Overview

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.

Full Product Details

Author:   Oliver Nakoinz ,  Daniel Knitter
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2016
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   5.384kg
ISBN:  

9783319295367

ISBN 10:   3319295365
Pages:   255
Publication Date:   15 April 2016
Audience:   College/higher education ,  Professional and scholarly ,  Tertiary & Higher Education ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

Chapter 1:Introduction and Mathematics.- Chapter 2: Theory of Modelling.- Chapter 3: Software.- Chapter 4: Density.- Chapter 5: Regression and Interpolation.- Chapter 6: Location and Characterisation.- Chapter 7: Point Pattern.- Chapter 8: Boundaries.- Chapter 9: Networks.- Chapter 10: Interaction.- Chapter 11: Perception of Landscapes.- Chapter 12: Simulations.

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Oliver Nakoinz Daniel Knitter

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