# 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,Junyu He,George Christakos |

Publsiher | : Elsevier |

Total Pages | : 420 |

Release | : 2020-12-01 |

ISBN 10 | : 0128163429 |

ISBN 13 | : 9780128163429 |

Language | : EN, FR, DE, ES & NL |

**Quantitative Analysis and Modeling of Earth and Environmental Data Book Review:**

Quantitative Analysis and Modeling of Earth and Environmental Data: Applications for Spatial and Temporal Variation offers a systematic, quantitative analysis of multi-sourced data, including the spatial distribution and temporal dynamics of natural attributes. It covers data handling techniques that may vary by space and/or time, and aims to improve understanding of physical laws of change underlying available numerical datasets, while also considering in-situ uncertainties and relevant measurement errors (conceptual, technical, computational). Featuring real-world practical applications and practice exercises, this book is a comprehensive step-by-step tutorial of data-driven techniques that will help students and researchers master data analysis in earth and environmental sciences. The notions and methods presented in the book 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). Explores the analysis and processing data that varies spatially and/or temporally, which is the case with the majority of data in scientific and engineering disciplines 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

## Quantitative Methods of Data Analysis for the Physical Sciences and Engineering

Author | : Douglas G. Martinson |

Publsiher | : Cambridge University Press |

Total Pages | : 598 |

Release | : 2018-09-30 |

ISBN 10 | : 1107029767 |

ISBN 13 | : 9781107029767 |

Language | : EN, FR, DE, ES & NL |

**Quantitative Methods of Data Analysis for the Physical Sciences and Engineering Book Review:**

Provides thorough and comprehensive coverage of new and important quantitative methods in data science, for graduate students and practitioners.

## Mathematical Methods in the Earth and Environmental Sciences

Author | : Adrian Burd |

Publsiher | : Cambridge University Press |

Total Pages | : 550 |

Release | : 2019-04-30 |

ISBN 10 | : 1107117488 |

ISBN 13 | : 9781107117488 |

Language | : EN, FR, DE, ES & NL |

**Mathematical Methods in the Earth and Environmental Sciences Book Review:**

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

## Spatial Modeling in GIS and R for Earth and Environmental Sciences

Author | : Hamid Reza Pourghasemi,Candan Gokceoglu |

Publsiher | : Elsevier |

Total Pages | : 798 |

Release | : 2019-01-18 |

ISBN 10 | : 0128156953 |

ISBN 13 | : 9780128156957 |

Language | : EN, FR, DE, ES & NL |

**Spatial Modeling in GIS and R for Earth and Environmental Sciences Book Review:**

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

## Statistics for Earth and Environmental Scientists

Author | : John H. Schuenemeyer,Lawrence J. Drew |

Publsiher | : John Wiley & Sons |

Total Pages | : 384 |

Release | : 2011-04-12 |

ISBN 10 | : 1118102215 |

ISBN 13 | : 9781118102213 |

Language | : EN, FR, DE, ES & NL |

**Statistics for Earth and Environmental Scientists Book Review:**

A comprehensive treatment of statistical applications for solvingreal-world environmental problems A host of complex problems face today's earth science community,such as evaluating the supply of remaining non-renewable energyresources, assessing the impact of people on the environment,understanding climate change, and managing the use of water. Propercollection and analysis of data using statistical techniquescontributes significantly toward the solution of these problems.Statistics for Earth and Environmental Scientists presentsimportant statistical concepts through data analytic tools andshows readers how to apply them to real-world problems. The authors present several different statistical approaches tothe environmental sciences, including Bayesian and nonparametricmethodologies. The book begins with an introduction to types ofdata, evaluation of data, modeling and estimation, randomvariation, and sampling—all of which are explored throughcase studies that use real data from earth science applications.Subsequent chapters focus on principles of modeling and the keymethods and techniques for analyzing scientific data,including: Interval estimation and Methods for analyzinghypothesis testingof means time series data Spatial statistics Multivariate analysis Discrete distributions Experimental design Most statistical models are introduced by concept andapplication, given as equations, and then accompanied by heuristicjustification rather than a formal proof. Data analysis, modelbuilding, and statistical inference are stressed throughout, andreaders are encouraged to collect their own data to incorporateinto the exercises at the end of each chapter. Most data sets,graphs, and analyses are computed using R, but can be worked withusing any statistical computing software. A related websitefeatures additional data sets, answers to selected exercises, and Rcode for the book's examples. Statistics for Earth and Environmental Scientists is anexcellent book for courses on quantitative methods in geology,geography, natural resources, and environmental sciences at theupper-undergraduate and graduate levels. It is also a valuablereference for earth scientists, geologists, hydrologists, andenvironmental statisticians who collect and analyze data in theireveryday work.

## Ecological Numeracy

Author | : Robert A. Herendeen |

Publsiher | : John Wiley & Sons |

Total Pages | : 360 |

Release | : 1998-04-20 |

ISBN 10 | : 9780471183099 |

ISBN 13 | : 0471183091 |

Language | : EN, FR, DE, ES & NL |

**Ecological Numeracy Book Review:**

Master the fundamental math skills necessary to quantify andevaluate a broad range of environmental questions. Environmental issues are often quantitative--how much land, howmany people, what amount of pollution. Computer programs areuseful, but there is no substitute for being able to use a simplecalculation to slice through to the crux of the problem. Having agrasp of how the factors interact and whether the results makesense allows one to explain and argue a point of view forcefully todiverse audiences. With an engaging, down-to-earth style and practical problem-solvingapproach, Ecological Numeracy makes it easy to understand andmaster basic mathematical concepts and techniques that areapplicable to life-cycle assessment, energy consumption, land use,pollution generation, and a broad range of other environmentalissues. Robert Herendeen brings the numbers to life with dozens offascinating, often entertaining examples and problems. Requiring only a moderate quantitative background, EcologicalNumeracy is a superb introduction for advanced undergraduatestudents in environmental science, planning, geography, andphysical and natural sciences. It is also a valuable professionalresource for environmental managers, regulators, andadministrators.

## Environmental Data Analysis with MatLab

Author | : William Menke,Joshua Ephraim Menke |

Publsiher | : Elsevier |

Total Pages | : 263 |

Release | : 2012 |

ISBN 10 | : 0123918863 |

ISBN 13 | : 9780123918864 |

Language | : EN, FR, DE, ES & NL |

**Environmental Data Analysis with MatLab Book Review:**

Environmental Data Analysis with MatLab is for students and researchers working to analyze real data sets in the environmental sciences. 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. This book 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. The book, though written in a self-contained way, is supplemented with data sets and MatLab scripts that can be used as a data analysis tutorial. Author's website: http://www.ldeo.columbia.edu/users/menke/edawm/index.htm 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

## Environmental Data Analysis

Author | : Zhihua Zhang |

Publsiher | : Walter de Gruyter GmbH & Co KG |

Total Pages | : 334 |

Release | : 2017-01-01 |

ISBN 10 | : 3110424908 |

ISBN 13 | : 9783110424904 |

Language | : EN, FR, DE, ES & NL |

**Environmental Data Analysis Book Review:**

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,Francesco Finazzi |

Publsiher | : Springer |

Total Pages | : 136 |

Release | : 2018-12-30 |

ISBN 10 | : 303001584X |

ISBN 13 | : 9783030015848 |

Language | : EN, FR, DE, ES & NL |

**Quantitative Methods in Environmental and Climate Research Book Review:**

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.

## Applied Statistics for Environmental Science with R

Author | : Abbas F. M. Al-Karkhi,Wasin A. A. Alqaraghuli |

Publsiher | : Elsevier |

Total Pages | : 240 |

Release | : 2019-09-13 |

ISBN 10 | : 0128186232 |

ISBN 13 | : 9780128186237 |

Language | : EN, FR, DE, ES & NL |

**Applied Statistics for Environmental Science with R Book Review:**

Applied Statistics for Environmental Science with R presents the theory and application of statistical techniques in environmental science and aids researchers in choosing the appropriate statistical technique for analyzing their data. Focusing on the use of univariate and multivariate statistical methods, this book acts as a step-by-step resource to facilitate understanding in the use of R statistical software for interpreting data in the field of environmental science. Researchers utilizing statistical analysis in environmental science and engineering will find this book to be essential in solving their day-to-day research problems. Includes step-by-step tutorials to aid in understanding the process and implementation of unique data Presents statistical theory in a simple way without complex mathematical proofs Shows how to analyze data using R software and provides R scripts for all examples and figures

## Quantitative Geosciences Data Analytics Geostatistics Reservoir Characterization and Modeling

Author | : Y. Z. Ma |

Publsiher | : Springer |

Total Pages | : 640 |

Release | : 2019-07-15 |

ISBN 10 | : 3030178609 |

ISBN 13 | : 9783030178604 |

Language | : EN, FR, DE, ES & NL |

**Quantitative Geosciences Data Analytics Geostatistics Reservoir Characterization and Modeling Book Review:**

Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.

## Sustainability Appraisal Quantitative Methods and Mathematical Techniques for Environmental Performance Evaluation

Author | : Marina G Erechtchoukova,Peter A Khaiter,Paulina Golinska |

Publsiher | : Springer Science & Business Media |

Total Pages | : 254 |

Release | : 2013-03-14 |

ISBN 10 | : 3642320813 |

ISBN 13 | : 9783642320811 |

Language | : EN, FR, DE, ES & NL |

**Sustainability Appraisal Quantitative Methods and Mathematical Techniques for Environmental Performance Evaluation Book Review:**

One of the most important issues in developing sustainable management strategies and incorporating ecodesigns in production, manufacturing and operations management is the assessment of the sustainability of business operations and organizations’ overall environmental performance. The book presents the results of recent studies on sustainability assessment. It provides a solid reference for researchers in academia and industrial practitioners on the state-of-the-art in sustainability appraisal including the development and application of sustainability indices, quantitative methods, models and frameworks for the evaluation of current and future welfare outcomes, recommendations on data collection and processing for the evaluation of organizations’ environmental performance, and eco-efficiency approaches leading to business process re-engineering.

## Analyzing Environmental Data

Author | : Walter W. Piegorsch,A. John Bailer |

Publsiher | : John Wiley & Sons |

Total Pages | : 512 |

Release | : 2005-03-04 |

ISBN 10 | : 9780470848364 |

ISBN 13 | : 0470848367 |

Language | : EN, FR, DE, ES & NL |

**Analyzing Environmental Data Book Review:**

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 |

Publsiher | : American Mathematical Soc. |

Total Pages | : 323 |

Release | : 2019-03-28 |

ISBN 10 | : 1470448696 |

ISBN 13 | : 9781470448691 |

Language | : EN, FR, DE, ES & NL |

**Modeling and Data Analysis An Introduction with Environmental Applications Book Review:**

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.

## Value of Information in the Earth Sciences

Author | : Anonim |

Publsiher | : Unknown |

Total Pages | : 329 |

Release | : 2021 |

ISBN 10 | : 1107040264 |

ISBN 13 | : 9781107040267 |

Language | : EN, FR, DE, ES & NL |

**Value of Information in the Earth Sciences Book Review:**

## Quantitative Analysis of Mineral and Energy Resources

Author | : C.F. Chung,Andrea G. Fabbri,R. Sinding-Larsen |

Publsiher | : Springer Science & Business Media |

Total Pages | : 738 |

Release | : 2012-12-06 |

ISBN 10 | : 9400940297 |

ISBN 13 | : 9789400940291 |

Language | : EN, FR, DE, ES & NL |

**Quantitative Analysis of Mineral and Energy Resources Book Review:**

This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena.

## Rediscovering Geography

Author | : Rediscovering Geography Committee,Commission on Geosciences, Environment and Resources,Division on Earth and Life Studies,National Research Council |

Publsiher | : National Academies Press |

Total Pages | : 241 |

Release | : 1997-04-11 |

ISBN 10 | : 0309577624 |

ISBN 13 | : 9780309577625 |

Language | : EN, FR, DE, ES & NL |

**Rediscovering Geography Book Review:**

As political, economic, and environmental issues increasingly spread across the globe, the science of geography is being rediscovered by scientists, policymakers, and educators alike. Geography has been made a core subject in U.S. schools, and scientists from a variety of disciplines are using analytical tools originally developed by geographers. Rediscovering Geography presents a broad overview of geography's renewed importance in a changing world. Through discussions and highlighted case studies, this book illustrates geography's impact on international trade, environmental change, population growth, information infrastructure, the condition of cities, the spread of AIDS, and much more. The committee examines some of the more significant tools for data collection, storage, analysis, and display, with examples of major contributions made by geographers. Rediscovering Geography provides a blueprint for the future of the discipline, recommending how to strengthen its intellectual and institutional foundation and meet the demand for geographic expertise among professionals and the public.

## Earth Resources

Author | : Anonim |

Publsiher | : Unknown |

Total Pages | : 329 |

Release | : 1986 |

ISBN 10 | : |

ISBN 13 | : UOM:39015023854758 |

Language | : EN, FR, DE, ES & NL |

**Earth Resources Book Review:**

## Qualitative Data Analysis

Author | : Matthew B. Miles,A. Michael Huberman |

Publsiher | : SAGE |

Total Pages | : 338 |

Release | : 1994-01-12 |

ISBN 10 | : 9780803955400 |

ISBN 13 | : 0803955405 |

Language | : EN, FR, DE, ES & NL |

**Qualitative Data Analysis Book Review:**

The latest edition of this best-selling textbook by Miles and Huberman not only is considerably expanded in content, but is now available in paperback. Bringing the art of qualitative analysis up-to-date, this edition adds hundreds of new techniques, ideas and references developed in the past decade. The increase in the use of computers in qualitative analysis is also reflected in this volume. There is an extensive appendix on criteria to choose from among the currently available analysis packages. Through examples from a host of social science and professional disciplines, Qualitative Data Analysis remains the most comprehensive and complete treatment of this topic currently available to scholars and applied researchers.

## Earth Resources

Author | : Anonim |

Publsiher | : Unknown |

Total Pages | : 329 |

Release | : 1986 |

ISBN 10 | : |

ISBN 13 | : STANFORD:36105012120106 |

Language | : EN, FR, DE, ES & NL |

**Earth Resources Book Review:**

A selection of annotated references to unclassified reports and journal articles that were introduced into the NASA scientific and technical information system and announced in Scientific and technical aerospace reports (STAR) and International Aerospace Abstracts (IAA).