Displaying time series spatial and space time data with R 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 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. Lets 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 dont 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]