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Displaying Time Series, Spatial, and Space-Time Data with R / by Oscar Perpinan Lamigueiro.
- Format:
- Book
- Author/Creator:
- Perpiñán Lamigueiro, Óscar, author.
- Series:
- Chapman & Hall/CRC the R series (CRC Press)
- Chapman & Hall/CRC the R series
- Language:
- English
- Subjects (All):
- Time-series analysis--Data processing.
- Time-series analysis.
- R (Computer program language).
- Physical Description:
- 1 online resource (273 pages).
- Edition:
- Second edition.
- Place of Publication:
- Boca Raton, FL : Chapman and Hall/CRC, 2018.
- Summary:
- 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.
- Contents:
- 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
- Notes:
- Previous edition: 2014.
- 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
- Includes bibliographical references and index.
- Description based on print version record.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9781351611350
- 1351611356
- 9781315108872
- 1315108879
- OCLC:
- 1053986688
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