Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This combination of text and lab book presents an entirely different approach to structural geology. Designed for undergraduate laboratory classes, it provides a step-by-step guide for solving geometric problems arising from structural field observations. The book discusses both traditional methods and cutting-edge approaches, with emphasis given to graphical methods and visualization techniques that support students in tackling challenging two- and three-dimensional problems. Numerous exercises encourage practice in using the techniques, and demonstrate how field observations can be converted into useful information about geological structures and the processes responsible for creating them. This updated fourth edition incorporates new material on stress, deformation, strain and flow, and the underlying mathematics of the subject. With stereonet plots and solutions to the exercises available online at www.cambridge.org/ragan, this book is a key resource for undergraduates, advanced students and researchers wanting to improve their practical skills in structural geology.

Geology, Structural --- Geology, Structural. --- Geotectonics --- Structural geology --- Tectonics (Geology) --- Physical geology --- Geology --- Géomorphologie structurale --- Tectonique --- Géologie --- Graphic methods. --- Méthodes graphiques

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

informatietheorie --- entropie --- Artificial intelligence. Robotics. Simulation. Graphics --- algoritmen --- Mathematical statistics --- Actuarial mathematics --- Graphical modeling (Statistics) --- Bayesian statistical decision theory --- Graphic methods --- Graphic methods. --- Graphical modeling (Statistics). --- 519.2 --- Probability. Mathematical statistics --- 519.2 Probability. Mathematical statistics --- Multivariate analysis --- Bayes' solution --- Bayesian analysis --- Statistical decision --- STATISTIQUE MATHEMATIQUE --- ARTIFICIAL INTELLIGENCE --- METHODES GRAPHIQUES

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Praise for George Francis's A Topological Picturebook: Bravo to Springer for reissuing this unique and beautiful book! It not only reminds the older generation of the pleasures of doing mathematics by hand, but also shows the new generation what ``hands on'' really means. - John Stillwell, University of San Francisco The Topological Picturebook has taught a whole generation of mathematicians to draw, to see, and to think. - Tony Robbin, artist and author of Shadows of Reality: The Fourth Dimension in Relativity, Cubism, and Modern Thought The classic reference for how to present topological information visually, full of amazing hand-drawn pictures of complicated surfaces. - John Sullivan, Technische Universitat Berlin A Topological Picturebook lets students see topology as the original discoverers conceived it: concrete and visual, free of the formalism that burdens conventional textbooks. - Jeffrey Weeks, author of The Shape of Space A Topological Picturebook is a visual feast for anyone concerned with mathematical images. Francis provides exquisite examples to build one's "visualization muscles". At the same time, he explains the underlying principles and design techniques for readers to create their own lucid drawings. - George W. Hart, Stony Brook University In this collection of narrative gems and intriguing hand-drawn pictures, George Francis demonstrates the chicken-and-egg relationship, in mathematics, of image and text. Since the book was first published, the case for pictures in mathematics has been won, and now it is time to reflect on their meaning. A Topological Picturebook remains indispensable. - Marjorie Senechal, Smith College and co-editor of the Mathematical Intelligencer.

Mathematics. --- Topology. --- Geometry. --- Mathématiques --- Géométrie --- Topologie --- Topology --- Mathematics --- Physical Sciences & Mathematics --- Geometry --- Graphic methods --- Analysis situs --- Position analysis --- Rubber-sheet geometry --- Graphic methods. --- Topologie. Méthodes graphiques. --- Topologie. Grafische methoden. --- Polyhedra --- Set theory --- Algebras, Linear --- Euclid's Elements --- Géometrie --- Infographie --- Topology - Graphic methods.

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

This book describes ggplot2, a new data visualization package for R that uses the insights from Leland Wilkison's Grammar of Graphics to create a powerful and flexible system for creating data graphics. With ggplot2, it's easy to: produce handsome, publication-quality plots, with automatic legends created from the plot specification superpose multiple layers (points, lines, maps, tiles, box plots to name a few) from different data sources, with automatically adjusted common scales add customisable smoothers that use the powerful modelling capabilities of R, such as loess, linear models, generalised additive models and robust regression save any ggplot2 plot (or part thereof) for later modification or reuse create custom themes that capture in-house or journal style requirements, and that can easily be applied to multiple plots approach your graph from a visual perspective, thinking about how each component of the data is represented on the final plot This book will be useful to everyone who has struggled with displaying their data in an informative and attractive way. You will need some basic knowledge of R (i.e. you should be able to get your data into R), but ggplot2 is a mini-language specifically tailored for producing graphics, and you'll learn everything you need in the book. After reading this book you'll be able to produce graphics customized precisely for your problems, and you'll find it easy to get graphics out of your head and on to the screen or page. Hadley Wickham is an Assistant Professor of Statistics at Rice University, and is interested in developing computational and cognitive tools for making data preparation, visualization, and analysis easier. He has developed 15 R packages and in 2006 he won the John Chambers Award for Statistical Computing for his work on the ggplot and reshape R packages.

Mathematical statistics --- Graphic methods --- R (Computer program language) --- Méthodes graphiques --- R (Langage de programmation) --- Graphic methods. --- Datenanalyse. --- Graphische Darstellung. --- Plot (Graphische Darstellung) --- R (Programm) --- Visualisierung. --- 001.4226 --- GNU-S (Computer program language) --- Domain-specific programming languages --- Graphics --- Graphs --- Geometrical drawing --- Least squares --- Mathematics --- Mechanical drawing --- Methoden en technieken --- statistiek --- R (Computer program language). --- Mathematical Statistics --- Elementary Mathematics & Arithmetic --- Physical Sciences & Mathematics --- Plot (Graphische Darstellung). --- R (Programm). --- statistiek. --- Méthodes graphiques --- EPUB-LIV-FT LIVMATHE LIVSTATI SPRINGER-B --- Mathematical statistics. --- Visualization. --- Computer graphics. --- Statistics and Computing/Statistics Programs. --- Computer Graphics. --- Datenanalyse --- Graphische Darstellung --- Visualisierung --- Visualisation --- Imagination --- Visual perception --- Imagery (Psychology) --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Statistical methods --- Digital techniques --- Statistics . --- Mathematics. --- Math --- Science --- Statistical analysis --- Statistical data --- Statistical science --- Econometrics

Choose an application

• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Graphics are great for exploring data, but how can they be used for looking at the large datasets that are commonplace to-day? This book shows how to look at ways of visualizing large datasets, whether large in numbers of cases or large in numbers of variables or large in both. Data visualization is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. Data analysts, statisticians, computer scientists-indeed anyone who has to explore a large dataset of their own-should benefit from reading this book. New approaches to graphics are needed to visualize the information in large datasets and most of the innovations described in this book are developments of standard graphics. There are considerable advantages in extending displays which are well-known and well-tried, both in understanding how best to make use of them in your work and in presenting results to others. It should also make the book readily accessible for readers who already have a little experience of drawing statistical graphics. All ideas are illustrated with displays from analyses of real datasets and the authors emphasize the importance of interpreting displays effectively. Graphics should be drawn to convey information and the book includes many insightful examples. Antony Unwin holds the Chair of Computer Oriented Statistics and Data Analysis at the University of Augsburg. He has been involved in developing visualization software for twenty years. Martin Theus is a Senior Researcher at the University of Augsburg, has worked in industry and research in both Germany and the USA, and is the author of the visualization software Mondrian. Heike Hofmann is Assistant Professor of Statistics at Iowa State University. She wrote the software MANET and has also cooperated in the development of the GGobi software.

Artificial intelligence. Robotics. Simulation. Graphics --- Information systems --- QA 276.3 Graphic methods --- Computational Science & Engineering --- Computational Statistics --- Computer Imaging, Graphics & Vision --- Computer Science --- Statistics --- Computer graphics. --- Statistique --- Infographie --- Graphic methods. --- Méthodes graphiques --- Computer graphics --- Graphic methods --- Statistics -- Graphic methods. --- Mathematics --- Physical Sciences & Mathematics --- Mathematical Statistics --- Méthodes graphiques --- EPUB-LIV-FT LIVSTATI SPRINGER-B --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Diagrams, Statistical --- Statistical diagrams --- Mathematics. --- Operations research. --- Decision making. --- Data mining. --- Visualization. --- Computer software. --- Statistics. --- Mathematical Software. --- Statistical Theory and Methods. --- Data Mining and Knowledge Discovery. --- Operation Research/Decision Theory. --- Computer Graphics. --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics --- Image processing --- Statistical analysis --- Statistical data --- Statistical methods --- Statistical science --- Econometrics --- Software, Computer --- Computer systems --- Visualisation --- Imagery (Psychology) --- Imagination --- Visual perception --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Deciding --- Decision (Psychology) --- Decision analysis --- Decision processes --- Making decisions --- Management --- Management decisions --- Choice (Psychology) --- Problem solving --- Operational analysis --- Operational research --- Industrial engineering --- Management science --- Research --- System theory --- Math --- Science --- Digital techniques --- Decision making --- Curve fitting --- Mathematical statistics. --- Operations Research/Decision Theory. --- Statistical inference --- Statistics, Mathematical --- Probabilities --- Sampling (Statistics) --- Statistics . --- Statistics - Graphic methods