Displaying Time Series, Spatial, and Space-Time Data with R
1st Edition
Published on 4. April 2014
208 pages
978-1-4665-6522-7 (ISBN)
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
Reviews / Votes
"... a practical guide for producing high-quality graphics for time series, spatial data and space-time data using the statistical software package R. ... recommended as a practical guide for readers with fair knowledge of programming with R. All visualization methods are presented by means of real data sets and programming code is available."-Zentralblatt MATH 1306
"... a researcher in this field will particularly benefit from this compact account of some elegant visualization techniques implemented in R for time, space, and timespace data. ... Colorful illustrations that nicely complement the descriptive aspects of the book help in the process of understanding. ... a valuable source of graphical visualization analyses in R ..."
-International Statistical Review, 2015
More details
Series
Language
English
Place of publication
Philadelphia, PA
United States
Publishing group
Taylor & Francis Inc
Target group
College/higher education
Illustrations
76 farbige Abbildungen
76 color images
ISBN-13
978-1-4665-6522-7 (9781466565227)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Oscar Perpinan Lamigueiro
Displaying Time Series, Spatial, and Space-Time Data with R
Stories of Space and Time
Book
04/2014
1st Edition
CRC Press
€94.39
Article exhausted; check different version
Person
Oscar Perpinan Lamigueiro is a lecturer of photovoltaic and solar energy at the Escuela de Organizacion Industrial (EOI) and an assistant professor of electrical engineering at the Universidad Politecnica de Madrid (UPM). He develops R packages that provide graphical methods to display multivariate time series, spatial data, and space-time data (rasterVis and solaR).
Content
Introduction. Time Series: Displaying Time Series: Introduction. Time on the Horizontal Axis. Time as a Conditioning or Grouping Variable. Time as a Complementary Variable. About the Data. Spatial Data: Displaying Spatial Data: Introduction. Thematic Maps. Reference and Physical Maps. About the Data. Space-Time Data: Displaying Spatiotemporal Data: Introduction. Spatiotemporal Raster Data. Spatiotemporal Point Observations. Bibliography. Index.
