Displaying time series, spatial, and space-time data with R / Oscar Perpinan Lamigueiro.
Tipo de material:
TextoSeries Chapman & HallEditor: Boca Raton : CRC Press, [2014]Descripción: vii, 200 páginas : ilustraciones ; 24 cmTipo de contenido: text Tipo de medio: unmediated Tipo de portador: volumeISBN: 9781466565203Tema(s): Análisis de series temporales -- Procesamiento de datos | R (Lenguaje de programación de computadoras) | Matemáticas -- Probabilidad y estadísticaClasificación LoC:QA280 | .P47Clasificación: Resumen: "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.Resumen: "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.
| Tipo de ítem | Biblioteca actual | Tipo de materiales | Clasificación | Copia número | Estado | Fecha de vencimiento | Código de barras |
|---|---|---|---|---|---|---|---|
| Préstamo por proyecto | Biblioteca Gerardo Cornejo Murrieta Acervo General | Libro | QA280 .P47 (Navegar estantería(Abre debajo)) | Ej. 1 | Prestado | 23/04/2025 | 55371 |
Navegando Biblioteca Gerardo Cornejo Murrieta Estantes, Ubicación: Acervo General, Código de colección: Libro Cerrar el navegador de estanterías (Oculta el navegador de estanterías)
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| QA278.2 .M35 Quantile regression for spatial date / | QA278.2 .O53 Spatial analysis along networks : | QA278.3 .R35 Applied structural equation modelling for researchers and practitioners : | QA280 .P47 Displaying time series, spatial, and space-time data with R / | QA300 .B76 Análisis diferencial / | QA371 .K57 2021 An introduction to the mathematical theory of inverse problems / | QA402 .B53 Multilayer networks : |
PROMEP LIR compra junio 2014 89.51 usd
Incluye referencias bibliográficas
"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.
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