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Introduction to Environmental Data Analysis and Modeling [electronic resource] / by Moses Eterigho Emetere, Esther Titilayo Akinlabi.

By: Emetere, Moses Eterigho [author.].
Contributor(s): Akinlabi, Esther Titilayo [author.] | SpringerLink (Online service).
Material type: materialTypeLabelBookSeries: Lecture Notes in Networks and Systems: 58Publisher: Cham : Springer International Publishing : Imprint: Springer, 2020Edition: 1st ed. 2020.Description: X, 233 p. 144 illus., 138 illus. in color. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783030362072.Subject(s): Engineering mathematics | Engineering—Data processing | Big data | Signal processing | Environmental sciences—Mathematics | Mathematical and Computational Engineering Applications | Big Data | Signal, Speech and Image Processing | Mathematical Applications in Environmental ScienceAdditional physical formats: Printed edition:: No title; Printed edition:: No title; Printed edition:: No titleDDC classification: 620 Online resources: Click here to access online
Contents:
Introduction to Environmental Modelling -- Introduction to Numerical Methods -- Introduction to Computational Techniques -- Big Data and Further Analysis -- Data Treatment -- Conclusion.
In: Springer Nature eBookSummary: 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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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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