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

By:

Lamigueiro, Oscar Perpinan

Material type: Text

TextSeries: Chapman and Hall/CRC the R SeriesPublication details: Boca Raton CRC Press 2014Description: vii, 200 pISBN:

9781466565203

Subject(s):

DDC classification:

519.5502855133 L2D4

Summary: A 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. Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R presents methods and R code for producing high-quality graphics of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code. The book illustrates how to display a dataset starting with an easy and direct approach and progressively adding improvements that involve more complexity. Each of the book’s three parts is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics. (http://www.crcpress.com/product/isbn/9781466565203)

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Holdings
Item type	Current library	Collection	Call number	Status	Date due	Barcode	Item holds
Book	Ahmedabad	Non-fiction	519.5502855133 L2D4 (Browse shelf(Opens below))	Available		188591

Total holds: 0

A 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.
Focusing on the exploration of data with visual methods, Displaying Time Series, Spatial, and Space-Time Data with R presents methods and R code for producing high-quality graphics of time series, spatial, and space-time data. Practical examples using real-world datasets help you understand how to apply the methods and code.
The book illustrates how to display a dataset starting with an easy and direct approach and progressively adding improvements that involve more complexity. Each of the book’s three parts is devoted to different types of data. In each part, the chapters are grouped according to the various visualization methods or data characteristics.
(http://www.crcpress.com/product/isbn/9781466565203)

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