Python Recipes For Earth Sciences

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Python Recipes for Earth Sciences

Author : Martin H. Trauth
Publisher : Unknown
Page : 0 pages
File Size : 53,5 Mb
Release : 2022
Category : Electronic
ISBN : 3031077202

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Python Recipes for Earth Sciences by Martin H. Trauth Pdf

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book. The Author Martin H. Trauth studied geophysics and geology at the University of Karlsruhe. He obtained a doctoral degree from the University of Kiel in 1995 and subsequently became a permanent member of the scientific staff at the University of Potsdam. Following his habilitation in 2003, he became a lecturer, and in 2011, he was granted a titular professorship at the University of Potsdam. Since 1990, Martin H. Trauth has worked on various aspects of past changes in the climates of eastern Africa and South America. His projects have aimed to provide a better understanding of (1) the role that the tropics play in terminating ice ages, (2) the relationship between climatic changes and human evolution, and (3) the influence that climate anomalies have had on mass movements in the central Andes. Each of these projects has involved numerical and statistical methods (e.g., time series analysis and signal processing) with paleoclimate time series, lake balance modeling, stochastic modeling of bioturbation, age-depth modeling of sedimentary sequences, or satellite- and microscopic image processing. Martin H. Trauth has taught a variety of courses on data analysis in the earth sciences for more than 25 years both at the University of Potsdam and at other universities around the world.

Python Recipes for Earth Sciences

Author : Martin H. Trauth
Publisher : Springer Nature
Page : 463 pages
File Size : 45,8 Mb
Release : 2022-09-28
Category : Science
ISBN : 9783031077197

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Python Recipes for Earth Sciences by Martin H. Trauth Pdf

Python is used in a wide range of geoscientific applications, such as in processing images for remote sensing, in generating and processing digital elevation models, and in analyzing time series. This book introduces methods of data analysis in the geosciences using Python that include basic statistics for univariate, bivariate, and multivariate data sets, time series analysis, and signal processing; the analysis of spatial and directional data; and image analysis. The text includes numerous examples that demonstrate how Python can be used on data sets from the earth sciences. The supplementary electronic material (available online through Springer Link) contains the example data as well as recipes that include all the Python commands featured in the book.

MATLAB® Recipes for Earth Sciences

Author : Martin Trauth
Publisher : Springer Science & Business Media
Page : 288 pages
File Size : 46,9 Mb
Release : 2007-10-13
Category : Science
ISBN : 9783540727491

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MATLAB® Recipes for Earth Sciences by Martin Trauth Pdf

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 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. The revised and updated Second Edition includes new subchapters on windowed Blackman-Tukey, Lomb-Scargle and Wavelet powerspectral analysis, statistical analysis of point distributions and digital elevation models, and a full new chapter on the statistical analysis of directional data. 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.

MATLAB® Recipes for Earth Sciences

Author : Martin H. Trauth
Publisher : Springer
Page : 427 pages
File Size : 44,6 Mb
Release : 2015-02-17
Category : Science
ISBN : 9783662462447

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MATLAB® Recipes for Earth Sciences by Martin H. Trauth Pdf

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models and the analysis of time series. This book introduces methods of data analysis in geosciences using MATLAB, such as basic statistics for univariate, bivariate and multivariate datasets, time-series analysis, signal processing, the analysis of spatial and directional data and image analysis. The revised and updated Fourth Edition includes sixteen new sections and most chapters have greatly been expanded so that they now include a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Array Manipulation; Control Flow; Creating Graphical User Interfaces; Hypothesis Testing; Kolmogorov-Smirnov Test; Mann-Whitney Test; Ansari-Bradley Test; Detecting Abrupt Transitions in Time Series; Exporting 3D Graphics to Create Interactive Documents; Importing, Processing and Exporting LANDSAT Images; Importing and Georeferencing TERRA ASTER Images; Processing and Exporting EO-1 Hyperion Images; Image Enhancement; Correction and Rectification; Shape-Based Object Detection in Images; Discriminant Analysis; and Multiple Linear Regression. The text includes numerous examples demonstrating how MATLAB can be used on data sets from earth sciences. The book’s supplementary electronic material (available online through Springer Link) includes recipes that include all the MATLAB commands featured in the book and the example data.

MATLAB® Recipes for Earth Sciences

Author : Martin Trauth
Publisher : Springer Science & Business Media
Page : 336 pages
File Size : 40,8 Mb
Release : 2010-06-26
Category : Science
ISBN : 9783642127625

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MATLAB® Recipes for Earth Sciences by Martin Trauth Pdf

MATLAB® is used for a wide range of applications in geosciences, such as image processing in remote sensing, the generation and processing of digital elevation models, and the analysis of time series. This book 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. The revised and updated Third Edition includes ten new sections and has greatly expanded on most chapters from the previous edition, including a step by step discussion of all methods before demonstrating the methods with MATLAB functions. New sections include: Data Storage and Handling, Data Structures and Classes of Objects, Generating M-Files to Regenerate Graphs, Publishing M-Files, Distribution Fitting, Nonlinear and Weighted Regression, Color-Intensity Transects of Varved Sediments, and Grain Size Analysis from Microscope Images. The text includes 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.

MATLAB® and Design Recipes for Earth Sciences

Author : Martin H. Trauth,Elisabeth Sillmann
Publisher : Springer Science & Business Media
Page : 301 pages
File Size : 50,5 Mb
Release : 2012-09-14
Category : Science
ISBN : 9783642325434

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MATLAB® and Design Recipes for Earth Sciences by Martin H. Trauth,Elisabeth Sillmann Pdf

The overall aim of the book is 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 its sister book MATLAB Recipes for Earth Sciences–3rd Edition (2010), 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.

Collecting, Processing and Presenting Geoscientific Information

Author : Martin H. Trauth,Elisabeth Sillmann
Publisher : Springer
Page : 274 pages
File Size : 52,7 Mb
Release : 2018-03-26
Category : Science
ISBN : 9783662562031

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Collecting, Processing and Presenting Geoscientific Information by Martin H. Trauth,Elisabeth Sillmann Pdf

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.

Advances in African Earth Sciences

Author : Islam Fadel,Folarin Kolawole,Mohamed Sobh,D. Sarah Stamps,Tolulope Morayo Olugboji,Musa Manzi
Publisher : Frontiers Media SA
Page : 186 pages
File Size : 46,8 Mb
Release : 2022-11-11
Category : Science
ISBN : 9782832505052

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Advances in African Earth Sciences by Islam Fadel,Folarin Kolawole,Mohamed Sobh,D. Sarah Stamps,Tolulope Morayo Olugboji,Musa Manzi Pdf

Mathematical Methods in the Earth and Environmental Sciences

Author : Adrian Burd
Publisher : Cambridge University Press
Page : 599 pages
File Size : 50,9 Mb
Release : 2019-04-18
Category : Mathematics
ISBN : 9781107117488

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Mathematical Methods in the Earth and Environmental Sciences by Adrian Burd Pdf

An accessible introduction to the mathematical methods essential for understanding processes in the Earth and environmental sciences.

Snakes on a spaceship—An overview of python in space physics

Author : Angeline G. Burrell,John Coxon,K.-Michael Aye,Leslie Lamarche,Sophie A Murray
Publisher : Frontiers Media SA
Page : 436 pages
File Size : 40,5 Mb
Release : 2023-07-20
Category : Science
ISBN : 9782832529591

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Snakes on a spaceship—An overview of python in space physics by Angeline G. Burrell,John Coxon,K.-Michael Aye,Leslie Lamarche,Sophie A Murray Pdf

Signal and Noise in Geosciences

Author : Martin H. Trauth
Publisher : Springer Nature
Page : 349 pages
File Size : 41,8 Mb
Release : 2021-11-06
Category : Science
ISBN : 9783030749132

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Signal and Noise in Geosciences by Martin H. Trauth Pdf

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.

Signal and Noise in Geosciences

Author : Martin H. Trauth
Publisher : Springer
Page : 343 pages
File Size : 54,9 Mb
Release : 2021-10-06
Category : Science
ISBN : 3030749126

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Signal and Noise in Geosciences by Martin H. Trauth Pdf

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.

Data Analysis in the Earth Sciences Using Matlab®

Author : Gerard V. Middleton
Publisher : Unknown
Page : 276 pages
File Size : 41,8 Mb
Release : 2000
Category : Earth sciences
ISBN : UCSD:31822028162485

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Data Analysis in the Earth Sciences Using Matlab® by Gerard V. Middleton Pdf

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.

Recent Advancement in Geoinformatics and Data Science

Author : Xiaogang Ma,Matty Mookerjee,Leslie Hsu,Denise Hills
Publisher : Geological Society of America
Page : 180 pages
File Size : 54,5 Mb
Release : 2023-04-11
Category : Science
ISBN : 9780813725581

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Recent Advancement in Geoinformatics and Data Science by Xiaogang Ma,Matty Mookerjee,Leslie Hsu,Denise Hills Pdf

Quantitative Biosciences Companion in Python

Author : Joshua S. Weitz,Nolan English,Alexander B. Lee,Ali Zamani
Publisher : Princeton University Press
Page : 272 pages
File Size : 53,7 Mb
Release : 2024-03-05
Category : Computers
ISBN : 9780691255675

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Quantitative Biosciences Companion in Python by Joshua S. Weitz,Nolan English,Alexander B. Lee,Ali Zamani Pdf

A hands-on lab guide in the Python programming language that enables students in the life sciences to reason quantitatively about living systems across scales This lab guide accompanies the textbook Quantitative Biosciences, providing students with the skills they need to translate biological principles and mathematical concepts into computational models of living systems. This hands-on guide uses a case study approach organized around central questions in the life sciences, introducing landmark advances in the field while teaching students—whether from the life sciences, physics, computational sciences, engineering, or mathematics—how to reason quantitatively in the face of uncertainty. Draws on real-world case studies in molecular and cellular biosciences, organismal behavior and physiology, and populations and ecological communities Encourages good coding practices, clear and understandable modeling, and accessible presentation of results Helps students to develop a diverse repertoire of simulation approaches, enabling them to model at the appropriate scale Builds practical expertise in a range of methods, including sampling from probability distributions, stochastic branching processes, continuous time modeling, Markov chains, bifurcation analysis, partial differential equations, and agent-based simulations Bridges the gap between the classroom and research discovery, helping students to think independently, troubleshoot and resolve problems, and embark on research of their own Stand-alone computational lab guides for Quantitative Biosciences also available in R and MATLAB