book

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

by Oscar Perpinan Lamigueiro

April 2014

Beginner to intermediate

208 pages

3h 59m

English

Chapman and Hall/CRC

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1.1 What This Book Is About1.2 What You Will Not Find in This Book1.3 How to Read This Book1.3.1 Website and Code Repository1.4 R Graphics1.4.1 lattice1.4.2 ggplot21.4.3 Comparison between lattice and ggplot21.5 Packages1.6 Software Used to Write This Book1.7 About the Author1.8 Acknowledgments
2.1 Packages2.1.1 zoo2.1.2 xts2.2 Further Reading
3.1 Time Graph of Different Meteorological Variables3.1.1 Annotations to Enhance the Time Graph3.2 Time Series of Variables with the Same Scale3.2.1 Aspect Ratio and Rate of Change3.2.2 The Horizon Graph3.2.3 Time Graph of the Differences between a Time Series and a Reference3.2.4 Interaction with gridSVG3.3 Stacked Graphs3.3.1 Panel and Prepanel Functions to Implement the ThemeRiver with xyplotFigure 3.1Figure 3.2Figure 3.3Figure 3.4Figure 3.5Figure 3.6Figure 3.7Figure 3.8Figure 3.9Figure 3.10Figure 3.11Figure 3.12Figure 3.13Figure 3.14
4.1 Scatterplot Matrix: Time as a Grouping Variable4.1.1 Hexagonal Binning4.2 Scatterplot with Time as a Conditioning VariableFigure 4.1Figure 4.2Figure 4.3Figure 4.4Figure 4.5
5.1 Polylines5.2 Choosing Colors5.3 Labels to Show Time Information5.4 Country Names: Positioning Labels5.5 A Panel for Each Year5.5.1 Using Variable Size to Encode an Additional Variable5.6 Traveling BubblesFigure 5.1Figure 5.2Figure 5.3Figure 5.4Figure 5.5Figure 5.6Figure 5.7Figure 5.8Figure 5.9Figure 5.10
6.1 SIAR6.1.1 Daily Data of Different Meteorological Variables6.1.2 Solar Radiation Measurements from Different Locations6.2 Unemployment in the United States6.3 Gross National Income and CO2 EmissionsFigure 6.1
7.1 Packages7.1.1 sp7.1.2 raster7.1.3 rasterVis7.1.4 maptools7.1.5 rgdal7.1.6 gstat7.1.7 maps7.2 Further Reading

8.1 Proportional Symbol Mapping8.1.1 Introduction8.1.2 Proportional Symbol with spplot8.1.3 Optimal Classification and Sizes to Improve Discrimination8.1.4 Spatial Context with Underlying Layers and Labels8.1.4.1 Static Image8.1.4.2 Vector Data8.1.5 Spatial Interpolation8.1.6 Export to Other Formats8.1.6.1 GeoJSON and OpenStreetMap8.1.6.2 Keyhole Markup Language8.1.7 Additional Information with Tooltips and Hyperlinks8.2 Choropleth Maps8.2.1 Administrative Boundaries8.2.2 Map8.2.3 Categorical and Quantitative Variables Combined in a Multivariate Choropleth Map8.3 Raster Maps8.3.1 Quantitative Data8.3.1.1 Hill Shading8.3.1.2 Excursus: 3D Visualization8.3.1.3 Diverging Palettes8.3.2 Categorical Data8.3.3 Multivariate Legend8.4 Vector Fields8.4.1 Arrow Plot8.4.2 StreamlinesFigure 8.1Figure 8.2Figure 8.3Figure 8.4Figure 8.5Figure 8.6Figure 8.7Figure 8.8Figure 8.9Figure 8.10Figure 8.11Figure 8.12Figure 8.13Figure 8.14Figure 8.15Figure 8.16Figure 8.17Figure 8.18Figure 8.19Figure 8.20Figure 8.21Figure 8.22Figure 8.23Figure 8.24Figure 8.25Figure 8.26Figure 8.27Figure 8.28
9.1 Physical Maps9.1.1 Retrieving Data9.1.2 Intersection of Shapefiles and Elevation Model9.1.3 Labels9.1.4 Overlaying Layers of Information9.2 OpenStreetMap with Hill Shade Layers9.2.1 Retrieving Data from OpenStreetMap9.2.2 Hill Shading9.2.3 Overlaying Layers of InformationFigure 9.1Figure 9.2Figure 9.3
10.1 Air Quality in Madrid10.1.1 Data Arrangement10.1.2 Combine Data and Spatial Locations10.2 Spanish General Elections10.3 CM SAF10.4 Land Cover and Population Rasters
11.1 Packages11.1.1 spacetime11.1.2 raster11.1.3 rasterVis11.2 Further Reading
12.1 Introduction12.1.1 Data12.2 Level Plots12.3 Graphical Exploratory Data Analysis12.4 Space-Time and Time Series Plots12.5 Animation12.5.1 Data12.5.2 Spatial Context: Administrative Boundaries12.5.3 Producing the Frames and the Movie12.5.4 Static ImageFigure 12.1Figure 12.2Figure 12.3Figure 12.4Figure 12.5Figure 12.6Figure 12.7Figure 12.8Figure 12.9
13.1 Introduction13.2 Data and Spatial Information13.3 Graphics with spacetime13.4 Animation13.4.1 Initial Snapshot13.4.2 Intermediate States to Create the Animation13.4.3 Time Reference: Progress Bar13.4.4 Time Reference: A Time Series PlotFigure 13.1Figure 13.2Figure 13.3Figure 13.4Figure 13.5

Overview

Code and Methods for Creating High-Quality Data GraphicsA 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.F

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Publisher Resources

ISBN: 9781498786669