Displaying time series, spatial, and space-time data with R
By Oscar Perpinan Lamigueiro
"Displaying time series, spatial, and space-time data with R" was published by CRC Press, Taylor & Francis Group in 2014 - Boca Raton, it has 200 pages and the language of the book is English.
“Displaying time series, spatial, and space-time data with R” Metadata:
- Title: ➤ Displaying time series, spatial, and space-time data with R
- Author: Oscar Perpinan Lamigueiro
- Language: English
- Number of Pages: 200
- Publisher: ➤ CRC Press, Taylor & Francis Group
- Publish Date: 2014
- Publish Location: Boca Raton
“Displaying time series, spatial, and space-time data with R” Subjects and Themes:
- Subjects: ➤ Time-series analysis - Data processing - R (Computer program language) - MATHEMATICS / Probability & Statistics / General - Time-series analysis, data processing - Programming languages (electronic computers) - Série chronologique - Informatique - R (Langage de programmation) - MATHEMATICS - Applied - Probability & Statistics - General - Datenanalyse - R - Raumdaten - Zeitreihenanalyse - Mathematics
Edition Specifications:
- Pagination: vii, 200 pages
Edition Identifiers:
- The Open Library ID: OL31016119M - OL23180226W
- Online Computer Library Center (OCLC) ID: 878149160 - 949811304 - 794041262
- Library of Congress Control Number (LCCN): 2014001305
- ISBN-13: 9781466565203 - 9781466565227 - 9781498786669
- ISBN-10: 1466565209
- All ISBNs: 1466565209 - 9781466565203 - 9781466565227 - 9781498786669
AI-generated Review of “Displaying time series, spatial, and space-time data with R”:
"Displaying time series, spatial, and space-time data with R" Description:
The Open Library:
"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"-- "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]"--
Open Data:
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
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