Numerical Methods in Environmental Data Analysis

Moses Eterigho Emetere

• Publisher: Elsevier
• Year: 2022
• Print ISBN: 9780128189719
• eBook ISBN: 9780128189726
• Topic: Biological Sciences
• Subtopic: Business Intelligence
• Index: Biological Sciences

Numerical Methods in Environmental Data Analysis introduces environmental scientists to the numerical methods available to help answer research questions through data analysis. One challenge in data analysis is misrepresentation of datasets that are relevant directly or indirectly to the research. This book illustrates new ways of screening dataset or images for maximum utilization, introducing environmental modeling, numerical methods, and computations techniques in data analysis. Throughout the book, the author includes case studies that provide guidance on how to translate research questions into appropriate models.Individuals working with data sets or images generated from environmental monitoring centers or satellites will find this book to be a concise guide for analyzing and interpreting their data.- Bridges the theoretical underpinnings of modeling to research- Illustrates the computational resolution of environmental issues alongside the use of open-source software- Provides information on the use of analogue versus digital data treatment processes

Table of contents

• Title of Book
• Cover image
• Title page
• Table of Contents
• Copyright
• Preface
• Chapter 1 Overview on data treatment
• Chapter 2 Case study in environmental pollution research
• Chapter 3 Typical environmental challenges
• Chapter 4 Generating environmental data: Progress and shortcoming
• Chapter 5 Root finding technique in environmental research
• Chapter 6 Numerical differential analysis in environmental research
• Chapter 7 Numerical integration application to environmental data
• Chapter 8 Numerical interpolation in environmental research
• Chapter 9 Environmental/atmospheric numerical models formulations: model review
• Index