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Avis sur Displaying Time Series, Spatial, And Space - Time Data With R de Collectif Format Broché - Livre
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Présentation Displaying Time Series, Spatial, And Space - Time Data With R de Collectif Format Broché
- Livre
Résumé :
This book will provide methods to display space-time data using R. The code of each method will be detailed and commented through practical examples with real data. The second edition will discuss new interactive R packages and Add introductory sections with easier examples to show the basics of the most important packages and functions
Biographie: Oscar Perpi??n-Lamigueiro is an Associate Professor at the Universidad Polit?cnica de Madrid, involved in teaching and research of Electrical Engineering, Electronics and Programming. He is also a lecturer of Photovoltaic and Solar Energy at the Escuela de Organizaci?n Industrial. He holds a Master's Degree in Telecommunications Engineering and a PhD in Industrial Engineering. At present, his research focuses on solar radiation (forecasting, spatial interpolation, open data) and software development with R (packages rasterVis, solaR, meteoForecast, PVF, tdr).
Sommaire: 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 I Time Series Displaying Time Series: Introduction Packages Further Reading Time on the Horizontal Axis Time Graph of Variables with Different Scales Time Series of Variables with the Same Scale Stacked Graphs Interactive Graphics 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 A Panel for Each Year Interactive Graphics: Animation About the Data SIAR Unemployment in the United States Gross National Income and CO Emissions II Spatial Data Displaying Spatial Data: Introduction Packages Further Reading Thematic Maps: Proportional Symbol Mapping Introduction Proportional Symbol Mapping with spplot Proportional Symbol Mapping with ggplot Optimal Classification and Sizes to Improve Discrimination Spatial Context with Underlying Layers and Labels Spatial Interpolation Interactive Graphics Thematic Maps: Choropleth Maps Introduction Quantitative Variable Qualitative Variable Small Multiples with Choropleth Maps Bivariate Map Interactive Graphics Thematic Maps: Raster Maps Quantitative Data Categorical Data bBivariate Legend Interactive Graphics Vector Fields Introduction Arrow Plot Streamlines Physical and Reference Maps Physical Maps Reference maps About the Data Air Quality in Madrid Spanish General Elections CM SAF Land Cover and Population Rasters III Space-Time Data Displaying Spatiotemporal Data: Introduction Packages Further Reading Spatiotemporal Raster Data Introduction Level Plots Graphical Exploratory Data Analysis Space-Time and Time Series Plots Spatiotemporal Point Observations Introduction Graphics with spacetime Animation Depicting variable changes over time: raster data bDepicting variable changes over time: point space-time data Fly-by animation
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