Introduction to Python in Earth Science Data Analysis

Introduction to Python in Earth Science Data Analysis

Author: Maurizio Petrelli

Publisher: Springer Nature

Published: 2021-09-16

Total Pages: 229

ISBN-13: 3030780554

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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.


Google Earth and Virtual Visualizations in Geoscience Education and Research

Google Earth and Virtual Visualizations in Geoscience Education and Research

Author: Steven J. Whitmeyer

Publisher: Geological Society of America

Published: 2012-01-01

Total Pages: 492

ISBN-13: 0813724929

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GSA Special Paper 492 consists of 35 papers that collectively synthesize the development and current uses of Google Earth and associated visualization media in geoscience education and research. Chapters focus on Google Earth and related tools, such as SketchUp, Google Fusion Tables, GigaPan, and LiDAR. Many of these papers include digital media that illustrate and highlight important themes of the texts. This volume is intended to document the state of the art for geoscience applications of geobrowsers, such as Google Earth, along with providing provocative examples of where this technology is headed in the future.


Data Analysis for the Geosciences

Data Analysis for the Geosciences

Author: Michael W. Liemohn

Publisher: John Wiley & Sons

Published: 2023-10-10

Total Pages: 452

ISBN-13: 1119747899

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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.


Interactive Data Processing and 3D Visualization of the Solid Earth

Interactive Data Processing and 3D Visualization of the Solid Earth

Author: Daniel Patel

Publisher: Springer Nature

Published: 2022-02-21

Total Pages: 359

ISBN-13: 3030907163

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This book presents works detailing the application of processing and visualization techniques for analyzing the Earth’s subsurface. The topic of the book is interactive data processing and interactive 3D visualization techniques used on subsurface data. Interactive processing of data together with interactive visualization is a powerful combination which has in the recent years become possible due to hardware and algorithm advances in. The combination enables the user to perform interactive exploration and filtering of datasets while simultaneously visualizing the results so that insights can be made immediately. This makes it possible to quickly form hypotheses and draw conclusions. Case studies from the geosciences are not as often presented in the scientific visualization and computer graphics community as e.g., studies on medical, biological or chemical data. This book will give researchers in the field of visualization and computer graphics valuable insight into the open visualization challenges in the geosciences, and how certain problems are currently solved using domain specific processing and visualization techniques. Conversely, readers from the geosciences will gain valuable insight into relevant visualization and interactive processing techniques. Subsurface data has interesting characteristics such as its solid nature, large range of scales and high degree of uncertainty, which makes it challenging to visualize with standard methods. It is also noteworthy that parallel fields of research have taken place in geosciences and in computer graphics, with different terminology when it comes to representing geometry, describing terrains, interpolating data and (example-based) synthesis of data. The domains covered in this book are geology, digital terrains, seismic data, reservoir visualization and CO2 storage. The technologies covered are 3D visualization, visualization of large datasets, 3D modelling, machine learning, virtual reality, seismic interpretation and multidisciplinary collaboration. People within any of these domains and technologies are potential readers of the book.


Earth Systems Data Processing and Visualization Using MATLAB

Earth Systems Data Processing and Visualization Using MATLAB

Author: Zekâi Şen

Publisher:

Published: 2020

Total Pages: 277

ISBN-13: 9783030015435

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This book is designed to provide easy means of problem solving based on the science philosophical and logical rules that lead to effective and reliable software at the service of professional earth system scientists through numerical scientific computation techniques. Through careful examination of software illuminated by brief scientific explanations given in the book the reader may develop his/her skills of computer program writing. Science aspects that are concerned with earth systems need numerical computation procedures and algorithms of data collected from the field measurements or laboratory records. The same is also valid for data processing in social sciences and economics. Some of the data assessment and processing procedures are at the large scales and complex, and therefore, require effective and efficient computer programs. Data reduction and graphical display in addition to probabilistic and statistical calculations are among the general purposes of the book. Not only students works but also projects of researchers at universities and tasks of experts in different companies depend on reliable software. Especially, potential users of MATLAB in earth systems need a guidance book that covers a variety of practically applicable software solutions.


Collecting, Processing and Presenting Geoscientific Information

Collecting, Processing and Presenting Geoscientific Information

Author: Martin H. Trauth

Publisher: Springer

Published: 2018-03-26

Total Pages: 286

ISBN-13: 3662562030

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This second edition is an intensively revised and updated version of the book MATLAB® and Design Recipes for Earth Sciences. It aims to introduce students to the typical course followed by a data analysis project in earth sciences. A project usually involves searching relevant literature, reviewing and ranking published books and journal articles, extracting relevant information from the literature in the form of text, data, or graphs, searching and processing the relevant original data using MATLAB, and compiling and presenting the results as posters, abstracts, and oral presentations using graphics design software. The text of this book includes numerous examples on the use of internet resources, on the visualization of data with MATLAB, and on preparing scientific presentations. As with the book MATLAB Recipes for Earth Sciences–4rd Edition (2015), which demonstrates the use of statistical and numerical methods on earth science data, this book uses state-of-the art software packages, including MATLAB and the Adobe Creative Suite, to process and present geoscientific information collected during the course of an earth science project. The book's supplementary electronic material (available online through the publisher's website) includes color versions of all figures, recipes with all the MATLAB commands featured in the book, the example data, exported MATLAB graphics, and screenshots of the most important steps involved in processing the graphics.


Geoscience Data and Collections

Geoscience Data and Collections

Author: National Research Council

Publisher: National Academies Press

Published: 2002-09-23

Total Pages: 124

ISBN-13: 0309169666

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Geoscience data and collections (such as, rock and sediment cores, geophysical data, engineering records, and fossils) are necessary for industries to discover and develop domestic natural resources to fulfill the nation's energy and mineral requirements and to improve the prediction of immediate and long term hazards, such as land slides, volcanic eruptions and global climate change. While the nation has assembled a wealth of geoscience data and collections, their utility remains incompletely tapped. Many could act as invaluable resources in the future but immediate action is needed if they are to remain available. Housing of and access to geoscience data and collections have become critical issues for industry, federal and state agencies, museums, and universities. Many resources are in imminent danger of being lost through mismanagement, neglect, or disposal. A striking 46 percent of the state geological surveys polled by the committee reported that there is no space available or they have refused to accept new material. In order to address these challenges, Geoscience Data and Collections offers a comprehensive strategy for managing geoscience data and collections in the United States.


Computational Geosciences with Mathematica

Computational Geosciences with Mathematica

Author: William Haneberg

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 386

ISBN-13: 3642185541

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Computational Geosciences with Mathematica is the only book written by a geologist specifically to show geologists and geoscientists how to use Mathematica to formulate and solve problems. It spans a broad range of geologic and mathematical topics, which are drawn from the author's extensive experience in research, consulting, and teaching. The reference and text leads readers step-by-step through geologic applications such as custom graphics programming, data input and output, linear and differential equations, linear and nonlinear regression, Monte Carlo simulation, time series and image analysis, and the visualization and analysis of geologic surfaces. It is packed with actual Mathematica output and includes boxed Computer Notes with tips and exploration suggestions.


Data Visualization of Earth Science Data

Data Visualization of Earth Science Data

Author: Daniel Chou

Publisher:

Published: 2020

Total Pages: 0

ISBN-13:

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The Visualization of Earth Science tool is an extension of NASA JPL's Common Mapping Client (CMC). CMC is an open source starter-kit and framework, utilized to build project specific mapping tools. The purpose of our project is to build a general suite of new features currently not part of CMC, that can be utilized by users to better visualize and interpret various forms of satellite data. We also want to take advantage of CMC 3D capabilities, by adding 3D features. The three main types of satellite data we are focusing on are discrete points, volumetric slices, and data curtains.