Although many archaeologists have a good understanding of the basics in computer science, statistics, geostatistics, modeling, and data mining, more literature is needed about the advanced analysis in these areas. This book aids archaeologists in learning more advanced tools and methods while also helping mathematicians, statisticians, and computer
Reveals the extent to which Foucault's approach to language in The Archaeology of Knowledge was influenced by the mathematical sciences, adopting a mode of thought indebted to thinkers in the scientific and epistemological traditions such as Cavailles and
This book introduces archaeologists to the most important quantitative methods, from the initial description of archaeological data to techniques of multivariate analysis. These are presented in the context of familiar problems in archaeological practice, an approach designed to illustrate their relevance and to overcome the fear of mathematics from which archaeologists often suffer.
This book is for students and practitioners of archaeology. It offers an introductory survey of all the applications of mathematical and statistical techniques to their work. These applications are increasingly concerned with computerized data classification and quantification, and their effect is to reduce the level of uncertainty in the interpretation of the evidence that time and chance have left. Any archaeologist wanting to find out what these new methods have to offer has hitherto been forced to search for information in the specialist handbooks, conference proceedings, and review articles of his own, and very often of other, disciplines. This book brings the information conveniently together, so far as it pertains to archaeology, and permits an assessment of its relevance and quality. Those who have been daunted by the specialist knowledge apparently demanded will now be able to acquire a thorough grasp of principles and practices. Only an elementary knowledge of mathematics is presumed throughout. Part 1 provides a brief introduction to basic concepts in archaeology and mathematics. Part 2 relates the standard archaeological techniques and procedures to mathematics; it concentrates on numerical approaches best suited to archaeological practices. Part 3 examines various automatic seriation techniques and discusses further work that is coming to play an essential part in the development of archaeology.
This second edition of the classic textbook, The Archaeologist’s Laboratory, is a substantially revised work that offers updated information on the archaeological work that follows fieldwork, such as the processing and analysis of artifacts and other evidence. An overarching theme of this edition is the quality and validity of archaeological arguments and the data we use to support them. The book introduces many of the laboratory activities that archaeologists carry out and the ways we can present research results, including graphs and artifact illustrations. Part I introduces general topics concerning measurement error, data quality, research design, typology, probability and databases. It also includes data presentation, basic artifact conservation, and laboratory safety. Part II offers brief surveys of the analysis of lithics and ground stone, pottery, metal artifacts, bone and shell artifacts, animal and plant remains, and sediments, as well as dating by stratigraphy, seriation and chronometric methods. It concludes with a chapter on archaeological illustration and publication. A new feature of the book is illustration of concepts through case studies from around the world and from the Palaeolithic to historical archaeology.The text is appropriate for senior undergraduate students and will also serve as a useful reference for graduate students and professional archaeologists.
This text reviews the theory, concepts, and basic methods involved in archaeological analysis with the aim of familiarizing both students and professionals with its underlying principles. Topics covered include the nature and presentation of data; database and research design; sampling and quantification; analyzing lithics, pottery, faunal, and botanical remains; interpreting dates; and archaeological illustration. A glossary of key terms completes the book.
This volume brings together a selection of papers proposed for the Proceedings of the 42nd Computer Applications and Quantitative Methods in Archaeology conference (CAA), hosted at Paris 1 Pantheon-Sorbonne University from 22nd to 25th April 2014.