Displaying time series, spatial, and space-time data with R

著者

• Perpinan Lamigueiro, Oscar

書誌事項

Displaying time series, spatial, and space-time data with R

Oscar Perpiñán Lamigueiro

（The R series）

CRC Press, c2014

• : hardback

注記

Bibliography: p. 191-196

Includes index

内容説明・目次

内容説明

Code and Methods for Creating High-Quality Data Graphics 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. Web Resource Along with the main graphics from the text, the author's website offers access to the datasets used in the examples as well as the full R code. This combination of freely available code and data enables you to practice with the methods and modify the code to suit your own needs.

目次

Introduction What This Book Is About What You Will Not Find in This Book How to Read This Book R Graphics Packages Software Used to Write This Book About the Author Acknowledgments TIME SERIES Displaying Time Series: Introduction Packages Further Reading Time on the Horizontal Axis Time Graph of Different Meteorological Variables Time Series of Variables with the Same Scale Stacked Graphs Time as a Conditioning or Grouping Variable Scatterplot Matrix: Time as a Grouping Variable Scatterplot with Time as a Conditioning Variable Time as a Complementary Variable Polylines Choosing Colors Labels to Show Time Information Country Names: Positioning Labels A Panel for Each Year Traveling Bubbles About the Data SIAR Unemployment in the United States Gross National Income and CO2 Emissions SPATIAL DATA Displaying Spatial Data: Introduction Packages Further Reading Thematic Maps Proportional Symbol Mapping Choropleth Maps Raster Maps Vector Fields Reference and Physical Maps Physical Maps OpenStreetMap with Hill Shade Layers About the Data Air Quality in Madrid Spanish General Elections CM SAF Land Cover and Population Rasters SPACE-TIME DATA Displaying Spatiotemporal Data: Introduction Contents Packages Further Reading Spatiotemporal Raster Data Introduction Level Plots Graphical Exploratory Data Analysis Space-Time and Time Series Plots Animation Spatiotemporal Point Observations Introduction Data and Spatial Information Graphics with spacetime Animation Bibliography Index

「Nielsen BookData」 より

詳細情報

• NII書誌ID(NCID): BB15689458
• ISBN:
  • 9781466565203
• LCCN: 2014001305
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Boca Raton
• ページ数/冊数: vii, 200 p.
• 大きさ: 25 cm
• 分類:
  • LCC : QA280
  • DC23 : 519.5/502855133
• 件名:
  • LCSH : Time-series analysis -- Data processing
  • LCSH : R (Computer program language)
• 親書誌ID:
  • BB06063161