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Ecological Models and Data in R. Benjamin M. Statistical Methods for Geography. Peter A Rogerson. Geostatistics Explained. Steve McKillup. Steven K. Richard Chandler.

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Statistics for Archaeologists. Robert D. Practical Statistics for Geographers and Earth Scientists. Nigel Walford. Hierarchical Modeling and Inference in Ecology. Andrew Royle. Quantitative Zoology. George Gaylord Simpson. Quantitative Conservation of Vertebrates. Michael J. Statistics for Geography and Environmental Science.

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Professor Norman Blaikie. Modeling Uncertainty in the Earth Sciences. Jef Caers. Strategies for Quantitative Research. Grant S. Statistics for Anthropology. Lorena Madrigal. Scott Pardo. Using Statistics to Understand the Environment. Penny A. Practical Statistics for Field Biology. Jim Fowler. Especially the growing interest in pattern recognition, machine learning and the classification of information emerged within the last years, led by major information processing companies eg. Many new and interesting approaches to this topic were developed that hopefully find their way into archaeological reasoning.


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In our session we would like to survey the current state-of-the-art research for the classification of archaeological datasets. The aim of the session is to provide a better understanding of classification methods and algorithms and of validation techniques since a sound methodological knowledge is required choose the right approaches among many competing approaches. In particular, a tight connection between method and theory which is essential for a valid interpretation of the results has to be based on this kind of knowledge rather than on methodological fashions.

We would like to welcome presentations on recent applications of machine learning, clustering approaches, and related regression methods in the field of archaeology. Presentations will explore methods for evaluating the accuracy of classifications, and investigating the implications of different classification methods for archaeological interpretation and understanding. Reports on how to deal with the challenges of applying modern computational methods to sparse and problematic archaeological datasets will also be included in this session.

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Department of Archaeology

The current trends in Geographic Information Systems hardware and applications suggest that Mobile GIS will be the main mapping tool for future surveying in different fields. Will it be also true for archaeology? Taking into account that the discipline has always followed technological trends, the answer is easy. We would like to discuss how the introduction of Geographic Information System and GNSS mobile applications available on gadgets of everyday use opened a new chapter in archaeological field survey techniques.

The most valuable will be case studies and research projects. Thus, we would like to invite topics presenting not only possibilities, but also obstacles encountered during research.


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The goal of this session is to discuss not only problems which can occur in the field while working, but also to take a step back, and consider methodological approaches that are or should be used while using any type of device with any type of GIS application from a wide spectrum available nowadays.