Modelling will appeal to students and researchers in the field.
The Cambridge Manual to Archaeological Network Science provides the first comprehensive guide to a field of research that has firmly established itself within archaeological practice in recent years. Network science methods are commonly used to explore big archaeological datasets and are essential for the formal study of past relational phenomena: social networks, transport systems, communication, and exchange. The volume offers a step-by-step description of network science methods and explores its theoretical foundations and applications in archaeological research, which are elaborately illustrated with archaeological examples. It also covers a vast range of network science techniques that can enhance archaeological research, including network data collection and management, exploratory network analysis, sampling issues and sensitivity analysis, spatial networks, and network visualisation. An essential reference handbook for both beginning and experienced archaeological network researchers, the volume includes boxes with definitions, boxed examples, exercises, and online supplementary learning and teaching materials.
This two-volume book presents cutting-edge archaeological research, primarily as practiced in the Eastern Mediterranean region. These volumes’ key foci are inspired by the work of Thomas E. Levy. Volume 1 provides an in-depth look at new archaeological research in the southern Levant (primarily in modern Israel and Jordan) inspired by Levy’s commitment to understanding social, political, and economic processes in a long-term or “deep time” perspective. Volume 2 focuses on new research in several key areas of 21st century anthropological archaeology and archaeological science. Volume 1 is organized around two major themes: 1) the later prehistory of the southern Levant, or the Neolithic, Chalcolithic, and Bronze Age, and 2) new research in biblical archaeology, or the historical archaeology of the Iron Age. Each section contains a combination of new perspectives on key debates and studies introducing new research questions and directions. Volume 2 is organized around five major themes: 1) the archaeology of the Faynan copper ore district of southern Jordan, a key region for archaeometallurgical research in West Asia where Levy conducted field research for over a decade, 2) new research in archaeometallurgy beyond the Faynan region, 3) marine and maritime archaeology, focusing on issues of trade and environmental change, 4) cyber-archaeology, an important 21st century field Levy conceived as “the marriage of archaeology, engineering, computer science, and the natural sciences,” and 5) key issues in anthropological archaeological theory. In addition to presenting the reader with an up-to-date view of research in each of these areas, the volume also has chapters exploring the connections between these themes, e.g. the maritime trade of metals and cyber-/digital archaeological approaches to metallurgy. The work contains contributions from both up-and-coming early career researchers and key established figures in their fields. This book is an essential reference for archaeologists and scholars in related disciplines working in the southern Levant and the Eastern Mediterranean.
This volume deals with the pressing issue of uncertainty in archaeological modeling. Detecting where and when uncertainty is introduced to the modeling process is critical, as are strategies for minimizing, reconciling, or accommodating such uncertainty. Included chapters provide unique perspectives on uncertainty in archaeological modeling, ranging in both theoretical and methodological orientation. The strengths and weaknesses of various identification and mitigation techniques are discussed, in particular sensitivity analysis. The chapters demonstrate that for archaeological modeling purposes, there is no quick fix for uncertainty; indeed, each archaeological model requires intensive consideration of uncertainty and specific applications for calibration and validation. As very few such techniques have been problematized in a systematic manner or published in the archaeological literature, this volume aims to provide guidance and direction to other modelers in the field by distilling some basic principles for model testing derived from insight gathered in the case studies presented. Additionally, model applications and their attendant uncertainties are presented from distinct spatio-temporal contexts and will appeal to a broad range of archaeological modelers. This volume will also be of interest to non-modeling archaeologists, as consideration of uncertainty when interpreting the archaeological record is also a vital concern for the development of non-formal (or implicit) models of human behavior in the past.
This book focuses on innovative strategies to manage and build software systems for generating new knowledge from large archaeological data sets The book also reports on two case studies carried out in real-world scenarios within the Cultural Heritage setting. The book presents an original conceptual framework for developing software solutions to assist the knowledge generation process in connection with large archaeological data sets and related cultural heritage information— a context in which the inputs are mainly textual sources written in freestyle, i.e. without a predetermined, standard structure. Following an in-depth exploration of recent works on the knowledge generation process in the above-mentioned context and IT-based options for facilitating it, the book proposes specific new techniques capable of capturing the structure and semantics implicit in such textual sources, and argues for using this information in the knowledge generation process. The main result is the development of a conceptual framework that can accommodate textual sources and integrate the information included in them into a software engineering framework. The said framework is meant to assist cultural heritage professionals in general, and archaeologists in particular, in both knowledge extraction and the subsequent decision-making process.
This book offers insight into the relationship between prehistoric and protohistoric human populations and the world around them. It reconstructs key aspects of the palaeoenvironment – from large-scale drivers of environmental conditions, such as climate, to more regional variables such as vegetation cover and faunal communities. The volume underscores how computational archaeology is leading the way in the study of past human-environment interactions across spatial and chronological scales. With the increased availability of high-resolution climate models, agent-based modelling, palaeoecological proxies and the mature use of Geographic Information System in ecological modelling, archaeologists working in interdisciplinary settings are well-positioned to explore the intersection of human systems and environmental affordances and constraints. These methodological advancements provide a better understanding of the role humans played in past ecosystems – both in terms of their impact upon the environment and, in return, the impact of environmental conditions on human systems. They may also allow us to infer past ecological knowledge and land-use patterns that are historically contingent, rather than environmentally determined. This volume gathers contributions that combine reconstructions of past environments and archeological data with a view to exploring their complex interactions at different scales and invites scholars from varying disciplines and backgrounds to present and compare different modelling approaches.
This book highlights new and innovative approaches to archaeological research using computational modeling while focusing on the Neolithic transition around the world. The transformative effect of the spread and adoption of agriculture in prehistory cannot be overstated. Consequently, archaeologists have often focused their research on this transition, hoping to understand both the ecological causes and impacts of this shift, as well as the social motivations and constraints involved. Given the complex interplay of socio-ecological factors, the answers to these types of questions cannot be found using traditional archaeological methods alone. Computational modeling techniques have emerged as an effective approach for better understanding prehistoric data sets and the linkages between social and ecological factors at play during periods of subsistence change. Such techniques include agent-based modeling, Bayesian modeling, GIS modeling of the prehistoric environment, and the modeling of small-scale agriculture. As more archaeological data sets aggregate regarding the transition to agriculture, researchers are often left with few ways to relate these sets to one another. Computational modeling techniques such as those described above represent a critical next step in providing archaeological analyses that are important for understanding human prehistory around the world. Given its scope, this book will appeal to the many interdisciplinary scientists and researchers whose work involves archaeology and computational social science. Chapter “The Spread of Agriculture: Quantitative Laws in Prehistory?” is available open access under a Creative Commons Attribution 4.0 International License via springer.com.
Social Complexity and Complex Systems in Archaeology turns to complex systems thinking in search of a suitable framework to explore social complexity in Archaeology. Social complexity in archaeology is commonly related to properties of complex societies such as states, as opposed to so-called simple societies such as tribes or chiefdoms. These conceptualisations of complexity are ultimately rooted in Eurocentric perspectives with problematic implications for the field of archaeology. This book provides an in-depth conceptualisation of social complexity as the core concept in archaeological and interdisciplinary studies of the past, integrating approaches from complex systems thinking, archaeological theory, social practice theory, and sustainability and resilience science. The book covers a long-term perspective of social change and stability, tracing the full cycle of complexity trajectories, from emergence and development to collapse, regeneration and transformation of communities and societies. It offers a broad vision on social complexity as a core concept for the present and future development of archaeology. This book is intended to be a valuable resource for students and scholars in the field of archaeology and related disciplines such as history, anthropology, sociology, as well as the natural sciences studying human-environment interactions in the past.
This volume is designed as a 12-lecture textbook, which can serve as a course companion, self teaching guide and handbook for basic concepts. Each lecture comprises 20 pages, in which the methods are introduced, examples shown and the code is given. All examples are computed with open source software, mainly R, and with archaeological data available from the book's website. The book does not describe elaborated high-end models but rather very basic modelling concepts that serve as components in more complex models. The book enables the reader to construct such models by themselves and be sensitive for certain problems. In addition it gives hints for the interpretation of the results. Students are usually quick to apply fancy methods yet fail in the proper interpretation due to a lack of understanding of the underlying principles. This problem is addressed by the proposed book through three concepts: 1. Command line software forces the students to first learn some details before they are able to produce results on their own. 2. The book is focused on principles and methods. When the students understand a few basic principles, they have far better access to a wide range of related methods. 3. Examples of poor analysis highlight common pitfalls. The volume attempts to be an applied, minimalistic and efficient textbook and is based upon several successful courses.
