2nd Edition
by Tonny J. Oyana (Author)
In the five years since the publication of the first edition of Spatial Analysis: Statistics, Visualization, and Computational Methods,
many new developments have taken shape regarding the implementation of
new tools and methods for spatial analysis with R. The use and growth of
artificial intelligence, machine learning and deep learning algorithms
with a spatial perspective, and the interdisciplinary use of spatial
analysis are all covered in this second edition along with traditional
statistical methods and algorithms to provide a concept-based
problem-solving learning approach to mastering practical spatial
analysis. Spatial Analysis with R: Statistics, Visualization, and Computational Methods, Second Edition
provides a balance between concepts and practicums of spatial
statistics with a comprehensive coverage of the most important
approaches to understand spatial data, analyze spatial relationships and
patterns, and predict spatial processes.
New in the Second Edition:
- Includes new practical exercises and worked-out examples using R
- Presents a wide range of hands-on spatial analysis worktables and lab exercises
- All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences
- Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods
- Explains big data, data management, and data mining
This
second edition of an established textbook, with new datasets, insights,
excellent illustrations, and numerous examples with R, is perfect for
senior undergraduate and first-year graduate students in geography and
the geosciences.
