Name: Spatial Analysis With r: Statistics, Visualization, and Computational Methods (en Inglés)
SKU: 55677835
Price: 57.88 USD
Availability: InStock
Author: Tonny J. Oyana

portada Spatial Analysis With r: Statistics, Visualization, and Computational Methods (en Inglés)

Spatial Analysis With r: Statistics, Visualization, and Computational Methods (en Inglés)

Formato

Libro Físico

Editorial

Crc Press

Autor

Tonny J. Oyana

Idioma

Inglés

N° páginas

334

Encuadernación

Tapa Blanda

ISBN13

9780367532383

N° edición

Spatial Analysis With r: Statistics, Visualization, and Computational Methods (en Inglés)

Tonny J. Oyana (Autor) · Crc Press · Tapa Blanda

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Reseña del libro "Spatial Analysis With r: Statistics, Visualization, and Computational Methods (en Inglés)"

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.