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

By: Emetere, Moses Eterigho., autor
Contributor(s): SpringerLink (Online service) | Akinlabi, Esther Titilayo., autor
Material type: materialTypeLabelE-bookSeries: (Lecture Notes in Networks and Systems, 2367-3370; 58).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: First edition.Description: 1 recurso en línea (X, 233 páginas) : 144 ilustraciones, 138 ilustraciones a color.ISBN: 9783030362072.Subject: Vigilancia ambientalOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)Digital Resources
Contents:
Introduction to Environmental Modelling -- Introduction to Numerical Methods -- Introduction to Computational Techniques -- Big Data and Further Analysis -- Data Treatment -- Conclusion.
In: Springer eBooksAbstract: 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.
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Holdings
Item type Current library Collection Call number Status Date due Barcode Item holds
LIBRO-E NO PRÉSTAMO LIBRO-E NO PRÉSTAMO Madrid Digital Acceso Electrónico (UEM) Ciencias e Ingeniería QH541.15.M64 2020 EB (Browse shelf(Opens below)) Acceso electrónico eBook28022078
Total holds: 0

Introduction to Environmental Modelling -- Introduction to Numerical Methods -- Introduction to Computational Techniques -- Big Data and Further Analysis -- Data Treatment -- Conclusion.

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.

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