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Earth Systems Data Processing and Visualization Using MATLAB

Earth Systems Data Processing and Visualization Using MATLAB
Author: Zekâi Şen
Publisher:
Total Pages: 277
Release: 2020
Genre: Earth sciences
ISBN: 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.


Earth Systems Data Processing and Visualization Using MATLAB

Earth Systems Data Processing and Visualization Using MATLAB
Author: Zekâi Şen
Publisher: Springer
Total Pages: 277
Release: 2019-03-27
Genre: Science
ISBN: 3030015424

Download Earth Systems Data Processing and Visualization Using MATLAB Book in PDF, ePub and Kindle

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.


Data Analysis in the Earth Sciences Using Matlab®

Data Analysis in the Earth Sciences Using Matlab®
Author: Gerard V. Middleton
Publisher:
Total Pages: 276
Release: 2000
Genre: Computers
ISBN:

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Exploring the application of MATLAB to the various earth sciences, this text presents an integrated, step-by-step introduction to data analysis and the use of MATLAB.


Collecting, Processing and Presenting Geoscientific Information

Collecting, Processing and Presenting Geoscientific Information
Author: Martin H. Trauth
Publisher: Springer
Total Pages: 286
Release: 2018-03-26
Genre: Science
ISBN: 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.


Earth System Modelling - Volume 4

Earth System Modelling - Volume 4
Author: V. Balaji
Publisher: Springer Science & Business Media
Total Pages: 66
Release: 2013-04-06
Genre: Science
ISBN: 3642364640

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Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the issue of data input/output and post-processing in the context of Earth system modeling, with an emphasis on parallel I/O, storage management and analysis subsystems for very large scale data requirements.


MATLAB® Recipes for Earth Sciences

MATLAB® Recipes for Earth Sciences
Author: Martin H. Trauth
Publisher: Springer Science & Business Media
Total Pages: 294
Release: 2007
Genre: Computers
ISBN: 3540727485

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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.


The Earth Observer

The Earth Observer
Author:
Publisher:
Total Pages: 190
Release: 2001
Genre: Artificial satellites in earth sciences
ISBN:

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MATLAB® Recipes for Earth Sciences

MATLAB® Recipes for Earth Sciences
Author: Martin Trauth
Publisher: Springer Science & Business Media
Total Pages: 241
Release: 2006-04-20
Genre: Science
ISBN: 3540279849

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MATLAB is used in a wide range of applications in geosciences, such as image processing in remote sensing, generation and processing of digital elevation models and the analysis of time series. This book introduces basic methods of data analysis in geosciences using MATLAB. The text includes a brief description of each method and numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. All MATLAB recipes can be easily modified in order to analyse the reader's own data sets.


Earth System Modelling - Volume 6

Earth System Modelling - Volume 6
Author: Wolfgang Hiller
Publisher: Springer Science & Business Media
Total Pages: 97
Release: 2013-05-23
Genre: Science
ISBN: 3642372449

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Collected articles in this series are dedicated to the development and use of software for earth system modelling and aims at bridging the gap between IT solutions and climate science. The particular topic covered in this volume addresses the Grid software which has become an important enabling technology for several national climate community Grids that led to a new dimension of distributed data access and pre- and post-processing capabilities worldwide.


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
Total Pages: 359
Release: 2022-02-21
Genre: Computers
ISBN: 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.