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020 _a9783030362072
024 7 _a10.1007/978-3-030-36207-2
_2doi
040 _aES-MaUEC
_bspa
_cES-MaUEC
_dES-MaUEC
050 4 _aQH541.15.M64
_b2020 EB
100 1 _aEmetere, Moses Eterigho.
_eautor
_4http://id.loc.gov/vocabulary/relators/aut
_9670519
245 1 0 _aIntroduction to Environmental Data Analysis and Modeling
_cby Moses Eterigho Emetere, Esther Titilayo Akinlabi
250 _aFirst edition
264 1 _aCham
_bSpringer International Publishing :
_bImprint: Springer
_c2020.
300 _a1 recurso en línea (X, 233 páginas)
_b144 ilustraciones, 138 ilustraciones a color
336 _2rdacontent
_aTexto
_btxt
337 _2rdamedia
_aelectrónico
_bc
338 _2rdacarrier
_arecurso electrónico
_bcr
347 _atext file
_bPDF
490 0 _aLecture Notes in Networks and Systems
_x2367-3370
_v58
505 0 _aIntroduction to Environmental Modelling -- Introduction to Numerical Methods -- Introduction to Computational Techniques -- Big Data and Further Analysis -- Data Treatment -- Conclusion.
520 3 _aThis 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.
988 _aPrimersemestre_2020_Engineering
650 7 _2embne
_9669174
_aVigilancia ambiental
700 1 _aAkinlabi, Esther Titilayo.
_eautor
_4http://id.loc.gov/vocabulary/relators/aut
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783030362065
776 0 8 _iPrinted edition:
_z9783030362089
776 0 8 _iPrinted edition:
_z9783030362096
856 4 0 _uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-36207-2
_zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942 _2lcc
_cLE
_n0
998 _b03/2020
_dz
_eb
_zSI