Quantifying the Present and Predicting the Past - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantifying the Present and Predicting the Past write by William James Judge. This book was released on 1988. Quantifying the Present and Predicting the Past available in PDF, EPUB and Kindle.
Quantifying the Present and Predicting the Past : Theory, Method, and Application of Archaeological Predictive Modeling
Quantifying the Present and Predicting the Past : Theory, Method, and Application of Archaeological Predictive Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantifying the Present and Predicting the Past : Theory, Method, and Application of Archaeological Predictive Modeling write by Lynne Sebastian. This book was released on 1989. Quantifying the Present and Predicting the Past : Theory, Method, and Application of Archaeological Predictive Modeling available in PDF, EPUB and Kindle.
Quantifying the Present and Predicting the Past
Quantifying the Present and Predicting the Past - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Quantifying the Present and Predicting the Past write by U.S. Department of the Interior. This book was released on 2014-02-20. Quantifying the Present and Predicting the Past available in PDF, EPUB and Kindle. 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.
Case Studies in Archaeological Predictive Modelling
Case Studies in Archaeological Predictive Modelling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Case Studies in Archaeological Predictive Modelling write by Philip Verhagen. This book was released on 2007. Case Studies in Archaeological Predictive Modelling available in PDF, EPUB and Kindle. 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.
Computational and Machine Learning Tools for Archaeological Site Modeling
Computational and Machine Learning Tools for Archaeological Site Modeling - read free eBook in online reader or directly download on the web page. Select files or add your book in reader. Download and read online ebook Computational and Machine Learning Tools for Archaeological Site Modeling write by Maria Elena Castiello. This book was released on 2022-01-24. Computational and Machine Learning Tools for Archaeological Site Modeling available in PDF, EPUB and Kindle. 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.
