| Titre : | Displaying Time Series, Spatial, and Space-Time Data with R |
| Auteurs : | Lamigueiro Oscar Perpinan, Auteur |
| Type de document : | Monographie imprimée |
| Mention d'édition : | 2e édition |
| Année de publication : | 2018 |
| ISBN/ISSN/EAN : | 978-1-138-08998-3 |
| Format : | 1vol.(272p.) / ill.couv.ill.encoul / 23.5CM |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 519. 5 |
| Mots-clés: | Displaying. Spatial.Space-Time |
| Résumé : |
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 |
| Sommaire : |
Introduction
What This Book Is About What You Will Not Find in This Book How to Read This Book R Graphics Packages Software Used to Write This Book About the Author Acknowledgments I Time Series Displaying Time Series: Introduction Packages Further Reading Time on the Horizontal Axis Time Graph of Variables with Different Scales Time Series of Variables with the Same Scale Stacked Graphs Interactive Graphics Time as a Conditioning or Grouping Variable Scatterplot Matrix: Time as a Grouping Variable Scatterplot with Time as a Conditioning Variable Time as a Complementary Variable Polylines A Panel for Each Year Interactive Graphics: Animation About the Data SIAR Unemployment in the United States Gross National Income and CO Emissions II Spatial Data Displaying Spatial Data: Introduction Packages Further Reading Thematic Maps: Proportional Symbol Mapping Introduction Proportional Symbol Mapping with spplot Proportional Symbol Mapping with ggplot Optimal Classification and Sizes to Improve Discrimination Spatial Context with Underlying Layers and Labels Spatial Interpolation Interactive Graphics Thematic Maps: Choropleth Maps Introduction Quantitative Variable Qualitative Variable Small Multiples with Choropleth Maps Bivariate Map Interactive Graphics Thematic Maps: Raster Maps Quantitative Data Categorical Data bBivariate Legend Interactive Graphics Vector Fields Introduction Arrow Plot Streamlines Physical and Reference Maps Physical Maps Reference maps About the Data Air Quality in Madrid Spanish General Elections CM SAF Land Cover and Population Rasters III Space-Time Data Displaying Spatiotemporal Data: Introduction Packages Further Reading Spatiotemporal Raster Data Introduction Level Plots Graphical Exploratory Data Analysis Space-Time and Time Series Plots Spatiotemporal Point Observations Introduction Graphics with spacetime Animation Depicting variable changes over time: raster data bDepicting variable changes over time: point space-time data Fly-by animation |
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