Environmental Data Analysis With Matlab
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Environmental Data Analysis With Matlab
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Author : William Menke
language : en
Publisher: Academic Press
Release Date : 2016-03-07
Environmental Data Analysis With Matlab written by William Menke and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-03-07 with Mathematics categories.
Environmental Data Analysis with MatLab is a new edition that expands fundamentally on the original with an expanded tutorial approach, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. Since publication of the bestselling Environmental Data Analysis with MATLAB®, many advances have been made in environmental data analysis. One only has to consider the global warming debate to realize how critically important it is to be able to derive clear conclusions from often noisy data drawn from a broad range of sources. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios. MATLAB®, a commercial data processing environment, is used in these scenarios. Significant content is devoted to teaching how it can be effectively used in an environmental data analysis setting. This new edition, though written in a self-contained way, is supplemented with data and MATLAB® scripts that can be used as a data analysis tutorial. New features include boxed crib sheets to help identify major results and important formulas and give brief advice on how and when they should be used. Numerical derivatives and integrals are derived and illustrated. Includes log-log plots with further examples of their use. Discusses new datasets on precipitation and stream flow. Topical enhancement applies the chi-squared test to the results of the generalized least squares method. New coverage of cluster analysis and approximation techniques that are widely applied in data analysis, including Taylor Series and low-order polynomial approximations; non-linear least-squares with Newton's method; and pre-calculation and updating techniques applicable to real time data acquisition. - Provides a clear learning path for researchers and students using data analysis techniques which build upon one another, choosing the right order of presentation to substantially aid the reader in learning material - Includes crib sheets to summarize the most important data analysis techniques, results, procedures, and formulas, serving to organize the material in such a way that its sequence is more apparent - Uses real-world environmental examples and case studies formulated using the readily-available software environment in MATLAB® - Includes log-log plots with further examples of their use
Environmental Data Analysis With Matlab Or Python
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Author : William Menke
language : en
Publisher: Academic Press
Release Date : 2022-08-14
Environmental Data Analysis With Matlab Or Python written by William Menke and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-14 with Science categories.
Environmental Data Analysis with MATLAB, Third Edition, is a new edition that expands fundamentally on the original with an expanded tutorial approach, more clear organization, new crib sheets, and problem sets providing a clear learning path for students and researchers working to analyze real data sets in the environmental sciences. The work teaches the basics of the underlying theory of data analysis and then reinforces that knowledge with carefully chosen, realistic scenarios, including case studies in each chapter. The new edition is expanded to include applications to Python, an open source software environment. Significant content in Environmental Data Analysis with MATLAB, Third Edition is devoted to teaching how the programs can be effectively used in an environmental data analysis setting. This new edition offers chapters that can both be used as self-contained resources or as a step-by-step guide for students, and is supplemented with data and scripts to demonstrate relevant use cases. - Provides a clear learning path for researchers and students using data analysis techniques which build upon one another, choosing the right order of presentation to substantially aid the reader in learning material - Includes crib sheets to summarize the most important data analysis techniques, results, procedures, and formulas and worked examples to demonstrate techniques - Uses real-world environmental examples and case studies formulated using the readily-available software environment in both MATLAB® and Python - Completely updated and expanded to include coverage of Python and reorganized for better navigability - Includes access to both an instructor site with exemplary lectures and solutions to problems and a supplementary site with MATLAB LiveScripts and Python Notebooks
Numerical Methods In Environmental Data Analysis
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Author : Moses Eterigho Emetere
language : en
Publisher: Elsevier
Release Date : 2022-07-17
Numerical Methods In Environmental Data Analysis written by Moses Eterigho Emetere and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-07-17 with Science categories.
Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models. Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data. - Bridges the theoretical underpinnings of modeling to research - Illustrates the computational resolution of environmental issues alongside the use of open-source software - Provides information on the use of analogue versus digital data treatment processes
Geophysical Data Analysis
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Author : William Menke
language : en
Publisher: Academic Press
Release Date : 2018-04-10
Geophysical Data Analysis written by William Menke and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-04-10 with Science categories.
Geophysical Data Analysis: Diverse Inverse Theory, Fourth Edition is a revised and expanded introduction to inverse theory and tomography as it is practiced by geophysicists. It demonstrates the methods needed to analyze a broad spectrum of geophysical datasets, with special attention to those methods that generate images of the earth. Data analysis can be a mathematically complex activity, but the treatment in this volume is carefully designed to emphasize those mathematical techniques that readers will find the most familiar and to systematically introduce less-familiar ones. Using problems and case studies, along with MATLAB computer code and summaries of methods, the book provides data scientists and engineers in geophysics with the tools necessary to understand and apply mathematical techniques and inverse theory. - Includes material on probability, including Bayesian influence, probability density function and metropolis algorithm - Offers detailed discussion of the application of inverse theory to tectonic, gravitational and geomagnetic studies - Contains numerous examples, color figures and end-of-chapter homework problems to help readers explore and further understand presented ideas - Includes MATLAB examples and problem sets - Updated and refined throughout to bring the text in line with current understanding and improved examples and case studies - Expanded sections to cover material, such as second-derivation smoothing and chi-squared tests not covered in the previous edition
Democratizing Data Environmental Data Access And Its Future
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Author : Michael C. Kruk
language : en
Publisher: Frontiers Media SA
Release Date : 2023-02-27
Democratizing Data Environmental Data Access And Its Future written by Michael C. Kruk and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-02-27 with Science categories.
Introduction To Environmental Data Science
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Author : William W. Hsieh
language : en
Publisher: Cambridge University Press
Release Date : 2023-03-23
Introduction To Environmental Data Science written by William W. Hsieh and has been published by Cambridge University Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Science categories.
Statistical and machine learning methods have many applications in the environmental sciences, including prediction and data analysis in meteorology, hydrology and oceanography; pattern recognition for satellite images from remote sensing; management of agriculture and forests; assessment of climate change; and much more. With rapid advances in machine learning in the last decade, this book provides an urgently needed, comprehensive guide to machine learning and statistics for students and researchers interested in environmental data science. It includes intuitive explanations covering the relevant background mathematics, with examples drawn from the environmental sciences. A broad range of topics is covered, including correlation, regression, classification, clustering, neural networks, random forests, boosting, kernel methods, evolutionary algorithms and deep learning, as well as the recent merging of machine learning and physics. End‐of‐chapter exercises allow readers to develop their problem-solving skills, and online datasets allow readers to practise analysis of real data.
Environmental Systems Analysis With Matlab
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Author : Stefano Marsili-Libelli
language : en
Publisher: CRC Press
Release Date : 2018-09-03
Environmental Systems Analysis With Matlab written by Stefano Marsili-Libelli and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-09-03 with Mathematics categories.
Explore the inner workings of environmental processes using a mathematical approach. Environmental Systems Analysis with MATLAB® combines environmental science concepts and system theory with numerical techniques to provide a better understanding of how our environment works. The book focuses on building mathematical models of environmental systems, and using these models to analyze their behaviors. Designed with the environmental professional in mind, it offers a practical introduction to developing the skills required for managing environmental modeling and data handling. The book follows a logical sequence from the basic steps of model building and data analysis to implementing these concepts into working computer codes, and then on to assessing their results. It describes data processing (rarely considered in environmental analysis); outlines the tools needed to successfully analyze data and develop models, and moves on to real-world problems. The author illustrates in the first four chapters the methodological aspects of environmental systems analysis, and in subsequent chapters applies them to specific environmental concerns. The accompanying software bundle is freely downloadable from the book web site. It follows the chapters sequence and provides a hands-on experience, allowing the reader to reproduce the figures in the text and experiment by varying the problem setting. A basic MATLAB literacy is required to get the most out of the software. Ideal for coursework and self-study, this offering: Deals with the basic concepts of environmental modeling and identification, both from the mechanistic and the data-driven viewpoint Provides a unifying methodological approach to deal with specific aspects of environmental modeling: population dynamics, flow systems, and environmental microbiology Assesses the similarities and the differences of microbial processes in natural and man-made environments Analyzes several aquatic ecosystems’ case studies Presents an application of an extended Streeter & Phelps (S&P) model Describes an ecological method to estimate the bioavailable nutrients in natural waters Considers a lagoon ecosystem from several viewpoints, including modeling and management, and more
Machine Learning And Clustering For A Sustainable Future
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Author : Alma Yunuen Raya-Tapia
language : en
Publisher: Springer Nature
Release Date : 2025-10-02
Machine Learning And Clustering For A Sustainable Future written by Alma Yunuen Raya-Tapia and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-10-02 with Computers categories.
This book explores cutting-edge machine learning and clustering techniques to tackle critical challenges in engineering, environmental science, and sustainability. The book provides an in-depth examination of clustering methodologies, covering unsupervised and supervised techniques, data preprocessing, distance metrics, and cluster validation methods such as the elbow and silhouette techniques. Readers will find practical insights into applying these methods to real-world problems, including clustering greenhouse gas emissions, optimizing energy systems, and analyzing the energy-food nexus in the context of global crises. By integrating theoretical foundations with hands-on applications, this book serves as a valuable resource for researchers, engineers, and professionals seeking data-driven solutions for sustainability challenges.
Advanced Mapping Of Environmental Data
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Author : Mikhail Kanevski
language : en
Publisher: John Wiley & Sons
Release Date : 2013-05-10
Advanced Mapping Of Environmental Data written by Mikhail Kanevski and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-05-10 with Social Science categories.
This book combines geostatistics and global mapping systems to present an up-to-the-minute study of environmental data. Featuring numerous case studies, the reference covers model dependent (geostatistics) and data driven (machine learning algorithms) analysis techniques such as risk mapping, conditional stochastic simulations, descriptions of spatial uncertainty and variability, artificial neural networks (ANN) for spatial data, Bayesian maximum entropy (BME), and more.
Advanced Statistical Analysis For Soil Scientists
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Author : Tancredo Souza
language : en
Publisher: Springer Nature
Release Date : 2025-06-24
Advanced Statistical Analysis For Soil Scientists written by Tancredo Souza and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-24 with Technology & Engineering categories.
In the evolving field of soil science, advanced statistical analysis has become essential for understanding complex soil processes. Handbook of Advanced Statistical Analysis Applied offers a comprehensive guide to modern statistical methods such as PERMANOVA, ANOSIM, PCA, NMDS, RDA, and SEM, tailored specifically for soil science research.Through practical examples and case studies, the book demonstrates how these techniques can be applied to analyze complex datasets, identify patterns, and model interactions within soil ecosystems. It provides step-by-step guidance on data preparation, analysis, and interpretation, making it a valuable resource for students, early-career researchers, and professionals in soil science. By combining theoretical foundations with practical applications, Handbook of Advanced Statistical Analysis Applied presentes analytical tools needed to conduct rigorous research, contribute to scientific knowledge, and address challenges in sustainable land management. This book serves as a critical resource for mastering advanced statistical approaches in soil science.