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Über dieses Buch

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.

Inhaltsverzeichnis

Frontmatter

Chapter 1. Introduction to Environmental Modeling

Abstract
In this section, environmental modeling was defined in accordance to the various fields and branches of environmental modeling. The reason, aim and future relevance of environmental modeling were discussed. Sixty models relating to the main branches of environmental disciplines were discussed. The complexities of environmental models were examined with a case study—air pollution model. The relevance of the big data application in environmental modeling was highlighted with the aim of creating awareness of new techniques in environmental research.
Moses Eterigho Emetere, Esther Titilayo Akinlabi

Chapter 2. Numerical Methods

Abstract
The background to numerical modeling was introduced in-line with the concept of this book. The focus of this chapter is to introduce readers to the role of mathematics in furthering environmental research. Salient concepts of numerical methods were discussed with its peculiar pros and cons. Each of the highlighted numerical methods was elaborated with worked examples. The applications of numerical methods in environmental modeling were discussed with examples. Also, insightful counsels for beginner in the field were emphasized to guide against erroneous concept in applying numerical methods in environmental modeling.
Moses Eterigho Emetere, Esther Titilayo Akinlabi

Chapter 3. Introduction to Computational Techniques

Abstract
In this chapter, computational technique was defined and explained with respect to the practical application as required for environmental modeling. The technical terms, as well as the basic computer terminologies were explained. The types of computational techniques were highlighted to provide wide range of choices for professionals and beginners. The need for the use of closed and open access scientific packages was highlighted. The rules guiding the use of open source libraries in environmental modeling were highlighted.
Moses Eterigho Emetere, Esther Titilayo Akinlabi

Chapter 4. Modeling Big Data and Further Analysis

Abstract
The big data concept was introduced with the description and enumeration of online data sources. The importance of the big data was highlighted to help professionals and beginners to plan field work and research. The techniques that apply numerical methods to analyze huge dataset set were shown with adequate examples. The process of developing indigenous environmental model using computational techniques was explained with a C++ exercise.
Moses Eterigho Emetere, Esther Titilayo Akinlabi

Chapter 5. Data Treatment

Abstract
The rudimentary of data treatment was explained in this chapter. The difference between analogue and digital data was highlighted and explained. The methods for data treatment were described with examples. The different techniques for analyzing different types of data in environmental field work were illustrated. Special cases of data analysis in environmental studies were explained.
Moses Eterigho Emetere, Esther Titilayo Akinlabi

Chapter 6. Conclusions

Abstract
From the definition of environmental modeling, there is a lot to be known about the environment, its current challenges, sustainability and management.
Moses Eterigho Emetere, Esther Titilayo Akinlabi

Backmatter

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