Normal view MARC view ISBD view

Displaying time series, spatial, and space-time data with R / Oscar Perpiñán Lamigueiro, ETSIDI-UPM, Madrid, Spain.

By: Perpinan Lamigueiro, Oscar.
Material type: materialTypeLabelBookSeries: Chapman & Hall/CRC the R series.Publisher: Boca Raton : CRC Press, Taylor & Francis Group, [2014]Copyright date: ©2014Description: vii, 200 pages : illustrations (chiefly color), color maps ; 24 cm.Content type: text Media type: unmediated Carrier type: volumeISBN: 9781466565203 (hardback : acidfree paper); 1466565209 (hardback : acidfree paper).Subject(s): Time-series analysis -- Data processing | R (Computer program language) | MATHEMATICS / Probability & Statistics / GeneralDDC classification: 519.5502855133 Online resources: Cover image 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"-- Provided by publisher.Summary: "Chapter 1 Introduction 1.1 What this book is about A data graphic is not only an static image. It tells an story about the data. It activates cognitive processes which 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 data sets. There are several excellent books about data graphics and visual perception theory, with guidelines and advice for displaying information including visual examples. Let's mention "The elements of graphical data" [Cleveland, 1994] and "Visualizing Data" [Cleveland, 1993] byW. S. Cleveland, "Envisioning information" [Tufte, 1990] and "The visual display of quantitative information" [Tufte, 2001] by E. Tufte, "The functional art" by A. Cairo [Cairo, 2012], and "Visual thinking for design" by C.Ware [Ware, 2008]. Ordinarily they don't include the code or software tools to produce those graphics. On the other hand, there are a collection of books which provide code and detailed information about the graphical tools available with R. Commonly they do not use real data in the examples, and do not provide advice to improve graphics according to visualization theory. Three books are the unquestioned representatives of this group: "R Graphics" by P. Murrell [Murrell, 2011], "lattice" by D. Sarkar [Sarkar, 2008], and "ggplot2" by H. Wickham [Wickham, 2009]"-- Provided by publisher.
Tags from this library: No tags from this library for this title. Add tag(s)
Log in to add tags.
    average rating: 0.0 (0 votes)
Item type Current location Call number Copy number Status Date due
Monograph Monograph Indian Institute of Management Udaipur
B2/5
519.5502855133 (Browse shelf) 1 Available

Includes bibliographical references (pages 191-196) and 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"-- Provided by publisher.

"Chapter 1 Introduction 1.1 What this book is about A data graphic is not only an static image. It tells an story about the data. It activates cognitive processes which 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 data sets. There are several excellent books about data graphics and visual perception theory, with guidelines and advice for displaying information including visual examples. Let's mention "The elements of graphical data" [Cleveland, 1994] and "Visualizing Data" [Cleveland, 1993] byW. S. Cleveland, "Envisioning information" [Tufte, 1990] and "The visual display of quantitative information" [Tufte, 2001] by E. Tufte, "The functional art" by A. Cairo [Cairo, 2012], and "Visual thinking for design" by C.Ware [Ware, 2008]. Ordinarily they don't include the code or software tools to produce those graphics. On the other hand, there are a collection of books which provide code and detailed information about the graphical tools available with R. Commonly they do not use real data in the examples, and do not provide advice to improve graphics according to visualization theory. Three books are the unquestioned representatives of this group: "R Graphics" by P. Murrell [Murrell, 2011], "lattice" by D. Sarkar [Sarkar, 2008], and "ggplot2" by H. Wickham [Wickham, 2009]"-- Provided by publisher.

There are no comments for this item.

Log in to your account to post a comment.

Powered by Koha