Data Analysis For The Geosciences PDF Download
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| Author | : Michael W. Liemohn |
| Publisher | : John Wiley & Sons |
| Total Pages | : 452 |
| Release | : 2023-10-10 |
| Genre | : Science |
| ISBN | : 1119747899 |
Download Data Analysis for the Geosciences Book in PDF, ePub and Kindle
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.
| Author | : Y. Z. Ma |
| Publisher | : Springer |
| Total Pages | : 640 |
| Release | : 2019-07-15 |
| Genre | : Technology & Engineering |
| ISBN | : 3030178609 |
Download Quantitative Geosciences: Data Analytics, Geostatistics, Reservoir Characterization and Modeling Book in PDF, ePub and Kindle
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.
| Author | : Antonella Buccianti |
| Publisher | : Geological Society of London |
| Total Pages | : 232 |
| Release | : 2006 |
| Genre | : Mathematics |
| ISBN | : 9781862392052 |
Download Compositional Data Analysis in the Geosciences Book in PDF, ePub and Kindle
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.
| Author | : Maurizio Petrelli |
| Publisher | : Springer Nature |
| Total Pages | : 229 |
| Release | : 2021-09-16 |
| Genre | : Science |
| ISBN | : 3030780554 |
Download Introduction to Python in Earth Science Data Analysis Book in PDF, ePub and Kindle
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.
| Author | : |
| Publisher | : |
| Total Pages | : |
| Release | : 1986 |
| Genre | : |
| ISBN | : |
Download Statistics and Data Analysis in Geology Book in PDF, ePub and Kindle
| Author | : John C. Davis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 0 |
| Release | : 2011 |
| Genre | : Geology |
| ISBN | : |
Download Statistics and Data Analysis in Geology Book in PDF, ePub and Kindle
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.
| Author | : John C. Davis |
| Publisher | : John Wiley & Sons |
| Total Pages | : 584 |
| Release | : 1973 |
| Genre | : Science |
| ISBN | : |
Download Statistics and Data Analysis in Geology Book in PDF, ePub and Kindle
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.
| Author | : ARH Swan |
| Publisher | : Wiley-Blackwell |
| Total Pages | : 468 |
| Release | : 1995-03-29 |
| Genre | : Science |
| ISBN | : |
Download Introduction to Geological Data Analysis Book in PDF, ePub and Kindle
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.
| Author | : Robin Crockett |
| Publisher | : Cambridge University Press |
| Total Pages | : 191 |
| Release | : 2019-02-14 |
| Genre | : Mathematics |
| ISBN | : 1107142881 |
Download A Primer on Fourier Analysis for the Geosciences Book in PDF, ePub and Kindle
An intuitive introduction to basic Fourier theory, with numerous practical applications from the geosciences and worked examples in R.
| Author | : Srikanta Mishra |
| Publisher | : Elsevier |
| Total Pages | : 250 |
| Release | : 2017-10-27 |
| Genre | : Science |
| ISBN | : 0128032804 |
Download Applied Statistical Modeling and Data Analytics Book in PDF, ePub and Kindle
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
