Data Analysis For The Geosciences

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Data Analysis for the Geosciences

Author : Michael W. Liemohn
Publisher : John Wiley & Sons
ISBN 13 : 1119747899
Total Pages : 452 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Data Analysis for the Geosciences by : Michael W. Liemohn

Download or read book Data Analysis for the Geosciences written by Michael W. Liemohn and published by John Wiley & Sons. This book was released on 2023-10-10 with total page 452 pages. Available in PDF, EPUB and Kindle. Book excerpt: An initial course in scientific data analysis and hypothesis testing designed for students in all science, technology, engineering, and mathematics disciplines Data Analysis for the Geosciences: Essentials of Uncertainty, Comparison, and Visualization is a textbook for upper-level undergraduate STEM students, designed to be their statistics course in a degree program. This volume provides a comprehensive introduction to data analysis, visualization, and data-model comparisons and metrics, within the framework of the uncertainty around the values. It offers a learning experience based on real data from the Earth, ocean, atmospheric, space, and planetary sciences. About this volume: Serves as an initial course in scientific data analysis and hypothesis testing Focuses on the methods of data processing Introduces a wide range of analysis techniques Describes the many ways to compare data with models Centers on applications rather than derivations Explains how to select appropriate statistics for meaningful decisions Explores the importance of the concept of uncertainty Uses examples from real geoscience observations Homework problems at the end of chapters The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling

Author : Y. Z. Ma
Publisher : Springer
ISBN 13 : 3030178609
Total Pages : 640 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling by : Y. Z. Ma

Download or read book Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling written by Y. Z. Ma and published by Springer. This book was released on 2019-07-15 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.

Compositional Data Analysis in the Geosciences

Author : Antonella Buccianti
Publisher : Geological Society of London
ISBN 13 : 9781862392052
Total Pages : 232 pages
Book Rating : 4.3/5 (92 download)

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Book Synopsis Compositional Data Analysis in the Geosciences by : Antonella Buccianti

Download or read book Compositional Data Analysis in the Geosciences written by Antonella Buccianti and published by Geological Society of London. This book was released on 2006 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since Karl Pearson wrote his paper on spurious correlation in 1897, a lot has been said about the statistical analysis of compositional data, mainly by geologists such as Felix Chayes. The solution appeared in the 1980s, when John Aitchison proposed to use Iogratios. Since then, the approach has seen a great expansion, mainly building on the idea of the `natural geometry' of the sample space. Statistics is expected to give sense to our perception of the natural scale of the data, and this is made possible for compositional data using Iogratios. This publication will be a milestone in this process.

Introduction to Python in Earth Science Data Analysis

Author : Maurizio Petrelli
Publisher : Springer Nature
ISBN 13 : 3030780554
Total Pages : 229 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Introduction to Python in Earth Science Data Analysis by : Maurizio Petrelli

Download or read book Introduction to Python in Earth Science Data Analysis written by Maurizio Petrelli and published by Springer Nature. This book was released on 2021-09-16 with total page 229 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces the use of Python programming for exploring and modelling data in the field of Earth Sciences. It drives the reader from his very first steps with Python, like setting up the environment and starting writing the first lines of codes, to proficient use in visualizing, analyzing, and modelling data in the field of Earth Science. Each chapter contains explicative examples of code, and each script is commented in detail. The book is minded for very beginners in Python programming, and it can be used in teaching courses at master or PhD levels. Also, Early careers and experienced researchers who would like to start learning Python programming for the solution of geological problems will benefit the reading of the book.

Statistics and Data Analysis in Geology

Author :
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (257 download)

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Book Synopsis Statistics and Data Analysis in Geology by :

Download or read book Statistics and Data Analysis in Geology written by and published by . This book was released on 1986 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Statistics and Data Analysis in Geology

Author : John C. Davis
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4./5 ( download)

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Book Synopsis Statistics and Data Analysis in Geology by : John C. Davis

Download or read book Statistics and Data Analysis in Geology written by John C. Davis and published by John Wiley & Sons. This book was released on 2011 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Special Features: · Offers a comprehensive treatment of statistics in geology.· Topics progress from background information to analysis of geological sequences, then maps, and finally multivariate observations.· The book places special emphasis on probability and statistics, including nonparametric statistics, constant-sum data, eigenvalue calculations, analysis of directional data, mapping and geostatistics, fractals, and multivariate analysis.· The text now includes numerous geological data sets that illustrate how specific computational procedures can be applied to problems in the Earth sciences. All data sets are available on the book's companion Web site.· Each chapter now ends with a set of exercises of greater or lesser complexity that the student can address using methods discussed in the chapter.· Provides expanded coverage of elementary probability theory.· The discussion of nonparametric methods has been expanded to address closure effects.· Coverage of eigenvalues and eigenvectors has been revised.· Includes a new section on singular value decomposition and the relationship between R- and Q-mode factor methods in the chapter on multivariate analysis.· The section on contour mapping has been revised to reflect modern practices.· Includes revised coverage of the many varieties of kriging and provides of series of simple demonstrations that illustrate how geostatistical methodologies work.· Includes a discussion of fractals, a promising area of future research.· The section on regression has been expanded to include several variants that have special significance in the Earth sciences.

Statistics and Data Analysis in Geology

Author : John C. Davis
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Statistics and Data Analysis in Geology by : John C. Davis

Download or read book Statistics and Data Analysis in Geology written by John C. Davis and published by John Wiley & Sons. This book was released on 1973 with total page 584 pages. Available in PDF, EPUB and Kindle. Book excerpt: Thoroughly revised and updated, this new edition of the text that helped define the field continues to present important methods in the quantitative analysis of geologic data, while showing students how statistics and computing can be applied to commonly encountered problems in the earth sciences. In addition to new and expanded coverage of key topics, the Third Edition features new pedagogy, end-of-chapter review exercises, and an accompanying website that contains all of the data for every example and exercise found in the book.

Introduction to Geological Data Analysis

Author : ARH Swan
Publisher : Wiley-Blackwell
ISBN 13 :
Total Pages : 468 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Introduction to Geological Data Analysis by : ARH Swan

Download or read book Introduction to Geological Data Analysis written by ARH Swan and published by Wiley-Blackwell. This book was released on 1995-03-29 with total page 468 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unlike most other sciences, geology does not have a strong tradition of numerical analysis. It is, however, increasingly common for primary geological information to be quantitative rather than descriptive, and analysis of numerical data is now a skill of immense value to any earth scientist. The authors of this book have set out to provide students at undergraduate and graduate level with a thorough grounding in the statistical techniques required in the earth sciences. All the modern statistical methods employed by geologists and geophysicists are covered, with clear worked examples using the type of data the reader is likely to encounter.

A Primer on Fourier Analysis for the Geosciences

Author : Robin Crockett
Publisher : Cambridge University Press
ISBN 13 : 1107142881
Total Pages : 191 pages
Book Rating : 4.1/5 (71 download)

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Book Synopsis A Primer on Fourier Analysis for the Geosciences by : Robin Crockett

Download or read book A Primer on Fourier Analysis for the Geosciences written by Robin Crockett and published by Cambridge University Press. This book was released on 2019-02-14 with total page 191 pages. Available in PDF, EPUB and Kindle. Book excerpt: An intuitive introduction to basic Fourier theory, with numerous practical applications from the geosciences and worked examples in R.

Statistics of Earth Science Data

Author : Graham J. Borradaile
Publisher : Springer Science & Business Media
ISBN 13 : 3662052237
Total Pages : 371 pages
Book Rating : 4.6/5 (62 download)

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Book Synopsis Statistics of Earth Science Data by : Graham J. Borradaile

Download or read book Statistics of Earth Science Data written by Graham J. Borradaile and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 371 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the reviews: "All in all, Graham Borradaile has written and interesting and idiosyncratic book on statistics for geoscientists that will be welcome among students, researchers, and practitioners dealing with orientation data. That should include engineering geologists who work with things like rock fracture orientation measurements or clast alignment in paleoseismic trenches. It won’t replace the collection of statistics and geostatistics texts in my library, but it will have a place among them and will likely be one of several references to which I turn when working with orientation data.... The text is easy to follow and illustrations are generally clear and easy to read..."(William C. Haneberg, Haneberg Geoscience)

Applied Statistical Modeling and Data Analytics

Author : Srikanta Mishra
Publisher : Elsevier
ISBN 13 : 0128032804
Total Pages : 250 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Applied Statistical Modeling and Data Analytics by : Srikanta Mishra

Download or read book Applied Statistical Modeling and Data Analytics written by Srikanta Mishra and published by Elsevier. This book was released on 2017-10-27 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains Written by practitioners for practitioners Presents an easy to follow narrative which progresses from simple concepts to more challenging ones Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications

Data Assimilation for the Geosciences

Author : Steven J. Fletcher
Publisher : Elsevier
ISBN 13 : 0323972535
Total Pages : 1130 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Data Assimilation for the Geosciences by : Steven J. Fletcher

Download or read book Data Assimilation for the Geosciences written by Steven J. Fletcher and published by Elsevier. This book was released on 2022-11-16 with total page 1130 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Assimilation for the Geosciences: From Theory to Application, Second Edition brings together all of the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place. It includes practical exercises enabling readers to apply theory in both a theoretical formulation as well as teach them how to code the theory with toy problems to verify their understanding. It also demonstrates how data assimilation systems are implemented in larger scale fluid dynamical problems related to land surface, the atmosphere, ocean and other geophysical situations. The second edition of Data Assimilation for the Geosciences has been revised with up to date research that is going on in data assimilation, as well as how to apply the techniques. The new edition features an introduction of how machine learning and artificial intelligence are interfacing and aiding data assimilation. In addition to appealing to students and researchers across the geosciences, this now also appeals to new students and scientists in the field of data assimilation as it will now have even more information on the techniques, research, and applications, consolidated into one source. Includes practical exercises and solutions enabling readers to apply theory in both a theoretical formulation as well as enabling them to code theory Provides the mathematical and statistical background knowledge needed to formulate data assimilation systems into one place New to this edition: covers new topics such as Observing System Experiments (OSE) and Observing System Simulation Experiments; and expanded approaches for machine learning and artificial intelligence

Statistics for Geoscientists

Author : D. Marsal
Publisher : Elsevier
ISBN 13 : 148329613X
Total Pages : 187 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Statistics for Geoscientists by : D. Marsal

Download or read book Statistics for Geoscientists written by D. Marsal and published by Elsevier. This book was released on 2014-06-28 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents nearly all the important elementary and analytical methods of statistics, designed for the needs of the geoscientist and completely free from higher mathematics. Translated from the second German edition.

Data Visualization in the Geological Sciences

Author : James R. Carr
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Data Visualization in the Geological Sciences by : James R. Carr

Download or read book Data Visualization in the Geological Sciences written by James R. Carr and published by . This book was released on 2002 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: CD-ROM contains: Visual_Data -- Data files used in text -- Digital images used in text.

MATLAB® Recipes for Earth Sciences

Author : Martin H. Trauth
Publisher : Springer Science & Business Media
ISBN 13 : 3540727485
Total Pages : 294 pages
Book Rating : 4.5/5 (47 download)

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Book Synopsis MATLAB® Recipes for Earth Sciences by : Martin H. Trauth

Download or read book MATLAB® Recipes for Earth Sciences written by Martin H. Trauth and published by Springer Science & Business Media. This book was released on 2007 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Signal and Noise in Geosciences

Author : Martin H. Trauth
Publisher : Springer Nature
ISBN 13 : 3030749134
Total Pages : 349 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Signal and Noise in Geosciences by : Martin H. Trauth

Download or read book Signal and Noise in Geosciences written by Martin H. Trauth and published by Springer Nature. This book was released on 2021-11-06 with total page 349 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook introduces methods of geoscientific data acquisition using MATLAB in combination with inexpensive data acquisition hardware such as sensors in smartphones, sensors that come with the LEGO MINDSTORMS set, webcams with stereo microphones, and affordable spectral and thermal cameras. The text includes 35 exercises in data acquisition, such as using a smartphone to acquire stereo images of rock specimens from which to calculate point clouds, using visible and near-infrared spectral cameras to classify the minerals in rocks, using thermal cameras to differentiate between different types of surface such as between soil and vegetation, localizing a sound source using travel time differences between pairs of microphones to localize a sound source, quantifying the total harmonic distortion and signal-to-noise ratio of acoustic and elastic signals, acquiring and streaming meteorological data using application programming interfaces, wireless networks, and internet of things platforms, determining the spatial resolution of ultrasonic and optical sensors, and detecting magnetic anomalies using a smartphone magnetometer mounted on a LEGO MINDSTORMS scanner. The book’s electronic supplementary material (available online through Springer Link) contains recipes that include all the MATLAB commands featured in the book, the example data, the LEGO construction plans, photos and videos of the measurement procedures.

Statistical Data Analysis Explained

Author : Clemens Reimann
Publisher : John Wiley & Sons
ISBN 13 : 1119965284
Total Pages : 380 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis Statistical Data Analysis Explained by : Clemens Reimann

Download or read book Statistical Data Analysis Explained written by Clemens Reimann and published by John Wiley & Sons. This book was released on 2011-08-31 with total page 380 pages. Available in PDF, EPUB and Kindle. Book excerpt: Few books on statistical data analysis in the natural sciences are written at a level that a non-statistician will easily understand. This is a book written in colloquial language, avoiding mathematical formulae as much as possible, trying to explain statistical methods using examples and graphics instead. To use the book efficiently, readers should have some computer experience. The book starts with the simplest of statistical concepts and carries readers forward to a deeper and more extensive understanding of the use of statistics in environmental sciences. The book concerns the application of statistical and other computer methods to the management, analysis and display of spatial data. These data are characterised by including locations (geographic coordinates), which leads to the necessity of using maps to display the data and the results of the statistical methods. Although the book uses examples from applied geochemistry, and a large geochemical survey in particular, the principles and ideas equally well apply to other natural sciences, e.g., environmental sciences, pedology, hydrology, geography, forestry, ecology, and health sciences/epidemiology. The book is unique because it supplies direct access to software solutions (based on R, the Open Source version of the S-language for statistics) for applied environmental statistics. For all graphics and tables presented in the book, the R-scripts are provided in the form of executable R-scripts. In addition, a graphical user interface for R, called DAS+R, was developed for convenient, fast and interactive data analysis. Statistical Data Analysis Explained: Applied Environmental Statistics with R provides, on an accompanying website, the software to undertake all the procedures discussed, and the data employed for their description in the book.