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Author : James R. Carr
Publisher :
ISBN 13 :
Total Pages : 292 pages
Book Rating : 4.:/5 (318 download)
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.
Author : Maurizio Petrelli
Publisher : Springer Nature
ISBN 13 : 3030780554
Total Pages : 229 pages
Book Rating : 4.0/5 (37 download)
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.
Author : Steven J. Whitmeyer
Publisher : Geological Society of America
ISBN 13 : 0813724929
Total Pages : 492 pages
Book Rating : 4.8/5 (137 download)
Download or read book Google Earth and Virtual Visualizations in Geoscience Education and Research written by Steven J. Whitmeyer and published by Geological Society of America. This book was released on 2012-01-01 with total page 492 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Michael W. Liemohn
Publisher : John Wiley & Sons
ISBN 13 : 1119747899
Total Pages : 452 pages
Book Rating : 4.1/5 (197 download)
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.
Author : Daniel Patel
Publisher : Springer Nature
ISBN 13 : 3030907163
Total Pages : 359 pages
Book Rating : 4.0/5 (39 download)
Download or read book Interactive Data Processing and 3D Visualization of the Solid Earth written by Daniel Patel and published by Springer Nature. This book was released on 2022-02-21 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Zekâi Şen
Publisher :
ISBN 13 : 9783030015435
Total Pages : 277 pages
Book Rating : 4.0/5 (154 download)
Download or read book Earth Systems Data Processing and Visualization Using MATLAB written by Zekâi Şen and published by . This book was released on 2020 with total page 277 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Martin H. Trauth
Publisher : Springer
ISBN 13 : 3662562030
Total Pages : 286 pages
Book Rating : 4.6/5 (625 download)
Download or read book Collecting, Processing and Presenting Geoscientific Information written by Martin H. Trauth and published by Springer. This book was released on 2018-03-26 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309169666
Total Pages : 124 pages
Book Rating : 4.3/5 (91 download)
Download or read book Geoscience Data and Collections written by National Research Council and published by National Academies Press. This book was released on 2002-09-23 with total page 124 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Daniel Chou
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.6/5 (625 download)
Download or read book Data Visualization of Earth Science Data written by Daniel Chou and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : Raffaele de Amicis
Publisher : Springer Science & Business Media
ISBN 13 : 9048128994
Total Pages : 493 pages
Book Rating : 4.0/5 (481 download)
Download or read book GeoSpatial Visual Analytics written by Raffaele de Amicis and published by Springer Science & Business Media. This book was released on 2009-07-11 with total page 493 pages. Available in PDF, EPUB and Kindle. Book excerpt: Access, distribution and processing of Geographic Information (GI) are basic preconditions to support strategic environmental decision-making. The heterogeneity of information on the environment today available is driving a wide number of initiatives, on both sides of the Atlantic, all advocating both the strategic role of proper management and processing of environme- related data as well as the importance of harmonized IT infrastructures designed to better monitor and manage the environment. The extremely wide range of often multidimensional environmental information made available at the global scale poses a great challenge to technologists and scientists to find extremely sophisticated yet effective ways to provide access to relevant data patterns within such a vast and highly dynamic information flow. In the past years the domain of 3D scientific visualization has developed several solutions designed for operators requiring to access results of a simulation through the use of 3D visualization that could support the understanding of an evolving phenomenon. However 3D data visualization alone does not provide model and hypothesis-making neither it provide tools to validate results. In order overcome this shortcoming, in recent years scientists have developed a discipline that combines the benefits of data mining and information visualization, which is often referred to as Visual Analytics (VA).
Author : Antonella Buccianti
Publisher : Geological Society of London
ISBN 13 : 9781862392052
Total Pages : 232 pages
Book Rating : 4.3/5 (92 download)
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.
Author : Barbara W. Murck
Publisher : John Wiley & Sons
ISBN 13 : 1118996518
Total Pages : 546 pages
Book Rating : 4.1/5 (189 download)
Download or read book Visualizing Geology written by Barbara W. Murck and published by John Wiley & Sons. This book was released on 2015-12-21 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: The newly revised Fourth Edition of Visualizing Geology, WileyPLUS NextGen Card and Loose-leaf Set Single Semester delivers an authoritative and thorough exploration of introductory Earth system science and geology in the distinctive style of the Wiley Visualizing series. Students learn about the three grand geologic cycles – tectonic, rock, and water – and how they interact to create and shape the geologic features we see and experience. This single-semester loose-leaf set includes access to the renowned WileyPLUS NextGen digital learning environment, an indispensable pedagogical addition to any classroom.
Author : William Haneberg
Publisher : Springer Science & Business Media
ISBN 13 : 3642185541
Total Pages : 386 pages
Book Rating : 4.6/5 (421 download)
Download or read book Computational Geosciences with Mathematica written by William Haneberg and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Author : B.S. Daya Sagar
Publisher : Springer
ISBN 13 : 3319789996
Total Pages : 911 pages
Book Rating : 4.3/5 (197 download)
Download or read book Handbook of Mathematical Geosciences written by B.S. Daya Sagar and published by Springer. This book was released on 2018-06-25 with total page 911 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Open Access handbook published at the IAMG's 50th anniversary, presents a compilation of invited path-breaking research contributions by award-winning geoscientists who have been instrumental in shaping the IAMG. It contains 45 chapters that are categorized broadly into five parts (i) theory, (ii) general applications, (iii) exploration and resource estimation, (iv) reviews, and (v) reminiscences covering related topics like mathematical geosciences, mathematical morphology, geostatistics, fractals and multifractals, spatial statistics, multipoint geostatistics, compositional data analysis, informatics, geocomputation, numerical methods, and chaos theory in the geosciences.
Author : John C. Davis
Publisher : John Wiley & Sons
ISBN 13 :
Total Pages : 584 pages
Book Rating : 4.3/5 (91 download)
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.
Author : Daniel Patel
Publisher :
ISBN 13 : 9783030907174
Total Pages : 0 pages
Book Rating : 4.9/5 (71 download)
Download or read book Interactive Data Processing and 3D Visualization of the Solid Earth written by Daniel Patel and published by . This book was released on 2021 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 combined with interactive visualization is a powerful combination which have in the recent years become possible due to hardware and algorithm developments. 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 the book are geology, digital terrains, seismic data, reservoir visualization and CO2 storage. The technologies covered within these topics 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. .
Author : Nilanjan Dey
Publisher : Springer
ISBN 13 : 3319899236
Total Pages : 163 pages
Book Rating : 4.3/5 (198 download)
Download or read book Big Data for Remote Sensing: Visualization, Analysis and Interpretation written by Nilanjan Dey and published by Springer. This book was released on 2018-05-23 with total page 163 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book thoroughly covers the remote sensing visualization and analysis techniques based on computational imaging and vision in Earth science. Remote sensing is considered a significant information source for monitoring and mapping natural and man-made land through the development of sensor resolutions that committed different Earth observation platforms. The book includes related topics for the different systems, models, and approaches used in the visualization of remote sensing images. It offers flexible and sophisticated solutions for removing uncertainty from the satellite data. It introduces real time big data analytics to derive intelligence systems in enterprise earth science applications. Furthermore, the book integrates statistical concepts with computer-based geographic information systems (GIS). It focuses on image processing techniques for observing data together with uncertainty information raised by spectral, spatial, and positional accuracy of GPS data. The book addresses several advanced improvement models to guide the engineers in developing different remote sensing visualization and analysis schemes. Highlights on the advanced improvement models of the supervised/unsupervised classification algorithms, support vector machines, artificial neural networks, fuzzy logic, decision-making algorithms, and Time Series Model and Forecasting are addressed. This book guides engineers, designers, and researchers to exploit the intrinsic design remote sensing systems. The book gathers remarkable material from an international experts' panel to guide the readers during the development of earth big data analytics and their challenges.
