Quantitative Analysis And Modeling Of Earth And Environmental Data

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Quantitative Analysis and Modeling of Earth and Environmental Data

Author : Jiaping Wu
Publisher : Elsevier
ISBN 13 : 0128163429
Total Pages : 504 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Quantitative Analysis and Modeling of Earth and Environmental Data by : Jiaping Wu

Download or read book Quantitative Analysis and Modeling of Earth and Environmental Data written by Jiaping Wu and published by Elsevier. This book was released on 2021-12-04 with total page 504 pages. Available in PDF, EPUB and Kindle. Book excerpt: Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations introduces the notion of chronotopologic data analysis that offers a systematic, quantitative analysis of multi-sourced data and provides information about the spatial distribution and temporal dynamics of natural attributes (physical, biological, health, social). It includes models and techniques for handling data that may vary by space and/or time, and aims to improve understanding of the physical laws of change underlying the available numerical datasets, while taking into consideration the in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). It considers the synthesis of scientific theory-based methods (stochastic modeling, modern geostatistics) and data-driven techniques (machine learning, artificial neural networks) so that their individual strengths are combined by acting symbiotically and complementing each other. The notions and methods presented in Quantitative Analysis and Modeling of Earth and Environmental Data: Space-Time and Spacetime Data Considerations cover a wide range of data in various forms and sources, including hard measurements, soft observations, secondary information and auxiliary variables (ground-level measurements, satellite observations, scientific instruments and records, protocols and surveys, empirical models and charts). Including real-world practical applications as well as practice exercises, this book is a comprehensive step-by-step tutorial of theory-based and data-driven techniques that will help students and researchers master data analysis and modeling in earth and environmental sciences (including environmental health and human exposure applications). Explores the analysis and processing of chronotopologic (i.e., space-time and spacetime) data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines Studies the synthesis of scientific theory and empirical evidence (in its various forms) that offers a mathematically rigorous and physically meaningful assessment of real-world phenomena Covers a wide range of data describing a variety of attributes characterizing physical phenomena and systems including earth, ocean and atmospheric variables, environmental and ecological parameters, population health states, disease indicators, and social and economic characteristics Includes case studies and practice exercises at the end of each chapter for both real-world applications and deeper understanding of the concepts presented

Environmental Data Analysis with MatLab

Author : William Menke
Publisher : Elsevier
ISBN 13 : 0123918871
Total Pages : 288 pages
Book Rating : 4.1/5 (239 download)

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Book Synopsis Environmental Data Analysis with MatLab by : William Menke

Download or read book Environmental Data Analysis with MatLab written by William Menke and published by Elsevier. This book was released on 2009-10-13 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental Data Analysis with MatLab is a reference work designed to teach students and researchers the basics of data analysis in the environmental sciences using MatLab, and more specifically how to analyze data sets in carefully chosen, realistic scenarios. Although written in a self-contained way, the text is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial, available at the author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm. This book is organized into 12 chapters. After introducing the reader to the basics of data analysis with MatLab, the discussion turns to the power of linear models; quantifying preconceptions; detecting periodicities; patterns suggested by data; detecting correlations among the data; filling in missing data; and determining whether your results are significant. Homework problems help users follow up upon case studies. This text will appeal to environmental scientists, specialists, researchers, analysts, and undergraduate and graduate students in Environmental Engineering, Environmental Biology and Earth Science courses, who are working to analyze data and communicate results. Well written and outlines a clear learning path for researchers and students Uses real world environmental examples and case studies MatLab software for application in a readily-available software environment Homework problems help user follow up upon case studies with homework that expands them

Analyzing Environmental Data

Author : Walter W. Piegorsch
Publisher : John Wiley & Sons
ISBN 13 : 0470012226
Total Pages : 512 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Analyzing Environmental Data by : Walter W. Piegorsch

Download or read book Analyzing Environmental Data written by Walter W. Piegorsch and published by John Wiley & Sons. This book was released on 2005-06-10 with total page 512 pages. Available in PDF, EPUB and Kindle. Book excerpt: Environmental statistics is a rapidly growing field, supported by advances in digital computing power, automated data collection systems, and interactive, linkable Internet software. Concerns over public and ecological health and the continuing need to support environmental policy-making and regulation have driven a concurrent explosion in environmental data analysis. This textbook is designed to address the need for trained professionals in this area. The book is based on a course which the authors have taught for many years, and prepares students for careers in environmental analysis centered on statistics and allied quantitative methods of data evaluation. The text extends beyond the introductory level, allowing students and environmental science practitioners to develop the expertise to design and perform sophisticated environmental data analyses. In particular, it: Provides a coherent introduction to intermediate and advanced methods for modeling and analyzing environmental data. Takes a data-oriented approach to describing the various methods. Illustrates the methods with real-world examples Features extensive exercises, enabling use as a course text. Includes examples of SAS computer code for implementation of the statistical methods. Connects to a Web site featuring solutions to exercises, extra computer code, and additional material. Serves as an overview of methods for analyzing environmental data, enabling use as a reference text for environmental science professionals. Graduate students of statistics studying environmental data analysis will find this invaluable as will practicing data analysts and environmental scientists including specialists in atmospheric science, biology and biomedicine, chemistry, ecology, environmental health, geography, and geology.

Modeling and Data Analysis: An Introduction with Environmental Applications

Author : John B. Little
Publisher : American Mathematical Soc.
ISBN 13 : 1470448696
Total Pages : 323 pages
Book Rating : 4.4/5 (74 download)

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Book Synopsis Modeling and Data Analysis: An Introduction with Environmental Applications by : John B. Little

Download or read book Modeling and Data Analysis: An Introduction with Environmental Applications written by John B. Little and published by American Mathematical Soc.. This book was released on 2019-03-28 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can we coexist with the other life forms that have evolved on this planet? Are there realistic alternatives to fossil fuels that would sustainably provide for human society's energy needs and have fewer harmful effects? How do we deal with threats such as emergent diseases? Mathematical models—equations of various sorts capturing relationships between variables involved in a complex situation—are fundamental for understanding the potential consequences of choices we make. Extracting insights from the vast amounts of data we are able to collect requires analysis methods and statistical reasoning. This book on elementary topics in mathematical modeling and data analysis is intended for an undergraduate “liberal arts mathematics”-type course but with a specific focus on environmental applications. It is suitable for introductory courses with no prerequisites beyond high school mathematics. A great variety of exercises extends the discussions of the main text to new situations and/or introduces new real-world examples. Every chapter ends with a section of problems, as well as with an extended chapter project which often involves substantial computing work either in spreadsheet software or in the R statistical package.

Statistics for Earth and Environmental Scientists

Author : John H. Schuenemeyer
Publisher : John Wiley & Sons
ISBN 13 : 1118102215
Total Pages : 341 pages
Book Rating : 4.1/5 (181 download)

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Book Synopsis Statistics for Earth and Environmental Scientists by : John H. Schuenemeyer

Download or read book Statistics for Earth and Environmental Scientists written by John H. Schuenemeyer and published by John Wiley & Sons. This book was released on 2011-04-12 with total page 341 pages. Available in PDF, EPUB and Kindle. Book excerpt: A comprehensive treatment of statistical applications for solving real-world environmental problems A host of complex problems face today's earth science community, such as evaluating the supply of remaining non-renewable energy resources, assessing the impact of people on the environment, understanding climate change, and managing the use of water. Proper collection and analysis of data using statistical techniques contributes significantly toward the solution of these problems. Statistics for Earth and Environmental Scientists presents important statistical concepts through data analytic tools and shows readers how to apply them to real-world problems. The authors present several different statistical approaches to the environmental sciences, including Bayesian and nonparametric methodologies. The book begins with an introduction to types of data, evaluation of data, modeling and estimation, random variation, and sampling—all of which are explored through case studies that use real data from earth science applications. Subsequent chapters focus on principles of modeling and the key methods and techniques for analyzing scientific data, including: Interval estimation and Methods for analyzinghypothesis testing of means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept and application, given as equations, and then accompanied by heuristic justification rather than a formal proof. Data analysis, model building, and statistical inference are stressed throughout, and readers are encouraged to collect their own data to incorporate into the exercises at the end of each chapter. Most data sets, graphs, and analyses are computed using R, but can be worked with using any statistical computing software. A related website features additional data sets, answers to selected exercises, and R code for the book's examples. Statistics for Earth and Environmental Scientists is an excellent book for courses on quantitative methods in geology, geography, natural resources, and environmental sciences at the upper-undergraduate and graduate levels. It is also a valuable reference for earth scientists, geologists, hydrologists, and environmental statisticians who collect and analyze data in their everyday work.

Spatial Modeling in GIS and R for Earth and Environmental Sciences

Author : Hamid Reza Pourghasemi
Publisher : Elsevier
ISBN 13 : 0128156953
Total Pages : 798 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Spatial Modeling in GIS and R for Earth and Environmental Sciences by : Hamid Reza Pourghasemi

Download or read book Spatial Modeling in GIS and R for Earth and Environmental Sciences written by Hamid Reza Pourghasemi and published by Elsevier. This book was released on 2019-01-18 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Spatial Modeling in GIS and R for Earth and Environmental Sciences offers an integrated approach to spatial modelling using both GIS and R. Given the importance of Geographical Information Systems and geostatistics across a variety of applications in Earth and Environmental Science, a clear link between GIS and open source software is essential for the study of spatial objects or phenomena that occur in the real world and facilitate problem-solving. Organized into clear sections on applications and using case studies, the book helps researchers to more quickly understand GIS data and formulate more complex conclusions. The book is the first reference to provide methods and applications for combining the use of R and GIS in modeling spatial processes. It is an essential tool for students and researchers in earth and environmental science, especially those looking to better utilize GIS and spatial modeling. Offers a clear, interdisciplinary guide to serve researchers in a variety of fields, including hazards, land surveying, remote sensing, cartography, geophysics, geology, natural resources, environment and geography Provides an overview, methods and case studies for each application Expresses concepts and methods at an appropriate level for both students and new users to learn by example

Environmental Data Analysis

Author : Zhihua Zhang
Publisher : Walter de Gruyter GmbH & Co KG
ISBN 13 : 3110424908
Total Pages : 334 pages
Book Rating : 4.1/5 (14 download)

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Book Synopsis Environmental Data Analysis by : Zhihua Zhang

Download or read book Environmental Data Analysis written by Zhihua Zhang and published by Walter de Gruyter GmbH & Co KG. This book was released on 2016-11-21 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: Most environmental data involve a large degree of complexity and uncertainty. Environmental Data Analysis is created to provide modern quantitative tools and techniques designed specifically to meet the needs of environmental sciences and related fields. This book has an impressive coverage of the scope. Main techniques described in this book are models for linear and nonlinear environmental systems, statistical & numerical methods, data envelopment analysis, risk assessments and life cycle assessments. These state-of-the-art techniques have attracted significant attention over the past decades in environmental monitoring, modeling and decision making. Environmental Data Analysis explains carefully various data analysis procedures and techniques in a clear, concise, and straightforward language and is written in a self-contained way that is accessible to researchers and advanced students in science and engineering. This is an excellent reference for scientists and engineers who wish to analyze, interpret and model data from various sources, and is also an ideal graduate-level textbook for courses in environmental sciences and related fields. Contents: Preface Time series analysis Chaos and dynamical systems Approximation Interpolation Statistical methods Numerical methods Optimization Data envelopment analysis Risk assessments Life cycle assessments Index

Quantitative Methods in Environmental and Climate Research

Author : Michela Cameletti
Publisher : Springer
ISBN 13 : 303001584X
Total Pages : 136 pages
Book Rating : 4.0/5 (3 download)

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Book Synopsis Quantitative Methods in Environmental and Climate Research by : Michela Cameletti

Download or read book Quantitative Methods in Environmental and Climate Research written by Michela Cameletti and published by Springer. This book was released on 2018-12-30 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: This books presents some of the most recent and advanced statistical methods used to analyse environmental and climate data, and addresses the spatial and spatio-temporal dimensions of the phenomena studied, the multivariate complexity of the data, and the necessity of considering uncertainty sources and propagation. The topics covered include: detecting disease clusters, analysing harvest data, change point detection in ground-level ozone concentration, modelling atmospheric aerosol profiles, predicting wind speed, precipitation prediction and analysing spatial cylindrical data. The volume presents revised versions of selected contributions submitted at the joint TIES-GRASPA 2017 Conference on Climate and Environment, which was held at the University of Bergamo, Italy. As it is chiefly intended for researchers working at the forefront of statistical research in environmental applications, readers should be familiar with the basic methods for analysing spatial and spatio-temporal data.

Environmental Data Analysis with MatLab or Python

Author : William Menke
Publisher : Academic Press
ISBN 13 : 0323955770
Total Pages : 466 pages
Book Rating : 4.3/5 (239 download)

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Book Synopsis Environmental Data Analysis with MatLab or Python by : William Menke

Download or read book Environmental Data Analysis with MatLab or Python written by William Menke and published by Academic Press. This book was released on 2022-08-14 with total page 466 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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

Introduction to Environmental Data Analysis and Modeling

Author : Moses Eterigho Emetere
Publisher : Springer Nature
ISBN 13 : 3030362078
Total Pages : 239 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Introduction to Environmental Data Analysis and Modeling by : Moses Eterigho Emetere

Download or read book Introduction to Environmental Data Analysis and Modeling written by Moses Eterigho Emetere and published by Springer Nature. This book was released on 2020-01-03 with total page 239 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces numerical methods for processing datasets which may be of any form, illustrating adequately computational resolution of environmental alongside the use of open source libraries. This book solves the challenges of misrepresentation of datasets that are relevant directly or indirectly to the research. It illustrates new ways of screening datasets or images for maximum utilization. The adoption of various numerical methods in dataset treatment would certainly create a new scientific approach. The book enlightens researchers on how to analyse measurements to ensure 100% utilization. It introduces new ways of data treatment that are based on a sound mathematical and computational approach.

Value of Information in the Earth Sciences

Author : Jo Eidsvik
Publisher :
ISBN 13 : 9781316439227
Total Pages : 385 pages
Book Rating : 4.4/5 (392 download)

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Book Synopsis Value of Information in the Earth Sciences by : Jo Eidsvik

Download or read book Value of Information in the Earth Sciences written by Jo Eidsvik and published by . This book was released on 2015 with total page 385 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Quantitative Methods for Current Environmental Issues

Author : Clive W. Anderson
Publisher : Springer Science & Business Media
ISBN 13 : 1447106571
Total Pages : 270 pages
Book Rating : 4.4/5 (471 download)

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Book Synopsis Quantitative Methods for Current Environmental Issues by : Clive W. Anderson

Download or read book Quantitative Methods for Current Environmental Issues written by Clive W. Anderson and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: It is increasingly clear that good quantitative work in the environmental sciences must be genuinely interdisciplinary. This volume, the proceedings of the first combined TIES/SPRUCE conference held at the University of Sheffield in September 2000, well demonstrates the truth of this assertion, highlighting the successful use of both statistics and mathematics in important practical problems. It brings together distinguished scientists and engineers to present the most up-to-date and practical methods for quantitative measurement and prediction and is organised around four themes: - spatial and temporal models and methods; - environmental sampling and standards; - atmosphere and ocean; - risk and uncertainty. Quantitative Methods for Current Environmental Issues is an invaluable resource for statisticians, applied mathematicians and researchers working on environmental problems, and for those in government agencies and research institutes involved in the analysis of environmental issues.

Encyclopedia of Mathematical Geosciences

Author : B. S. Daya Sagar
Publisher : Springer Nature
ISBN 13 : 3030850404
Total Pages : 1744 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Encyclopedia of Mathematical Geosciences by : B. S. Daya Sagar

Download or read book Encyclopedia of Mathematical Geosciences written by B. S. Daya Sagar and published by Springer Nature. This book was released on 2023-07-13 with total page 1744 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mathematical Geosciences. Over 300 international scientists, each expert in their specialties, have written around 350 separate articles on different topics of mathematical geosciences including contributions on Artificial Intelligence, Big Data, Compositional Data Analysis, Geomathematics, Geostatistics, Geographical Information Science, Mathematical Morphology, Mathematical Petrology, Multifractals, Multiple Point Statistics, Spatial Data Science, Spatial Statistics, and Stochastic Process Modeling. Each topic incorporates cross-referencing to related articles, and also has its own reference list to lead the reader to essential articles within the published literature. The entries are arranged alphabetically, for easy access, and the subject and author indices are comprehensive and extensive.

Environmental Management

Author : Chris Barrow
Publisher : Taylor & Francis
ISBN 13 : 1040010938
Total Pages : 441 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Environmental Management by : Chris Barrow

Download or read book Environmental Management written by Chris Barrow and published by Taylor & Francis. This book was released on 2024-04-29 with total page 441 pages. Available in PDF, EPUB and Kindle. Book excerpt: This comprehensively updated third edition explores the nature and role of environmental management and offers an introduction to this rapidly expanding and changing field. It focuses on challenges and opportunities, and core concepts including sustainable development. The book is divided into five parts: Part I (Introduction to Environmental Management): four introductory chapters cover the justification for environmental management, its theory, scope, goals and scientific background Part II (Practice): explores environmental management in economics, law and business and environmental management’s relation with environmentalism, international agreements and monitoring Part III (Global Challenges and Opportunities): examines resources, challenges and opportunities, both natural and human-caused or human-aggravated Part IV (Responses to Global Challenges and Opportunities): explores mitigation, vulnerability, resilience, adaptation and how technology, social change and politics affect responses to challenges Part V (The Future): the final chapter considers the way ahead for environmental management in the future. With its well-structured coverage, effective illustrations and foundation for further, more-focused interest, this book is easily accessible to all. It is an essential reference for undergraduates and postgraduates studying environmental management and sustainability, and an important resource for many students on courses including environmental science, environmental studies and human geography.

Basic Environmental Data Analysis for Scientists and Engineers

Author : Ralph R.B. Von Frese
Publisher : CRC Press
ISBN 13 : 1000725758
Total Pages : 223 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Basic Environmental Data Analysis for Scientists and Engineers by : Ralph R.B. Von Frese

Download or read book Basic Environmental Data Analysis for Scientists and Engineers written by Ralph R.B. Von Frese and published by CRC Press. This book was released on 2019-11-22 with total page 223 pages. Available in PDF, EPUB and Kindle. Book excerpt: Classroom tested and the result of over 30 years of teaching and research, this textbook is an invaluable tool for undergraduate and graduate data analysis courses in environmental sciences and engineering. It is also a useful reference on modern digital data analysis for the extensive and growing community of Earth scientists and engineers. Basic Environmental Data Analysis for Scientists and Engineers introduces practical concepts of modern digital data analysis and graphics, including numerical/graphical calculus, measurement units and dimensional analysis, error propagation and statistics, and least squares data modeling. It emphasizes array-based or matrix inversion and spectral analysis using the fast Fourier transform (FFT) that dominates modern data analysis. Divided into two parts, this comprehensive hands-on textbook is excellent for exploring data analysis principles and practice using MATLAB®, Mathematica, Mathcad, and other modern equation solving software. Part I, for beginning undergraduate students, introduces the basic approaches for quantifying data variations in terms of environmental parameters. These approaches emphasize uses of the data array or matrix, which is the fundamental data and mathematical processing format of modern electronic computing. Part II, for advanced undergraduate and beginning graduate students, extends the inverse problem to least squares solutions involving more than two unknowns. Features: Offers a uniquely practical guide for making students proficient in modern electronic data analysis and graphics Includes topics that are not explained in any existing textbook on environmental data analysis Data analysis topics are very well organized into a two-semester course that meets general education curriculum requirements in science and engineering Facilitates learning by beginning each chapter with an ‘Overview’ section highlighting the topics covered, and ending it with a ‘Key Concepts’ section summarizing the main technical details that the reader should have acquired Indexes many numerical examples for ready access in the classroom or other venues serviced by electronic equation solvers like MATLAB®, Mathematica, Mathcad, etc. Offers supplemental exercises and materials to enhance understanding the principles and practice of modern data analysis

Methods and Applications of Statistics in the Atmospheric and Earth Sciences

Author : Narayanaswamy Balakrishnan
Publisher : John Wiley & Sons
ISBN 13 : 0470503440
Total Pages : 384 pages
Book Rating : 4.4/5 (75 download)

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Book Synopsis Methods and Applications of Statistics in the Atmospheric and Earth Sciences by : Narayanaswamy Balakrishnan

Download or read book Methods and Applications of Statistics in the Atmospheric and Earth Sciences written by Narayanaswamy Balakrishnan and published by John Wiley & Sons. This book was released on 2012-11-19 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: Explore the classic and cutting-edge quantitative methods for understanding environmental science research Based on the multifaceted 16-volume Encyclopedia of Statistical Sciences, Second Edition, Methods and Applications of Statistics in the Atmospheric and Earth Sciences offers guidance on the application of statistical methods for conducting research in these fields of study. With contributions from more than 100 leading experts in academia and industry, this volume combines key articles from the Encyclopedia with newly developed topics addressing some of the more critical issues, including pollution, droughts, and volcanic activity. Readers will gain a thorough understanding of cutting-edge methods for the acquisition and analysis of data across a wide range of subject areas, from geophysics, geology, and biogeography to meteorology, forestry, agriculture, animal science, and ornithology. The book features new and updated content on quantitative methods and their use in understanding the latest topics in social research, including: Drought Analysis and Forecasting Childhood Obesity Ranked Set Sampling Methodology for Environmental Data Species Richness and Shared Species Richness Geographic Information Systems Each contribution offers authoritative yet easily accessible coverage of statistical concepts. With updated references and discussion of emerging topics, readers are provided with the various statistical methods, techniques, strategies, and applications that are essential for tackling critical issues in environmental science research. Featuring a balance of classical and cutting-edge methodologies, Methods and Applications of Statistics in the Atmospheric and Earth Sciences is an excellent resource for researchers, professionals, and students in the fields of sociology, psychology, philosophy, education, political science, and the related disciplines who would like to learn about the uses of statistics in gathering, reporting, and analyzing data.

Modeling and Data Analysis

Author : John B. Little
Publisher :
ISBN 13 : 9781470452001
Total Pages : 323 pages
Book Rating : 4.4/5 (52 download)

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Book Synopsis Modeling and Data Analysis by : John B. Little

Download or read book Modeling and Data Analysis written by John B. Little and published by . This book was released on 2019 with total page 323 pages. Available in PDF, EPUB and Kindle. Book excerpt: Can we coexist with the other life forms that have evolved on this planet? Are there realistic alternatives to fossil fuels that would sustainably provide for human society's energy needs and have fewer harmful effects? How do we deal with threats such as emergent diseases? Mathematical models—equations of various sorts capturing relationships between variables involved in a complex situation—are fundamental for understanding the potential consequences of choices we make. Extracting insights from the vast amounts of data we are able to collect requires analysis methods and statistical reasoning. This book on elementary topics in mathematical modeling and data analysis is intended for an undergraduate “liberal arts mathematics”-type course but with a specific focus on environmental applications. It is suitable for introductory courses with no prerequisites beyond high school mathematics. A great variety of exercises extends the discussions of the main text to new situations and/or introduces new real-world examples. Every chapter ends with a section of problems, as well as with an extended chapter project which often involves substantial computing work either in spreadsheet software or in the ${\tt R}$ statistical package. It is great that mathematics is finally taught as a tool to understand the challenges that the planet will be facing and to participate in the debate. The book aims at developing skills in mathematical modeling and data analysis, with a focus on the environment. The projects encourage active learning. A wonderful book! —Christiane Rousseau, Initiator of Mathematics of Planet Earth (MPE2013) and Professor of Mathematics, Université de Montréal Using diverse examples with environmental science data, this text provides a lively review of high school math. Ideal for a quantitative literacy course, it offers an excellent alternative to the typical math rehash. —Louis J. Gross, Chancellor's Professor of Ecology and Evolutionary Biology and Mathematics, University of Tennessee, Knoxville