Displaying time series, spatial, and space-time data with R /
[Book]
Óscar Perpiñán Lamigueiro.
Second edition.
Boca Raton :
CRC Press, Taylor & Francis Group,
2018.
1 online resource (viii, 264 pages) :
illustrations
Chapman & Hall/CRC The R series
Introduction. TIME SERIES . Displaying Time Series: Introduction. Time as a Conditioning or Grouping Variable. Time as a Complementary Variable. About the Data. SPATIAL DATA. Displaying Spatial Data: Introduction. Spatiotemporal Raster Data. Spatiotemporal Point Observations
Previous edition: 2014.
Includes bibliographical references and index.
Cover; Half title; Series Editors; Title; Copyrights; Contents; Chapter 1 Introduction; 1.1 What This Book Is About; 1.2 What You Will Not Find in This Book; 1.3 How to Read This Book; 1.4 R Graphics; 1.5 Packages; 1.6 Software Used to Write This Book; 1.7 About the Author; 1.8 Acknowledgments; Part I Time Series; Chapter 2 Displaying Time Series: Introduction; 2.1 Packages; 2.2 Further Reading; Chapter 3 Time on the Horizontal Axis; 3.1 Time Graph of Variables with Different Scales; 3.2 Time Series of Variables with the Same Scale; 3.3 Stacked Graphs; 3.4 Interactive Graphics
8.2 Proportional Symbol Mapping with spplot8.3 Proportional Symbol Mapping with ggplot; 8.4 Optimal Classification to Improve Discrimination; 8.5 Spatial Context with Underlying Layers and Labels; 8.6 Spatial Interpolation; 8.7 Interactive Graphics; Chapter 9 Thematic Maps: Choropleth Maps; 9.1 Introduction; 9.2 Quantitative Variable; 9.3 Qualitative Variable; 9.4 Small Multiples with Choropleth Maps; 9.5 Bivariate Map; 9.6 Interactive Graphics; Chapter 10 Thematic Maps: Raster Maps; 10.1 Quantitative Data; 10.2 Categorical Data; 10.3 bBivariate Legend; 10.4 Interactive Graphics
Chapter 11 Vector Fields11.1 Introduction; 11.2 Arrow Plot; 11.3 Streamlines; Chapter 12 Physical and Reference Maps; 12.1 Physical Maps; 12.2 Reference maps; Chapter 13 About the Data; 13.1 Air Quality in Madrid; 13.2 Spanish General Elections; 13.3 CM SAF; 13.4 Land Cover and Population Rasters; Part III Space-Time Data; Chapter 14 Displaying Spatiotemporal Data: Introduction; 14.1 Packages; 14.2 Further Reading; Chapter 15 Spatiotemporal Raster Data; 15.1 Introduction; 15.2 Level Plots; 15.3 Graphical Exploratory Data Analysis; 15.4 Space-Time and Time Series Plots
Chapter 16 Spatiotemporal Point Observations16.1 Introduction; 16.2 Graphics with spacetime; Chapter 17 Animation; 17.1 Depicting Variable Changes Over Time: Raster Data; 17.2 bDepicting Variable Changes Over Time: Point Space-Time Data; 17.3 Fly-by Animation; Part IV Glossary, Bibliography and Index; Bibliography; Index
Chapter 4 Time as a Conditioning or Grouping Variable4.1 Scatterplot Matrix: Time as a Grouping Variable; 4.2 Scatterplot with Time as a Conditioning Variable; Chapter 5 Time as a Complementary Variable; 5.1 Polylines; 5.2 A Panel for Each Year; 5.3 Interactive Graphics: Animation; Chapter 6 About the Data; 6.1 SIAR; 6.2 Unemployment in the United States; 6.3 Gross National Income and CO2 Emissions; Part II Spatial Data; Chapter 7 Displaying Spatial Data: Introduction; 7.1 Packages; 7.2 Further Reading; Chapter 8 Thematic Maps: Proportional Symbol Mapping; 8.1 Introduction
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Focusing on the exploration of data with visual methods, this book 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. 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. Recent developments in the "htmlwidgets" family of packages are covered in this second edition with many new interactive graphics.
Ingram Content Group
9781351611350
Displaying time series, spatial, and space-time data with R.