"This volume covers many of the important advances in the geological sciences from 1963 to 2013. These advances include understanding plate tectonics, exploration of the Moon and Mars, development of new computing and analytical technologies, understanding of the role of microbiology in geologic processes, and many others"--Provided by publisher.

The web of geological sciences, Special papers 500 and 523, written in celebration of the 125th anniversary of the Geological Society of America.

This new edition includes 10,000 entries which cover all areas of geoscience, including planetary science, oceanography, palaeontology, mineralogy and volcanology. In this edition, 675 new entries have been added, and include expanded coverage of planetary geology and earth-observing-satellites. Other new entries terms such as Ianammox, Boomerangian, earth rheological layering, and metamorphic rock classification. The entries are also complemented by more than 130 diagrams and numerous web links that are listed on a regularly updated dedicated companion website. Appendices supplement the A-Z and have been extended to include three new tables on the Torino Impact Hazard Scale, Avalanche Classes, and the Volcanic Explosivity Index. The list of satellite missions has also been revised and updated to include recent developments. A Dictionary of Geology and Earth Sciences is an authoritative, and jargon-free resource for students of geology, geography, geosciences, physical science, and those in related disciplines.

Encyclopedia of Geology, Second Edition presents in six volumes state-of-the-art reviews on the various aspects of geologic research, all of which have moved on considerably since the writing of the first edition. New areas of discussion include extinctions, origins of life, plate tectonics and its influence on faunal provinces, new types of mineral and hydrocarbon deposits, new methods of dating rocks, and geological processes. Users will find this to be a fundamental resource for teachers and students of geology, as well as researchers and non-geology professionals seeking up-to-date reviews of geologic research. Provides a comprehensive and accessible one-stop shop for information on the subject of geology, explaining methodologies and technical jargon used in the field Highlights connections between geology and other physical and biological sciences, tackling research problems that span multiple fields Fills a critical gap of information in a field that has seen significant progress in past years Presents an ideal reference for a wide range of scientists in earth and environmental areas of study

"The 50 years since the publication of 'Fabric of Geology,' edited by C.C. Albritton Jr., have seen immense changes in both geology and philosophy of science. 'Rethinking the Fabric of Geology' explores a number of philosophical issues in geology, ranging from its nature as a historical science to implications for geological education"--Provided by publisher.

"This unusual book, published to honor Warren Bell Hamilton, comprises a diverse, cross-disciplinary collection of bold new ideas in Earth and planetary science. This volume is a rich resource for researchers at all levels looking for interesting, unusual, and off-beat ideas to investigate or set as student projects"--

"This volume addresses the impact of the geological sciences, from 1963-2013, in such areas as geologic hazards, mineral resources, energy resources, water resources, soil resources, geology and health, geologic education, and the informing of general public policy. The chapters focus on how earth science informs and benefits society"--Provided by publisher.

While earthquakes and volcanic eruptions are shaking up the world, there are more exciting happenings in the diverse field of geological science. This fascinating look at the discipline of geology during the past 3 to 4 years casts an eye toward future directions and showcases new ideas and ways of thinking. The broad discipline of geology is as diverse and complex as the planet itself. The most recent advances in the field such as the debate about life on Mars and the melting of the polar ice caps are included. Special attention is given to the changing role of the practicing geologist from that of an explorer and discoverer of mineral resources to that of investigator, mitigator, and predictor of natural and man made environmental hazards. Key individuals are profiled and excerpts of letters, speeches, and articles are used to explain points of view and the meaning of their advances. Numerous sources of additional information including organizations and Internet resources guide readers in further research.

From the Foreword: "While large-scale machine learning and data mining have greatly impacted a range of commercial applications, their use in the field of Earth sciences is still in the early stages. This book, edited by Ashok Srivastava, Ramakrishna Nemani, and Karsten Steinhaeuser, serves as an outstanding resource for anyone interested in the opportunities and challenges for the machine learning community in analyzing these data sets to answer questions of urgent societal interest...I hope that this book will inspire more computer scientists to focus on environmental applications, and Earth scientists to seek collaborations with researchers in machine learning and data mining to advance the frontiers in Earth sciences." --Vipin Kumar, University of Minnesota Large-Scale Machine Learning in the Earth Sciences provides researchers and practitioners with a broad overview of some of the key challenges in the intersection of Earth science, computer science, statistics, and related fields. It explores a wide range of topics and provides a compilation of recent research in the application of machine learning in the field of Earth Science. Making predictions based on observational data is a theme of the book, and the book includes chapters on the use of network science to understand and discover teleconnections in extreme climate and weather events, as well as using structured estimation in high dimensions. The use of ensemble machine learning models to combine predictions of global climate models using information from spatial and temporal patterns is also explored. The second part of the book features a discussion on statistical downscaling in climate with state-of-the-art scalable machine learning, as well as an overview of methods to understand and predict the proliferation of biological species due to changes in environmental conditions. The problem of using large-scale machine learning to study the formation of tornadoes is also explored in depth. The last part of the book covers the use of deep learning algorithms to classify images that have very high resolution, as well as the unmixing of spectral signals in remote sensing images of land cover. The authors also apply long-tail distributions to geoscience resources, in the final chapter of the book.