Image
Spatial Analysis with R Statistics, Visualization, and Computational Methods Hardcover

Image
Spatial Analysis with R Statistics, Visualization, and Computational Methods Hardcover

Title
Spatial Analysis with R Statistics, Visualization, and Computational Methods Hardcover

Author
Tonny J. Oyana

$
102.00
Price
$120.00
15
% off
% off
All sales are final
Hardcover
120.00
Ebook
120.00

Variations
Upload requirements

Overview

 

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:
1) Includes new practical exercises and worked-out examples using R
2) Presents a wide range of hands-on spatial analysis worktables and lab exercises
3) All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences
4) Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods
5) 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.

 

Product Details

 

ISBN-13: 9780367860851
Publisher: Taylor & Francis
Publication date: 9/2020
Pages: 354
Image
Spatial Analysis with R Statistics, Visualization, and Computational Methods Hardcover
Price
$120.00
Language
English
Author
Tonny J. Oyana
ISBN-13
9780367860851
Publisher
Taylor & Francis
Publish Time
Shipping
Flat rate
Offer
10% Discount
Stock level

10

Is Paperback available?
No
Is Hardcover available?
Yes
Hardcover
120.00
Is Ebook available?
Yes
Ebook
120.00
Category
Science Education

Is Paperback available?
No
Is Hardcover available?
Yes
Is Ebook available?
Yes

Overview

 

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:
1) Includes new practical exercises and worked-out examples using R
2) Presents a wide range of hands-on spatial analysis worktables and lab exercises
3) All chapters are revised and include new illustrations of different concepts using data from environmental and social sciences
4) Expanded material on spatiotemporal methods, visual analytics methods, data science, and computational methods
5) 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.

 

Product Details

 

ISBN-13: 9780367860851
Publisher: Taylor & Francis
Publication date: 9/2020
Pages: 354

reviews
Overall rating
0
5 Stars
0
4 Stars
0
3 Stars
0
2 Stars
0
1 Star
0
Please sign in or create an account to give rating or comment