Modeling And Data Analysis An Introduction With Environmental Applications

Modeling And Data Analysis An Introduction With Environmental Applications Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Modeling And Data Analysis An Introduction With Environmental Applications book. This book definitely worth reading, it is an incredibly well-written.

Modeling and Data Analysis: An Introduction with Environmental Applications

John B. Little
Modeling and Data Analysis An Introduction with Environmental Applications Book PDF

Author : John B. Little
Publisher : American Mathematical Soc.
Page : 323 pages
File Size : 49,8 Mb
Release : 2019-03-28
Category : Environmental sciences
ISBN : 9781470448691

Get Book

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

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.

Introduction to Environmental Data Analysis and Modeling

Moses Eterigho Emetere,Esther Titilayo Akinlabi
Introduction to Environmental Data Analysis and Modeling Book PDF

Author : Moses Eterigho Emetere,Esther Titilayo Akinlabi
Publisher : Springer Nature
Page : 239 pages
File Size : 54,5 Mb
Release : 2020-01-03
Category : Technology & Engineering
ISBN : 9783030362072

Get Book

Introduction to Environmental Data Analysis and Modeling by Moses Eterigho Emetere,Esther Titilayo Akinlabi Pdf

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.

Environmental Data Analysis

Zhihua Zhang
Environmental Data Analysis Book PDF

Author : Zhihua Zhang
Publisher : Walter de Gruyter GmbH & Co KG
Page : 334 pages
File Size : 41,9 Mb
Release : 2016-11-21
Category : Mathematics
ISBN : 9783110424904

Get Book

Environmental Data Analysis by Zhihua Zhang Pdf

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

Introduction to Environmental Data Science

Jerry Davis
Introduction to Environmental Data Science Book PDF

Author : Jerry Davis
Publisher : CRC Press
Page : 492 pages
File Size : 52,7 Mb
Release : 2023-03-13
Category : Business & Economics
ISBN : 9781000842418

Get Book

Introduction to Environmental Data Science by Jerry Davis Pdf

Introduction to Environmental Data Science focuses on data science methods in the R language applied to environmental research, with sections on exploratory data analysis in R including data abstraction, transformation, and visualization; spatial data analysis in vector and raster models; statistics and modelling ranging from exploratory to modelling, considering confirmatory statistics and extending to machine learning models; time series analysis, focusing especially on carbon and micrometeorological flux; and communication. Introduction to Environmental Data Science is an ideal textbook to teach undergraduate to graduate level students in environmental science, environmental studies, geography, earth science, and biology, but can also serve as a reference for environmental professionals working in consulting, NGOs, and government agencies at the local, state, federal, and international levels. Features • Gives thorough consideration of the needs for environmental research in both spatial and temporal domains. • Features examples of applications involving field-collected data ranging from individual observations to data logging. • Includes examples also of applications involving government and NGO sources, ranging from satellite imagery to environmental data collected by regulators such as EPA. • Contains class-tested exercises in all chapters other than case studies. Solutions manual available for instructors. • All examples and exercises make use of a GitHub package for functions and especially data.

Models for Ecological Data

James S. Clark
Models for Ecological Data Book PDF

Author : James S. Clark
Publisher : Princeton University Press
Page : 634 pages
File Size : 46,8 Mb
Release : 2020-10-06
Category : Science
ISBN : 9780691220123

Get Book

Models for Ecological Data by James S. Clark Pdf

The environmental sciences are undergoing a revolution in the use of models and data. Facing ecological data sets of unprecedented size and complexity, environmental scientists are struggling to understand and exploit powerful new statistical tools for making sense of ecological processes. In Models for Ecological Data, James Clark introduces ecologists to these modern methods in modeling and computation. Assuming only basic courses in calculus and statistics, the text introduces readers to basic maximum likelihood and then works up to more advanced topics in Bayesian modeling and computation. Clark covers both classical statistical approaches and powerful new computational tools and describes how complexity can motivate a shift from classical to Bayesian methods. Through an available lab manual, the book introduces readers to the practical work of data modeling and computation in the language R. Based on a successful course at Duke University and National Science Foundation-funded institutes on hierarchical modeling, Models for Ecological Data will enable ecologists and other environmental scientists to develop useful models that make sense of ecological data. Consistent treatment from classical to modern Bayes Underlying distribution theory to algorithm development Many examples and applications Does not assume statistical background Extensive supporting appendixes Lab manual in R is available separately

Quantitative Analysis and Modeling of Earth and Environmental Data

Jiaping Wu,Junyu He,George Christakos
Quantitative Analysis and Modeling of Earth and Environmental Data Book PDF

Author : Jiaping Wu,Junyu He,George Christakos
Publisher : Elsevier
Page : 504 pages
File Size : 50,9 Mb
Release : 2021-12-04
Category : Science
ISBN : 9780128163429

Get Book

Quantitative Analysis and Modeling of Earth and Environmental Data by Jiaping Wu,Junyu He,George Christakos Pdf

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

Analyzing Environmental Data

Walter W. Piegorsch,A. John Bailer
Analyzing Environmental Data Book PDF

Author : Walter W. Piegorsch,A. John Bailer
Publisher : John Wiley & Sons
Page : 520 pages
File Size : 54,7 Mb
Release : 2005-03-04
Category : Mathematics
ISBN : 0470848367

Get Book

Analyzing Environmental Data by Walter W. Piegorsch,A. John Bailer Pdf

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.

Environmental Data Analysis

Carsten Dormann
Environmental Data Analysis Book PDF

Author : Carsten Dormann
Publisher : Springer Nature
Page : 264 pages
File Size : 47,8 Mb
Release : 2020-12-20
Category : Medical
ISBN : 9783030550202

Get Book

Environmental Data Analysis by Carsten Dormann Pdf

Environmental Data Analysis is an introductory statistics textbook for environmental science. It covers descriptive, inferential and predictive statistics, centred on the Generalized Linear Model. The key idea behind this book is to approach statistical analyses from the perspective of maximum likelihood, essentially treating most analyses as (multiple) regression problems. The reader will be introduced to statistical distributions early on, and will learn to deploy models suitable for the data at hand, which in environmental science are often not normally distributed. To make the initially steep learning curve more manageable, each statistical chapter is followed by a walk-through in a corresponding R-based how-to chapter, which reviews the theory and applies it to environmental data. In this way, a coherent and expandable foundation in parametric statistics is laid, which can be expanded in advanced courses.The content has been “field-tested” in several years of courses on statistics for Environmental Science, Geography and Forestry taught at the University of Freiburg.

Environmental Data Analysis with MatLab

William Menke,Joshua Menke
Environmental Data Analysis with MatLab Book PDF

Author : William Menke,Joshua Menke
Publisher : Elsevier
Page : 282 pages
File Size : 40,8 Mb
Release : 2011-09-02
Category : Computers
ISBN : 9780123918864

Get Book

Environmental Data Analysis with MatLab by William Menke,Joshua Menke Pdf

"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. It is well written and outlines a clear learning path for researchers and students. It uses real world environmental examples and case studies. It has 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 Applications of Geochemical Modeling

Chen Zhu,Gregor Munro Anderson
Environmental Applications of Geochemical Modeling Book PDF

Author : Chen Zhu,Gregor Munro Anderson
Publisher : Cambridge University Press
Page : 302 pages
File Size : 52,9 Mb
Release : 2002-05-13
Category : Science
ISBN : 0521005779

Get Book

Environmental Applications of Geochemical Modeling by Chen Zhu,Gregor Munro Anderson Pdf

An application of geochemical modeling to environmental problems, illustrated with case studies of real-world environmental investigations.

GIS for Environmental Applications

Xuan Zhu
GIS for Environmental Applications Book PDF

Author : Xuan Zhu
Publisher : Routledge
Page : 491 pages
File Size : 54,8 Mb
Release : 2016-05-26
Category : Science
ISBN : 9781134094431

Get Book

GIS for Environmental Applications by Xuan Zhu Pdf

GIS for Environmental Applications provides a practical introduction to the principles, methods, techniques and tools in GIS for spatial data management, analysis, modelling and visualisation, and their applications in environmental problem solving and decision making. It covers the fundamental concepts, principles and techniques in spatial data, spatial data management, spatial analysis and modelling, spatial visualisation, spatial interpolation, spatial statistics, and remote sensing data analysis, as well as demonstrates the typical environmental applications of GIS, including terrain analysis, hydrological modelling, land use analysis and modelling, ecological modelling, and ecosystem service valuation. Case studies are used in the text to contextualise these subjects in the real world, examples and detailed tutorials are provided in each chapter to show how the GIS techniques and tools introduced in the chapter can be implemented using ESRI ArcGIS (a popular GIS software system for environmental applications) and other third party extensions to ArcGIS to address. The emphasis is placed on how to apply or implement the concepts and techniques of GIS through illustrative examples with step-by-step instructions and numerous annotated screen shots. The features include: Over 350 figures and tables illustrating how to apply or implement the concepts and techniques of GIS Learning objectives along with the end-of-chapter review questions Authoritative references at the end of each chapter GIS data files for all examples as well as PowerPoint presentations for each chapter downloadable from the companion website. GIS for Environmental Applications weaves theory and practice together, assimilates the most current GIS knowledge and tools relevant to environmental research, management and planning, and provides step-by-step tutorials with practical applications. This volume will be an indispensable resource for any students taking a module on GIS for the environment.

Environmental Modelling

Jo Smith,Pete Smith
Environmental Modelling Book PDF

Author : Jo Smith,Pete Smith
Publisher : Oxford University Press
Page : 192 pages
File Size : 48,5 Mb
Release : 2007-01-18
Category : Science
ISBN : 9780199272068

Get Book

Environmental Modelling by Jo Smith,Pete Smith Pdf

The global environment is a complex mix of interlinked processes, about which observation can tell us a great deal. This book shows how modelling can be used to explain experimental observations, and how these observations - and data gathered - can be extrapolated to explain novel situations. It also illustrates how models are actively applied.

Environmental Studies

Mary F. Wheeler
Environmental Studies Book PDF

Author : Mary F. Wheeler
Publisher : Springer Science & Business Media
Page : 406 pages
File Size : 51,9 Mb
Release : 2012-12-06
Category : Mathematics
ISBN : 9781461384922

Get Book

Environmental Studies by Mary F. Wheeler Pdf

Environmental protection has become a universal issue with world-wide support. Environmental studies have now bridged the realms of academic research and societal applications. Mathematical modeling and large-scale data collection and analysis lie at the core of all environmental studies. Unfortunately, scientists, mathematicians, and engineers immersed in developing and applying environmental models, computational methods, statistical techniques and computational hardware advance with separate and often discordant paces. The volume is based on recent research designed to provide a much needed interdisciplinary forum for joint exploration of recent advances in this field.

Environmental Statistics

Vic Barnett
Environmental Statistics Book PDF

Author : Vic Barnett
Publisher : John Wiley & Sons
Page : 316 pages
File Size : 52,6 Mb
Release : 2005-12-13
Category : Mathematics
ISBN : 9780470026977

Get Book

Environmental Statistics by Vic Barnett Pdf

In modern society, we are ever more aware of the environmental issues we face, whether these relate to global warming, depletion of rivers and oceans, despoliation of forests, pollution of land, poor air quality, environmental health issues, etc. At the most fundamental level it is necessary to monitor what is happening in the environment – collecting data to describe the changing scene. More importantly, it is crucial to formally describe the environment with sound and validated models, and to analyse and interpret the data we obtain in order to take action. Environmental Statistics provides a broad overview of the statistical methodology used in the study of the environment, written in an accessible style by a leading authority on the subject. It serves as both a textbook for students of environmental statistics, as well as a comprehensive source of reference for anyone working in statistical investigation of environmental issues. Provides broad coverage of the methodology used in the statistical investigation of environmental issues. Covers a wide range of key topics, including sampling, methods for extreme data, outliers and robustness, relationship models and methods, time series, spatial analysis, and environmental standards. Includes many detailed practical and worked examples that illustrate the applications of statistical methods in environmental issues. Authored by a leading authority on environmental statistics.

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

Shahab Araghinejad
Data Driven Modeling Using MATLAB in Water Resources and Environmental Engineering Book PDF

Author : Shahab Araghinejad
Publisher : Springer Science & Business Media
Page : 299 pages
File Size : 49,8 Mb
Release : 2013-11-26
Category : Science
ISBN : 9789400775060

Get Book

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by Shahab Araghinejad Pdf

“Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.