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.
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Produktdetaljer
ISBN
9781000173475
Publisert
2020
Utgave
2. utgave
Utgiver
Vendor
CRC Press
Språk
Product language
Engelsk
Format
Product format
Digital bok
Forfatter