Book description
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
Table of contents
- Preliminaries
-
Part I Time Series
- Chapter 2 Displaying Time Series: Introduction
- Chapter 3 Time on the Horizontal Axis
- Chapter 4 Time as a Conditioning or Grouping Variable
- Chapter 5 Time as a Complementary Variable
- Chapter 6 About the Data
-
Part II Spatial Data
- Chapter 7 Displaying Spatial Data: Introduction
-
Chapter 8 Thematic Maps
- 8.1 Proportional Symbol Mapping
- 8.2 Choropleth Maps
- 8.3 Raster Maps
- 8.4 Vector Fields
-
- Figure 8.1
- Figure 8.2
- Figure 8.3
- Figure 8.4
- Figure 8.5
- Figure 8.6
- Figure 8.7
- Figure 8.8
- Figure 8.9
- Figure 8.10
- Figure 8.11
- Figure 8.12
- Figure 8.13
- Figure 8.14
- Figure 8.15
- Figure 8.16
- Figure 8.17
- Figure 8.18
- Figure 8.19
- Figure 8.20
- Figure 8.21
- Figure 8.22
- Figure 8.23
- Figure 8.24
- Figure 8.25
- Figure 8.26
- Figure 8.27
- Figure 8.28
- Chapter 9 Reference and Physical Maps
- Chapter 10 About the Data
-
Part III Space-Time Data
- Chapter 11 Displaying Spatiotemporal Data: Introduction
- Chapter 12 Spatiotemporal Raster Data
- Chapter 13 Spatiotemporal Point Observations
- Bibliography
Product information
- Title: Displaying Time Series, Spatial, and Space-Time Data with R
- Author(s):
- Release date: April 2014
- Publisher(s): Chapman and Hall/CRC
- ISBN: 9781498786669
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