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Deep Learning for the Earth Sciences
DEEP LEARNING FOR THE EARTH SCIENCES Explore this insightful treatment of deep learning in the field of earth sciences, from four leading voices Deep learning is a fundamental technique in modern Artificial Intelligence and is being applied to disciplines across the scientific spectrum; earth science is no exception. Yet, the link between deep learning and Earth sciences has only recently entered academic curricula and thus has not yet proliferated. Deep Learning for the Earth Sciences delivers a unique perspective and treatment of the concepts, skills, and practices necessary to quickly become familiar with the application of deep learning techniques to the Earth sciences. The book prepares...
The Earth Sciences
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A Dictionary of Geology and Earth Sciences
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.
MATLAB® Recipes for Earth Sciences
Introduces methods of data analysis in geosciences using MATLAB such as basic statistics for univariate, bivariate and multivariate datasets, jackknife and bootstrap resampling schemes, processing of digital elevation models, gridding and contouring, geostatistics and kriging, processing and georeferencing of satellite images, digitizing from the screen, linear and nonlinear time-series analysis and the application of linear time-invariant and adaptive filters. Includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences.
Geoarchaeology
This guidance document covers the use of geoarchaeology to assist in understanding the archaeological record. Geoarchaeological techniques may range in scale from landscape studies to microscopic analysis, and are carried out by practitioners with specialist knowledge about the physical environment in which archaeological stratigraphy is preserved, and excavations take place. The main aim is usually to understand site formation processes, but there may also be issues concerning site preservation, refining field interpretations of archaeological contexts and identifying changes in the physical landscape through time.
A Dictionary of Earth Sciences
This is the most authoritative and wide-ranging dictionary of earth sciences available in a single volume. Compiled with the help of a team of specialist contributors, it has been substantially revised and updated for this new edition. It is essential reference for all students of the subject, especially those on interdisciplinary courses. Over 6,000 entries New material on planetary science, remote sensing, statistics, and sequence stratigraphy Substantial updating in mineralogy and geophysics Exceptionally broad coverage also includes climatology, economic geology, geochemistry, oceanography, palaeontology, petrology, and volcanology New section of appendices includes wind strength scales; material, temporal, and chronostratigraphic units; and geologic, lunar, and Martian time scales
The Cambridge Handbook of Earth Science Data
This handbook presents an indispensable compilation of fundamental facts and figures about the Earth. It brings together reliable physical, chemical, biological and historical data in a series of 145 easy to read tables, supplemented by maps, charts and color plates. Eleven sections cover topics spanning the Earth's geosphere, hydrosphere, atmosphere and biosphere, with one section focusing on other bodies in the Solar System. Full references for the original data sources are provided to enable users to access further detail, and the appendix provides practical information on units and conversion factors. Compact and easy to use, this handy book provides a time-saving first point of reference for researchers, students and practitioners in the Earth and Environmental Sciences. It allows scientists easy access to basic information on topics outside their specialization, and is also a convenient resource for non-scientists such as economists, policy makers and journalists.
Geodetic Time Series Analysis in Earth Sciences
This book provides an essential appraisal of the recent advances in technologies, mathematical models and computational software used by those working with geodetic data. It explains the latest methods in processing and analyzing geodetic time series data from various space missions (i.e. GNSS, GRACE) and other technologies (i.e. tide gauges), using the most recent mathematical models. The book provides practical examples of how to apply these models to estimate seal level rise as well as rapid and evolving land motion changes due to gravity (ice sheet loss) and earthquakes respectively. It also provides a necessary overview of geodetic software and where to obtain them.
Time Series Modelling in Earth Sciences
Including the latest theories and applications of time series modelling, this book is intended for students, faculties and professionals with a background in multivariate statistics. Highlighting linear methods to yield ARIMA, SARIMA models and their multivariate (vector) extensions, the text also draws attention to non-linear methods, as well as state-space, dynamic linear, wavelet, volatility and long memory models. Also included are several solved case studies and exercises from the fields of mining, ore genesis, earthquakes, and climatology.
MYP Physical and Earth Sciences Years 1-3
Drive achievement in the MYP and strengthen scientific confidence. Equipping learners with the confident scientific understanding central to progression through the MYP Sciences, this text is fully matched to the Next Chapter curriculum. The inquiry-based structure immerses learners in a concept-based approach, strengthening performance. Develop comprehensive scientific knowledge underpinned by rich conceptual awareness, equipping learners with the confidence to handle new ideas Fully integrate a concept-based approach with an inquiry-based structure that drives independent thinking Build flexibility interwoven global contexts enable big picture understanding and ensure students can apply learning to new areas Fully mapped to the Next Chapter curriculum and supports the Common Core Strengthen potential in the MYP eAssessment and prepare learners for confident progression into MYP Years 4 and 5
