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Displaying Time Series, Spatial and Space-Time Data with R | O. P. Lamigueiro | 3rd Edition | Taylor & Francis Group (CRC Press) ( English Medium )
|
| 9745-9745 |
The third edition of "Displaying Time Series, Spatial and Space-Time Data with R" by O. P. Lamigueiro is a comprehensive guide for anyone looking to analyze and visualize data using the R programming language. This book covers a wide range of topics related to time series, spatial, and space-time data analysis, making it an essential resource for researchers, analysts, and students in various fields. The book begins with an introduction to R and its capabilities for handling different types of data. It then delves into the basics of time series analysis, covering topics such as trend analysis, seasonality, autocorrelation, and forecasting. The author provides step-by-step instructions on how to use R packages like tsibble and forecast to perform these analyses effectively. In the spatial data section, readers will learn about geostatistics, spatial autocorrelation, kriging, and spatial interpolation techniques. The book also explores how to create maps and visualize spatial data using popular R packages like ggplot2 and leaflet. The final section of the book focuses on space-time data analysis, which involves analyzing data that vary over both space and time. Readers will learn about spatio-temporal modeling techniques like STS models and how to implement them in R using packages like spacetime. Overall, "Displaying Time Series, Spatial and Space-Time Data with R" provides a practical guide to analyzing complex datasets using R. The clear explanations and hands-on examples make it easy for readers to follow along and apply the concepts discussed in their own research projects. Whether you are a beginner or an experienced R user looking to expand your skills in time series or spatial data analysis, this book has something for everyone. With its updated content and new examples from real-world datasets, the third edition is a valuable resource for anyone interested in mastering data visualization techniques in R.
Displaying Time Series, Spatial and Space-Time Data with R (3rd Edition)
Authored by O. P. Lamigueiro, this book is a comprehensive guide to visualizing and analyzing complex datasets using R programming. The 3rd Edition (2026) is fully updated with modern tools, improved techniques, and enhanced examples that reflect current trends in data science, statistics, and spatial analysis.
This book is ideal for data scientists, statisticians, researchers, and students who want to master the visualization of time series, spatial, and spatio-temporal data. It provides a practical, hands-on approach, focusing on how to effectively represent data for better interpretation and decision-making.
The content is structured in a clear and progressive manner, starting with the fundamentals of data visualization in R and gradually advancing to more complex topics. Readers will learn how to handle different types of datasets and present them using powerful R libraries and tools.
Key Features:
- Step-by-step guidance on time series data visualization
- Techniques for handling spatial and geographical data
- Methods for combining space and time data (spatio-temporal analysis)
- Real-world datasets and practical examples
- Use of R packages for advanced graphical representation
- Clear explanations with reproducible code snippets
The book emphasizes clarity and usability, making it suitable even for readers with basic knowledge of R. It bridges the gap between theory and application by demonstrating how to transform raw data into meaningful visual insights.
With 320 pages of well-organized content, this paperback edition is compact yet highly informative. It serves as both a learning resource and a reference guide for professionals working in fields such as data analytics, environmental science, geospatial analysis, finance, and research.
Published by Taylor & Francis Group (CRC Press), the book ensures high-quality academic content and reliability. It is widely used in academic and professional settings for mastering data visualization techniques in R.
Whether you are working on research projects, academic assignments, or industry-level data analysis, this book provides the essential tools and knowledge required to effectively visualize and interpret complex datasets.
Product Details
- Author: O. P. Lamigueiro
- Edition: 3rd Edition
- Published Year: 2026
- Publisher: Taylor & Francis Group (CRC Press)
- Language: English
- Binding: Paperback
- Pages: 320
- ISBN: 9781032779201
- Condition: New
| SKU / BOOK Code: | DTSR-OPL-3ED-2026-PB-978103277 |
| Publisher: | Taylor & Francis Group |
| Author: | Lamigueiro O P |
| Binding Type: | Hardcover |
| No. of Pages: | 320 |
| ISBN-10: | NA |
| ISBN-13: | NA |
| Edition: | 3rd |
| Language: | English Medium |
| Publish Year: | 2026-01 |
| Weight (g): | 350 |
| Product Condition: | New |
| Reading Age: | Above 18 Years |
| Country of Origin: | India |
| Genre: | Medical Books |
| Manufacturer: | Taylor & Francis Group |
| Importer: | Taylor & Francis Group |
| Packer: | Fullfilled by Supplier |
The third edition of "Displaying Time Series, Spatial and Space-Time Data with R" by O. P. Lamigueiro is a comprehensive guide for anyone looking to analyze and visualize data using the R programming language. This book covers a wide range of topics related to time series, spatial, and space-time data analysis, making it an essential resource for researchers, analysts, and students in various fields. The book begins with an introduction to R and its capabilities for handling different types of data. It then delves into the basics of time series analysis, covering topics such as trend analysis, seasonality, autocorrelation, and forecasting. The author provides step-by-step instructions on how to use R packages like tsibble and forecast to perform these analyses effectively. In the spatial data section, readers will learn about geostatistics, spatial autocorrelation, kriging, and spatial interpolation techniques. The book also explores how to create maps and visualize spatial data using popular R packages like ggplot2 and leaflet. The final section of the book focuses on space-time data analysis, which involves analyzing data that vary over both space and time. Readers will learn about spatio-temporal modeling techniques like STS models and how to implement them in R using packages like spacetime. Overall, "Displaying Time Series, Spatial and Space-Time Data with R" provides a practical guide to analyzing complex datasets using R. The clear explanations and hands-on examples make it easy for readers to follow along and apply the concepts discussed in their own research projects. Whether you are a beginner or an experienced R user looking to expand your skills in time series or spatial data analysis, this book has something for everyone. With its updated content and new examples from real-world datasets, the third edition is a valuable resource for anyone interested in mastering data visualization techniques in R.
Displaying Time Series, Spatial and Space-Time Data with R (3rd Edition)
Authored by O. P. Lamigueiro, this book is a comprehensive guide to visualizing and analyzing complex datasets using R programming. The 3rd Edition (2026) is fully updated with modern tools, improved techniques, and enhanced examples that reflect current trends in data science, statistics, and spatial analysis.
This book is ideal for data scientists, statisticians, researchers, and students who want to master the visualization of time series, spatial, and spatio-temporal data. It provides a practical, hands-on approach, focusing on how to effectively represent data for better interpretation and decision-making.
The content is structured in a clear and progressive manner, starting with the fundamentals of data visualization in R and gradually advancing to more complex topics. Readers will learn how to handle different types of datasets and present them using powerful R libraries and tools.
Key Features:
- Step-by-step guidance on time series data visualization
- Techniques for handling spatial and geographical data
- Methods for combining space and time data (spatio-temporal analysis)
- Real-world datasets and practical examples
- Use of R packages for advanced graphical representation
- Clear explanations with reproducible code snippets
The book emphasizes clarity and usability, making it suitable even for readers with basic knowledge of R. It bridges the gap between theory and application by demonstrating how to transform raw data into meaningful visual insights.
With 320 pages of well-organized content, this paperback edition is compact yet highly informative. It serves as both a learning resource and a reference guide for professionals working in fields such as data analytics, environmental science, geospatial analysis, finance, and research.
Published by Taylor & Francis Group (CRC Press), the book ensures high-quality academic content and reliability. It is widely used in academic and professional settings for mastering data visualization techniques in R.
Whether you are working on research projects, academic assignments, or industry-level data analysis, this book provides the essential tools and knowledge required to effectively visualize and interpret complex datasets.
Product Details
- Author: O. P. Lamigueiro
- Edition: 3rd Edition
- Published Year: 2026
- Publisher: Taylor & Francis Group (CRC Press)
- Language: English
- Binding: Paperback
- Pages: 320
- ISBN: 9781032779201
- Condition: New
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