Modeling and Data Analysis: An Introduction with Environmental Applications
Modeling and Data Analysis: An Introduction with Environmental Applications

Author: John B. Little

Publisher: American Mathematical Soc.

Published: 2019-03-28

Total Pages: 342

ISBN-13: 1470448696

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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
Introduction to Environmental Data Analysis and Modeling

Author: Moses Eterigho Emetere

Publisher: Springer Nature

Published: 2020-01-03

Total Pages: 239

ISBN-13: 3030362078

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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 with MatLab
Environmental Data Analysis with MatLab

Author: William Menke

Publisher: Elsevier

Published: 2011-09-02

Total Pages: 282

ISBN-13: 0123918863

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"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 Data Analysis
Environmental Data Analysis

Author: Carsten Dormann

Publisher: Springer Nature

Published: 2020-12-20

Total Pages: 264

ISBN-13: 3030550206

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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.

Introduction to Environmental Modeling
Introduction to Environmental Modeling

Author: William G. Gray

Publisher: Cambridge University Press

Published: 2017

Total Pages: 449

ISBN-13: 1107571693

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This textbook presents the timeless basic physical and mathematical principles and philosophy of environmental modeling to students who need to be taught how to think in a different way than they would for more narrowly-defined engineering or physics problems. Examples come from a range of hydrologic, atmospheric, and geophysical problems.

Spatial Data Analysis in the Social and Environmental Sciences
Spatial Data Analysis in the Social and Environmental Sciences

Author: Robert P. Haining

Publisher: Cambridge University Press

Published: 1993-08-26

Total Pages: 436

ISBN-13: 9780521448666

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Within both the social and environmental sciences, much of the data collected is within a spatial context and requires statistical analysis for interpretation. The purpose of this book is to describe current methods for the analysis of spatial data. Methods described include data description, map interpolation, and exploratory and explanatory analyses. The book also examines spatial referencing, and methods for detecting problems, assessing their seriousness and taking appropriate action are discussed. This is an important text for any discipline requiring a broad overview of current theoretical and applied work for the analysis of spatial data sets. It will be of particular use to research workers and final year undergraduates in the fields of geography, environmental sciences and social sciences.

Environmental Statistics and Data Analysis
Environmental Statistics and Data Analysis

Author: Wayne R. Ott

Publisher: Routledge

Published: 2018-12-13

Total Pages: 336

ISBN-13: 1351450077

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This easy-to-understand introduction emphasizes the areas of probability theory and statistics that are important in environmental monitoring, data analysis, research, environmental field surveys, and environmental decision making. It communicates basic statistical theory with very little abstract mathematical notation, but without omitting importa

Dynamic Modeling of Environmental Systems
Dynamic Modeling of Environmental Systems

Author: Michael L. Deaton

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 210

ISBN-13: 1461213002

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A primer on modeling concepts and applications that is specifically geared toward the environmental field. Sections on modeling terminology, the uses of models, the model-building process, and the interpretation of output provide the foundation for detailed applications. After an introduction to the basics of dynamic modeling, the book leads students through an analysis of several environmental problems, including surface-water pollution, matter-cycling disruptions, and global warming. The scientific and technical context is provided for each problem, and the methods for analyzing and designing appropriate modeling approaches is provided. While the mathematical content does not exceed the level of a first-semester calculus course, the book gives students all of the background, examples, and practice exercises needed both to use and understand environmental modeling. It is suitable for upper-level undergraduate and beginning-graduate level environmental professionals seeking an introduction to modeling in their field.

Environmental Modeling and Health Risk Analysis (Acts/Risk)
Environmental Modeling and Health Risk Analysis (Acts/Risk)

Author: Mustafa Aral ARAL

Publisher: Springer Science & Business Media

Published: 2010-07-28

Total Pages: 478

ISBN-13: 9048186080

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Environmental Modeling and Health Risk Analysis (ACTS/RISK) The purpose of this book is to provide the reader with an integrated perspective on several ?elds. First, it discusses the ?elds of environmental modeling in general and multimedia (the term “multimedia” is used throughout the text to indicate that environmental transformation and transport processes are discussed in association with three environmental media: air, groundwater and surface water pathways) environmental transformation and transport processes in particular; it also provides a detailed description of numerous mechanistic models that are used in these ?elds. Second, this book presents a review of the topics of exposure and health risk analysis. The Analytical Contaminant Transport Analysis System (ACTS) and Health RISK Analysis (RISK) software tools are an integral part of the book and provide computational platforms for all the models discussed herein. The most recent versions of these two software tools can be downloaded from the publisher’s web site. The author recommends registering the software on the web download page so that users can receive updates about newer versions of the software.