# 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

## 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.

## 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.

## 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.

## 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

## Value of Information in the Earth Sciences

Author | : Anonim |

Publsiher | : Anonim |

Total Pages | : 329 |

Release | : |

ISBN 10 | : 1107040264 |

ISBN 13 | : 9781107040267 |

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

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

## Hydroinformatics

Author | : Praveen Kumar,Mike Folk,Momcilo Markus,Jay C. Alameda |

Publsiher | : CRC Press |

Total Pages | : 552 |

Release | : 2005-11-02 |

ISBN 10 | : 1000611582 |

ISBN 13 | : 9781000611588 |

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

**Hydroinformatics Book Review:**

Modern hydrology is more interdisciplinary than ever. Staggering amounts and varieties of information pour in from GIS and remote sensing systems every day, and this information must be collected, interpreted, and shared efficiently. Hydroinformatics: Data Integrative Approaches in Computation, Analysis, and Modeling introduces the tools, approache

## 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

## 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

## Analyzing Environmental Data

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

Publsiher | : John Wiley & Sons |

Total Pages | : 512 |

Release | : 2005-06-10 |

ISBN 10 | : 0470012226 |

ISBN 13 | : 9780470012222 |

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.

## 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.

## Random Field Models in Earth Sciences

Author | : George Christakos |

Publsiher | : Courier Corporation |

Total Pages | : 512 |

Release | : 2012-08-09 |

ISBN 10 | : 0486160912 |

ISBN 13 | : 9780486160917 |

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

**Random Field Models in Earth Sciences Book Review:**

This text for graduate students examines problems related to earth and environmental sciences by means of theoretical models based on a purely random (stochastic) element. 103 figures. 16 tables.

## Precipitation Modeling and Quantitative Analysis

Author | : Xiaofan Li,Shouting Gao |

Publsiher | : Springer Science & Business Media |

Total Pages | : 240 |

Release | : 2011-11-03 |

ISBN 10 | : 9789400723818 |

ISBN 13 | : 9400723814 |

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

**Precipitation Modeling and Quantitative Analysis Book Review:**

The book examines surface rainfall processes through cloud-resolving modeling and quantitative analysis of surface rainfall budget and summarizes modeling and analysis results in recent seven years. The book shows validation of precipitation modeling against observations and derives a set of diagnostic precipitation equations. The book provides detailed discussions of the applications of precipitation equations to the examination of effects of sea surface temperature, vertical wind shear, radiation, and ice clouds on torrential rainfall processes in the tropics and mid-latitudes, and to the studies of sensitivity of precipitation modeling to uncertainty of the initial conditions and to the estimate of precipitation efficiency. The book can be used as a text book for graduate students and will be beneficial to researchers and forecasters for precipitation process studies and operational forecasts.

## 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

## Quantitative Geography

Author | : A Stewart Fotheringham,Chris Brunsdon,Martin Charlton |

Publsiher | : SAGE |

Total Pages | : 270 |

Release | : 2000-05-02 |

ISBN 10 | : 9780761959489 |

ISBN 13 | : 0761959483 |

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

**Quantitative Geography Book Review:**

Integrating a discussion of the application of quantitative methods with practical examples, this book explains the philosophy of the new quantitative methodologies and contrasts them with the methods associated with geography's `Quantitative Revolution' of the 1960s. Key issues discussed include: the nature of modern quantitative geography; spatial data; geographical information systems; visualization; local analysis; point pattern analysis; spatial regression; and statistical inference. Concluding with a review of models used in spatial theory, the authors discuss the current challenges to spatial data analysis. Written to be accessible, to communicate the diversity and excitement of recent thinking, Quantitative Geog

## Handbook of Mathematics and Statistics for the Environment

Author | : Frank R. Spellman,Nancy E. Whiting |

Publsiher | : CRC Press |

Total Pages | : 860 |

Release | : 2013-11-12 |

ISBN 10 | : 1466586389 |

ISBN 13 | : 9781466586383 |

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

**Handbook of Mathematics and Statistics for the Environment Book Review:**

A thorough revision of the previous "Environmental Engineer's Mathematics Handbook," this book offers readers an unusual approach to presenting environmental math concepts, emphasizing the relationship between the principles in natural processes and environmental processes. It integrates the fundamental math operations performed by environmental pr

## Environmental Modelling

Author | : John Wainwright,Mark Mulligan |

Publsiher | : John Wiley & Sons |

Total Pages | : 496 |

Release | : 2013-01-22 |

ISBN 10 | : 1118351487 |

ISBN 13 | : 9781118351482 |

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

**Environmental Modelling Book Review:**

Simulation models are an established method used to investigate processes and solve practical problems in a wide variety of disciplines. Central to the concept of this second edition is the idea that environmental systems are complex, open systems. The authors present the diversity of approaches to dealing with environmental complexity and then encourage readers to make comparisons between these approaches and between different disciplines. Environmental Modelling: Finding Simplicity in Complexity 2nd edition is divided into four main sections: An overview of methods and approaches to modelling. State of the art for modelling environmental processes Tools used and models for management Current and future developments. The second edition evolves from the first by providing additional emphasis and material for those students wishing to specialize in environmental modelling. This edition: Focuses on simplifying complex environmental systems. Reviews current software, tools and techniques for modelling. Gives practical examples from a wide variety of disciplines, e.g. climatology, ecology, hydrology, geomorphology and engineering. Has an associated website containing colour images, links to WWW resources and chapter support pages, including data sets relating to case studies, exercises and model animations. This book is suitable for final year undergraduates and postgraduates in environmental modelling, environmental science, civil engineering and biology who will already be familiar with the subject and are moving on to specialize in the field. It is also designed to appeal to professionals interested in the environmental sciences, including environmental consultants, government employees, civil engineers, geographers, ecologists, meteorologists, and geochemists.

## 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.

## Quantitative Geochemistry

Author | : Haibo Zou |

Publsiher | : Imperial College Press |

Total Pages | : 287 |

Release | : 2007 |

ISBN 10 | : 1860946461 |

ISBN 13 | : 9781860946462 |

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

**Quantitative Geochemistry Book Review:**

"This book presents quantitative treatments of a wide range of fundamental problems related to geochemistry and geology. It shows that trace elements, isotopes, and equations are integrative tools in modern geochemistry for studying various Earth processes." -- Back cover.

## Geomorphology and Environmental Impact Assessment

Author | : M. Marchetti,V. Rivas |

Publsiher | : CRC Press |

Total Pages | : 240 |

Release | : 2001-01-01 |

ISBN 10 | : 9789058093448 |

ISBN 13 | : 9058093441 |

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

**Geomorphology and Environmental Impact Assessment Book Review:**

This volume focuses on the close relationship between geomorphology and environmental impact assessment, and provides a wide-ranging overview of this topic. It includes several case studies covering a variety of environmental impacts derived from human activities (quarrying, communication infrastructure etc.) on different geomorphologic components (landforms, soil, landscapes etc.) and environments (glacial, fluvial, coastal etc.) The case studies presented offer a methodological guide from the most traditional geomorphological approaches through to the use of spatial data analysis and GIS tools and techniques. Environmental Impact Assessment is a relatively new scientific branch in which a wide variety of specialists are increasingly becoming involved. This volume will be of interest to geomorphologists, biologists, geographers, architects and engineers.