"In this chapter, we introduce some of the very basics that are used throughout the book. First, we give the definition of a topological space and related notions of open and closed sets, covers, subspace topology. To connect topology and geometry, we devote a section on metric …
1 Introduction -- 2 Prerequisites from Matrix Analysis -- 3 Multivariate Distributions and Moments -- 4 Dimensionality Reduction -- 5 Classification and Clustering -- 6 Support Vector Machines -- 7 Machine Learning -- Index. This book introduces the basic methodologies for succ…
This is a new edition of the accessible and student-friendly 'how to' for anyone using R for the first time, for use in spatial statistical analysis, geocomputation and digital mapping. The authors, once again, take readers from 'zero to hero', updating the now standard text to …
The fully updated Second Edition presents systematic methods for analyzing qualitative data with clear and easy-to-follow steps. The first half is an overview of the basics, from choosing a topic to collecting data and coding to finding themes, while the second half covers diffe…
Pairing each data collection technique with the appropriate analytic method, this book provides readers with information on doing qualitative collection and analysis, and guides them on selecting among the complete variety of qualitative techniques. The fully updated Second Edi…
The fully updated Second Edition presents systematic methods for analyzing qualitative data with clear and easy-to-follow steps. The first half is an overview of the basics, from choosing a topic to collecting data and coding to finding themes, while the second half covers diffe…
