Displaying Time Series, Spatial, and Space-Time Data with R - Info and Reading Options
By Oscar Perpinan Lamigueiro
"Displaying Time Series, Spatial, and Space-Time Data with R" was published by Taylor & Francis Group in 2018, the book is classified in R (Computer program language) genre, it has 270 pages and the language of the book is English.
“Displaying Time Series, Spatial, and Space-Time Data with R” Metadata:
- Title: ➤ Displaying Time Series, Spatial, and Space-Time Data with R
- Author: Oscar Perpinan Lamigueiro
- Language: English
- Number of Pages: 270
- Is Family Friendly: Yes - No Mature Content
- Publisher: Taylor & Francis Group
- Publish Date: 2018
- Genres: R (Computer program language)
“Displaying Time Series, Spatial, and Space-Time Data with R” Subjects and Themes:
- Subjects: ➤ Time-series analysis - Data processing - R (Computer program language) - MATHEMATICS / Probability & Statistics / General - Time-series analysis, data processing - Programming languages (electronic computers) - Série chronologique - Informatique - R (Langage de programmation) - MATHEMATICS - Applied - Probability & Statistics - General - Datenanalyse - R - Raumdaten - Zeitreihenanalyse - Mathematics
Edition Specifications:
- Weight: 0.768
- Pagination: 262
Edition Identifiers:
- Google Books ID: YPSXtQEACAAJ
- The Open Library ID: OL34642514M - OL23180226W
- ISBN-13: 9781138089983
- ISBN-10: 1138089982
- All ISBNs: 9781138089983 - 1138089982
AI-generated Review of “Displaying Time Series, Spatial, and Space-Time Data with R”:
Snippets and Summary:
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.
"Displaying Time Series, Spatial, and Space-Time Data with R" Description:
Google Books:
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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