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Displaying time series, spatial, and space-time data with R / Oscar Perpinan Lamigueiro.

By: Material type: TextTextSeries: Chapman & Hall/CRC the R seriesPublication details: Boca Raton : CRC Press, 2014.Description: vii, 200 p. : illustrations (chiefly color), color maps ; 24 cmISBN:
  • 9781466565203 (hardback : acidfree paper)
Subject(s): DDC classification:
  • 519.5502855133 23 L231
Contents:
1. Introduction-- I Time Series: 2. Displaying time series: introduction-- 3. Time on the horizontal axis-- 4. Time as a conditioning of grouping variable-- 5. Time as a complementary variable-- 6. About the data-- II Spatial data: 7. Displaying spatial data: introduction-- 8. Thematic maps-- 9. Reference and physical maps-- 10. About the data-- III Space-time data: 11. Displaying spatiotemporal data: introduction-- 12. Spatiotemporal aster data-- 13. Spatiotemporal point observations-- Bibliography-- Index.
Summary: "This book explores methods to display time series, spatial and spacetimedata using R, and aims to be a synthesis of both groups providing code and detailed information to produce high quality graphics with practical examples. Organized into three parts, the book covers the various visualization methods or data characteristics. The chapters are structured as independent units so readers can jump directly to a certain chapter according to their needs. Dependencies and redundancies between the set of chapters have been conveniently signaled with cross-references"--
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Includes bibliographical references (pages 191-196) and index.

1. Introduction--
I Time Series:
2. Displaying time series: introduction--
3. Time on the horizontal axis--
4. Time as a conditioning of grouping variable--
5. Time as a complementary variable--
6. About the data--

II Spatial data:
7. Displaying spatial data: introduction--
8. Thematic maps--
9. Reference and physical maps--
10. About the data--

III Space-time data:
11. Displaying spatiotemporal data: introduction--
12. Spatiotemporal aster data--
13. Spatiotemporal point observations--
Bibliography--
Index.

"This book explores methods to display time series, spatial and spacetimedata using R, and aims to be a synthesis of both groups providing code and detailed information to produce high quality graphics with practical examples. Organized into three parts, the book covers the various visualization methods or data characteristics. The chapters are structured as independent units so readers can jump directly to a certain chapter according to their needs. Dependencies and redundancies between the set of chapters have been conveniently signaled with cross-references"--

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