Displaying time series, spatial, and space-time data with R /
General Material Designation
[Book]
First Statement of Responsibility
Óscar Perpiñán Lamigueiro.
EDITION STATEMENT
Edition Statement
Second edition.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Boca Raton :
Name of Publisher, Distributor, etc.
CRC Press, Taylor & Francis Group,
Date of Publication, Distribution, etc.
2018.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (viii, 264 pages) :
Other Physical Details
illustrations
SERIES
Series Title
Chapman & Hall/CRC The R series
GENERAL NOTES
Text of Note
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
Text of Note
Previous edition: 2014.
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
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
Text of Note
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
Text of Note
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
Text of Note
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
Text of Note
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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SUMMARY OR ABSTRACT
Text of Note
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.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Ingram Content Group
Stock Number
9781351611350
OTHER EDITION IN ANOTHER MEDIUM
Title
Displaying time series, spatial, and space-time data with R.