Environmental Data Analysis with MATLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios, including case studies in each chapter. The new edition is expanded to include applications to Python, an open source software environment. Significant content in Environmental Data Analysis with MATLAB, Third Edition is devoted to teaching how the programs can be effectively used in an environmental data analysis setting. This new edition offers chapters that can both be used as self-contained resources or as a step-by-step guide for students, and is supplemented with data and scripts to demonstrate relevant use cases. Provides a clear learning path for researchers and students using data analysis techniques which build upon one another, choosing the right order of presentation to substantially aid the reader in learning material Includes crib sheets to summarize the most important data analysis techniques, results, procedures, and formulas and worked examples to demonstrate techniques Uses real-world environmental examples and case studies formulated using the readily-available software environment in both MATLAB® and Python Completely updated and expanded to include coverage of Python and reorganized for better navigability Includes access to both an instructor site with exemplary lectures and solutions to problems and a supplementary site with MATLAB LiveScripts and Python Notebooks
Geophysical Data Analysis and Inverse Theory with MATLAB or Python, Fifth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. The book demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention given to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones. A series of "crib sheets" offer step-by-step summaries of methods presented. Utilizing problems and case studies, along with MATLAB and Python computer code and summaries of methods, the book provides professional geophysicists, students, data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory. Includes material on probability, including Bayesian influence, probability density function, and metropolis algorithm Offers detailed discussions of the application of inverse theory to seismological, gravitational, and tectonic studies Provides numerous examples, color figures, and end-of-chapter problems to help readers explore and further understand the presented ideas Includes both MATLAB and Python examples and problem sets
Environmental Data Analysis with MatLab" is for students and researchers working to analyze real data sets in the environmental sciences. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often-noisy data drawn from a broad range of sources. This book teaches the basics of the underlying theory of data analysis, and then reinforces that knowledge with carefully chosen, realistic scenarios. MatLab, a commercial data processing environment, is used in these scenarios; significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. The book, though written in a self-contained way, is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial. It is well written and outlines a clear learning path for researchers and students. It uses real world environmental examples and case studies. It has MatLab software for application in a readily-available software environment. Homework problems help user follow up upon case studies with homework that expands them.
Since 1984, Geophysical Data Analysis has filled the need for a short, concise reference on inverse theory for individuals who have an intermediate background in science and mathematics. The new edition maintains the accessible and succinct manner for which it is known, with the addition of: MATLAB examples and problem sets Advanced color graphics Coverage of new topics, including Adjoint Methods; Inversion by Steepest Descent, Monte Carlo and Simulated Annealing methods; and Bootstrap algorithm for determining empirical confidence intervals Additional material on probability, including Bayesian influence, probability density function, and metropolis algorithm Detailed discussion of application of inverse theory to tectonic, gravitational and geomagnetic studies Numerous examples and end-of-chapter homework problems help you explore and further understand the ideas presented Use as classroom text facilitated by a complete set of exemplary lectures in Microsoft PowerPoint format and homework problem solutions for instructors
Proclaimed "one of the great American writers of short fiction" by the New York Times Book Review, William Goyen (1915-1983) had a quintessentially American literary career, in which national recognition came only after years of struggle to find his authentic voice, his audience, and an artistic milieu in which to create. These letters, which span the years 1937 to 1983, offer a compelling testament to what it means to be a writer in America. A prolific correspondent, Goyen wrote regularly to friends, family, editors, and other writers. Among the letters selected here are those to such major literary figures as W. H. Auden, Archibald MacLeish, Joyce Carol Oates, William Inge, Elia Kazan, Elizabeth Spencer, and Katherine Anne Porter. These letters constitute a virtual autobiography, as well as a fascinating introduction to Goyen's work. They add an important chapter to the study of American and Texas literature of the twentieth century.
Everything seemed to be going the Phillies’ way. Up by 6 1/2 games with just 12 left to play in the 1964 season, they appeared to have clinched their first pennant in more than a decade. Outfielder Johnny Callison narrowly missed being the National League MVP. Third baseman Richie Allen was Rookie of the Year. But the "Fightin’ Phils" didn’t make it to the postseason—they lost 10 straight and finished a game behind the St. Louis Cardinals. Besides engineering the greatest collapse of any team in major league baseball history, the ’64 Phillies had another, more important distinction: they were Philadelphia’s first truly integrated baseball team. In September Swoon William Kashatus tells the dramatic story—both on the field and off the field—of the Phillies’ bittersweet season of 1964. More than any other team in Philadelphia’s sports history, the ’64 Phillies saddled the city with a reputation for being a "loser." Even when victory seemed assured, Philadelphia found a way to lose. Unfortunately, the collapse, dubbed the "September swoon," was the beginning of a self-destructive skid in both team play and racial integration, for the very things that made the players unique threatened to tear the team apart. An antagonistic press and contentious fans blamed Richie Allen, the Phillies’ first black superstar, for the team’s losing ways, accusing him of dividing the team along racial lines. Allen manipulated the resulting controversy in the hopes that he would be traded, but in the process he managed to further fray already tenuous race relations. Based on personal interviews, player biographies, and newspaper accounts, September Swoon brings to life a season and a team that got so many Philadelphians, both black and white, to care deeply and passionately about the game at a turbulent period in the city’s—and our nation’s—history. The hometown fans reveled in their triumphs and cried in their defeat, because they saw in them a reflection of themselves. The ’64 Phillies not only won over the loyalties of a racially divided city, but gave Philadelphians a reason to dream—of a pennant, of a contender, and of a City of Brotherly Love.
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