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

Book Description

Code and Methods for Creating High-Quality Data Graphics

A data graphic is not only a static image, but it also tells a story about the data. It activates cognitive processes that are able to detect patterns and discover information not readily available with the raw data. This is particularly true for time series, spatial, and space-time datasets.

Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R presents methods and R code for producing high-quality graphics 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 adding improvements that involve more complexity. Each of the book’s three parts is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics.

Web Resource
Along with the main graphics from the text, the author’s website offers access to the datasets used in the examples as well as the full R code. This combination of freely available code and data enables you to practice with the methods and modify the code to suit your own needs.

Table of Contents

  1. Preliminaries
    1. Chapter 1 Introduction
      1. 1.1 What This Book Is About
      2. 1.2 What You Will <span xmlns="http://www.w3.org/1999/xhtml" xmlns:epub="http://www.idpf.org/2007/ops" class="cItalic">Not</span> Find in This Book Find in This Book
      3. 1.3 How to Read This Book
        1. 1.3.1 Website and Code Repository
      4. 1.4 R Graphics
        1. 1.4.1 lattice
        2. 1.4.2 ggplot2
        3. 1.4.3 Comparison between lattice and ggplot2
      5. 1.5 Packages
      6. 1.6 Software Used to Write This Book
      7. 1.7 About the Author
      8. 1.8 Acknowledgments
  2. Part I Time Series
    1. Chapter 2 Displaying Time Series: Introduction
      1. 2.1 Packages
        1. 2.1.1 zoo
        2. 2.1.2 xts
      2. 2.2 Further Reading
    2. Chapter 3 Time on the Horizontal Axis
      1. 3.1 Time Graph of Different Meteorological Variables
        1. 3.1.1 Annotations to Enhance the Time Graph
      2. 3.2 Time Series of Variables with the Same Scale
        1. 3.2.1 Aspect Ratio and Rate of Change
        2. 3.2.2 The Horizon Graph
        3. 3.2.3 Time Graph of the Differences between a Time Series and a Reference
        4. 3.2.4 Interaction with <span xmlns="http://www.w3.org/1999/xhtml" xmlns:epub="http://www.idpf.org/2007/ops" class="code">gridSVG</span>
      3. 3.3 Stacked Graphs
        1. 3.3.1 Panel and Prepanel Functions to Implement the ThemeRiver with <span xmlns="http://www.w3.org/1999/xhtml" xmlns:epub="http://www.idpf.org/2007/ops" class="code">xyplot</span>
        1. Figure 3.1
        2. Figure 3.2
        3. Figure 3.3
        4. Figure 3.4
        5. Figure 3.5
        6. Figure 3.6
        7. Figure 3.7
        8. Figure 3.8
        9. Figure 3.9
        10. Figure 3.10
        11. Figure 3.11
        12. Figure 3.12
        13. Figure 3.13
        14. Figure 3.14
    3. Chapter 4 Time as a Conditioning or Grouping Variable
      1. 4.1 Scatterplot Matrix: Time as a Grouping Variable
        1. 4.1.1 Hexagonal Binning
      2. 4.2 Scatterplot with Time as a Conditioning Variable
        1. Figure 4.1
        2. Figure 4.2
        3. Figure 4.3
        4. Figure 4.4
        5. Figure 4.5
    4. Chapter 5 Time as a Complementary Variable
      1. 5.1 Polylines
      2. 5.2 Choosing Colors
      3. 5.3 Labels to Show Time Information
      4. 5.4 Country Names: Positioning Labels
      5. 5.5 A Panel for Each Year
        1. 5.5.1 Using Variable Size to Encode an Additional Variable
      6. 5.6 Traveling Bubbles
        1. Figure 5.1
        2. Figure 5.2
        3. Figure 5.3
        4. Figure 5.4
        5. Figure 5.5
        6. Figure 5.6
        7. Figure 5.7
        8. Figure 5.8
        9. Figure 5.9
        10. Figure 5.10
    5. Chapter 6 About the Data
      1. 6.1 SIAR
        1. 6.1.1 Daily Data of Different Meteorological Variables
        2. 6.1.2 Solar Radiation Measurements from Different Locations
      2. 6.2 Unemployment in the United States
      3. 6.3 Gross National Income and CO<span xmlns="http://www.w3.org/1999/xhtml" xmlns:epub="http://www.idpf.org/2007/ops" class="cSubscript">2</span> Emissions Emissions
        1. Figure 6.1
  3. Part II Spatial Data
    1. Chapter 7 Displaying Spatial Data: Introduction
      1. 7.1 Packages
        1. 7.1.1 sp
        2. 7.1.2 raster
        3. 7.1.3 rasterVis
        4. 7.1.4 maptools
        5. 7.1.5 rgdal
        6. 7.1.6 gstat
        7. 7.1.7 maps
      2. 7.2 Further Reading
    2. Chapter 8 Thematic Maps
      1. 8.1 Proportional Symbol Mapping
        1. 8.1.1 Introduction
        2. 8.1.2 Proportional Symbol with <span xmlns="http://www.w3.org/1999/xhtml" xmlns:epub="http://www.idpf.org/2007/ops" class="code">spplot</span>
        3. 8.1.3 Optimal Classification and Sizes to Improve Discrimination
        4. 8.1.4 Spatial Context with Underlying Layers and Labels
          1. 8.1.4.1 Static Image
          2. 8.1.4.2 Vector Data
        5. 8.1.5 Spatial Interpolation
        6. 8.1.6 Export to Other Formats
          1. 8.1.6.1 GeoJSON and OpenStreetMap
          2. 8.1.6.2 Keyhole Markup Language
        7. 8.1.7 Additional Information with Tooltips and Hyperlinks
      2. 8.2 Choropleth Maps
        1. 8.2.1 Administrative Boundaries
        2. 8.2.2 Map
        3. 8.2.3 Categorical and Quantitative Variables Combined in a Multivariate Choropleth Map
      3. 8.3 Raster Maps
        1. 8.3.1 Quantitative Data
          1. 8.3.1.1 Hill Shading
          2. 8.3.1.2 Excursus: 3D Visualization
          3. 8.3.1.3 Diverging Palettes
        2. 8.3.2 Categorical Data
        3. 8.3.3 Multivariate Legend
      4. 8.4 Vector Fields
        1. 8.4.1 Arrow Plot
        2. 8.4.2 Streamlines
        1. Figure 8.1
        2. Figure 8.2
        3. Figure 8.3
        4. Figure 8.4
        5. Figure 8.5
        6. Figure 8.6
        7. Figure 8.7
        8. Figure 8.8
        9. Figure 8.9
        10. Figure 8.10
        11. Figure 8.11
        12. Figure 8.12
        13. Figure 8.13
        14. Figure 8.14
        15. Figure 8.15
        16. Figure 8.16
        17. Figure 8.17
        18. Figure 8.18
        19. Figure 8.19
        20. Figure 8.20
        21. Figure 8.21
        22. Figure 8.22
        23. Figure 8.23
        24. Figure 8.24
        25. Figure 8.25
        26. Figure 8.26
        27. Figure 8.27
        28. Figure 8.28
    3. Chapter 9 Reference and Physical Maps
      1. 9.1 Physical Maps
        1. 9.1.1 Retrieving Data
        2. 9.1.2 Intersection of Shapefiles and Elevation Model
        3. 9.1.3 Labels
        4. 9.1.4 Overlaying Layers of Information
      2. 9.2 OpenStreetMap with Hill Shade Layers
        1. 9.2.1 Retrieving Data from OpenStreetMap
        2. 9.2.2 Hill Shading
        3. 9.2.3 Overlaying Layers of Information
        1. Figure 9.1
        2. Figure 9.2
        3. Figure 9.3
    4. Chapter 10 About the Data
      1. 10.1 Air Quality in Madrid
        1. 10.1.1 Data Arrangement
        2. 10.1.2 Combine Data and Spatial Locations
      2. 10.2 Spanish General Elections
      3. 10.3 CM SAF
      4. 10.4 Land Cover and Population Rasters
  4. Part III Space-Time Data
    1. Chapter 11 Displaying Spatiotemporal Data: Introduction
      1. 11.1 Packages
        1. 11.1.1 spacetime
        2. 11.1.2 raster
        3. 11.1.3 rasterVis
      2. 11.2 Further Reading
    2. Chapter 12 Spatiotemporal Raster Data
      1. 12.1 Introduction
        1. 12.1.1 Data
      2. 12.2 Level Plots
      3. 12.3 Graphical Exploratory Data Analysis
      4. 12.4 Space-Time and Time Series Plots
      5. 12.5 Animation
        1. 12.5.1 Data
        2. 12.5.2 Spatial Context: Administrative Boundaries
        3. 12.5.3 Producing the Frames and the Movie
        4. 12.5.4 Static Image
        1. Figure 12.1
        2. Figure 12.2
        3. Figure 12.3
        4. Figure 12.4
        5. Figure 12.5
        6. Figure 12.6
        7. Figure 12.7
        8. Figure 12.8
        9. Figure 12.9
    3. Chapter 13 Spatiotemporal Point Observations
      1. 13.1 Introduction
      2. 13.2 Data and Spatial Information
      3. 13.3 Graphics with spacetime
      4. 13.4 Animation
        1. 13.4.1 Initial Snapshot
        2. 13.4.2 Intermediate States to Create the Animation
        3. 13.4.3 Time Reference: Progress Bar
        4. 13.4.4 Time Reference: A Time Series Plot
        1. Figure 13.1
        2. Figure 13.2
        3. Figure 13.3
        4. Figure 13.4
        5. Figure 13.5
  5. Bibliography