Displaying Time Series, Spatial, and Space-Time Data with R

Dr. Oscar Perpinan-Lamigueiro is a Lecturer of Photovoltaic and Solar Energy at the Escuela de Organizacion Industrial (EOI), and an Assistant Professor of Electrical Engineering at the Universidad Politecnica de Madrid (UPM).

• Introduction. TIME SERIES. Displaying Time Series: Introduction. Time as a Conditioning or Grouping Variable. Time as a Complementary Variable. About the Data. SPATIAL DATA. Displaying Spatial Data: Introduction. Spatiotemporal Raster Data. Spatiotemporal Point Observations

"The author is knowledgeable in the different data formats for time series in R as well as various different displays from modern R packages that can be used to present time series data. A small proportion of the material discusses the findings that can be drawn from each time series. The major focus of the book is on how time series are manipulated, or R functions are used to produce a specific figure. Both static and dynamic summaries of data are provided, and much discussion is given to displaying multiple time series." ~Peter Craigmile, The Ohio State University"This book addresses a fundamental gap that makes R a more usable geographic information system for applied statisticians…This book is incredibly useful for any person wanting to do modern spatial and spatio-temporal statistics. This book is technically correct. It is also clearly written and quite easy for a person with a moderate level of R programing experience to use." ~Trevor Hefley, Kansas State University"(This book) should be useful and successful across a range of audiences: researchers and practitioners working with temporal/spatial data; professors using the manuscript to supplement their courses on temporal/spatial data; graduate students learning about temporal/spatial data. I have been a part of these audiences at various stages of my own professional career, and would have loved to be ‘exposed’ to the manuscript earlier." ~Vladas Pipiras, University of North Carolina Chapel Hill"While texts on spatiotemporal data analysis exist, there is a lack of resources and references when it comes to address the challenges of producing spatiotemporal visualizations, particularly in combination with reproducible example code and data. This book aims to address this void, and in this regard, is a very valuable and needed contribution." ~Claudia Engel, Stanford University"This is a book specializing on visualization of time/space data. The topics covered are relevant and interesting…The updates planned for the second edition focus on ggplot2 and interactive web-based plots. These have both become mainstream, so such an update would be appropriate and topical." ~Deepayan Sarkar, Indian Statistical Institute, Delhi "Overall, the book is unique in what it tries to achieve. It is an excellent resource that researchers and other users can use to explore different visualisations and read on how to build them from scratch in R." ~Andrew Zammit Mangion, University of Wollongong"In summary, Displaying Time Series, Spatial, and Space-Time Data with R is a useful handbook for those wanting to learn more about temporal, spatial, and space-time data classes in R; methods for wrangling such data; and, of course, approaches for visualizing the data. Those who are already familiar with temporal/spatial/space-time data may also find it a useful overview of methods they may not have previously encountered. It is well-written and provides a nice synthesis of additional resources for those who might be interested in digging deeper into a particular topic."~Silas Bergen, Winona State University