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Displaying Time Series, Spatial, and Space-Time Data with R
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Displaying Time Series, Spatial, and Space-Time Data with R

Book Details

Format Paperback / Softback
ISBN-10 1138089982
ISBN-13 9781138089983
Publisher Taylor & Francis Ltd
Imprint CRC Press
Country of Manufacture GB
Country of Publication GB
Publication Date Aug 14th, 2018
Print length 272 Pages
Weight 460 grams
Dimensions 15.60 x 23.50 x 4.00 cms
Product Classification: Probability & statistics
Ksh 13,850.00
Manufactured on Demand 0 in stock

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This book will provide methods to display space-time data using R. The code of each method will be detailed and commented through practical examples with real data. The second edition will discuss new interactive R packages and Add introductory sections with easier examples to show the basics of the most important packages and functions

Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R, Second Edition, presents methods and R code for producing high-quality static graphics, interactive visualizations, and animations of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code.

The book illustrates how to display a dataset starting with an easy and direct approach, and progressively adds improvements that involve more complexity. Each of the three parts of the book is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics.

The first edition of this book was mainly focused on static graphics. Four years later, recent developments in the "htmlwidgets" family of packages are covered in this second edition with many new interactive graphics. In addition, the "ggplot2" approach is now used in most of the spatial graphics, thanks to the new "sf" package. Finally, code has been cleaned and improved, and data has been updated.

Features
• Offers detailed information on producing high-quality graphics, interactive visualizations, and animations
• Uses real data from meteorological, climate, economic, social science, energy, engineering, environmental, and epidemiological research in many practical examples
• Shows how to improve graphics based on visualization theory
• Provides the graphics, data, and R code on the author’s website, enabling you to practice with the methods and modify the code to suit your own needs.


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