Introduction to Environmental Data Analysis and Modeling (Record no. 76150)

000 -LEADER
fixed length control field 03304nam a22006015i 4500
001 - CONTROL NUMBER
control field 978-3-030-36207-2
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220801214250.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 200103s2020 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783030362072
-- 978-3-030-36207-2
082 04 - CLASSIFICATION NUMBER
Call Number 620
100 1# - AUTHOR NAME
Author Emetere, Moses Eterigho.
245 10 - TITLE STATEMENT
Title Introduction to Environmental Data Analysis and Modeling
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2020.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 233 p. 144 illus., 138 illus. in color.
490 1# - SERIES STATEMENT
Series statement Lecture Notes in Networks and Systems,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Introduction to Environmental Modelling -- Introduction to Numerical Methods -- Introduction to Computational Techniques -- Big Data and Further Analysis -- Data Treatment -- Conclusion.
520 ## - SUMMARY, ETC.
Summary, etc 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.
700 1# - AUTHOR 2
Author 2 Akinlabi, Esther Titilayo.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-030-36207-2
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2020.
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-- text
-- txt
-- rdacontent
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-- computer
-- c
-- rdamedia
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-- online resource
-- cr
-- rdacarrier
347 ## -
-- text file
-- PDF
-- rda
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering mathematics.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering—Data processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big data.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Environmental sciences—Mathematics.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical and Computational Engineering Applications.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Big Data.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing .
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Mathematical Applications in Environmental Science.
700 1# - AUTHOR 2
-- (orcid)0000-0002-9680-5510
-- https://orcid.org/0000-0002-9680-5510
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 2367-3389 ;
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-- ZDB-2-ENG
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-- ZDB-2-SXE

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