Data treatment in environmental sciences : multivaried approach

Data Treatment in Environmental Sciences presents the various methods used in the analysis of databases-obtained in the field or in a laboratory-by focusing on the most commonly used multivariate analyses in different disciplines of environmental sciences, from geochemistry to ecology. The book exam...

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Bibliographic Details
Main Author: David, Valerie, (Author)
Format: eBook
Language: English
Published: London : ISTE Press, 2017.
Series: Ecological sciences (ISTE Ltd.)
Subjects:
ISBN: 9780081023464
9781785482397
Physical Description: 1 online zdroj.

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020 |a 9780081023464  |q (ebook) 
020 |z 9781785482397 
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072 7 |a 502  |x Životní prostředí a jeho ochrana  |2 Konspekt  |9 2 
080 |a 502/504  |2 MRF 
080 |a 519.254  |2 MRF 
080 |a 001.891  |2 MRF 
080 |a (035)  |2 MRF 
080 |a (0.034.2:08)  |2 MRF 
100 1 |a David, Valerie,  |e author. 
245 1 0 |a Data treatment in environmental sciences :  |b multivaried approach /  |c Valérie David. 
260 |a London :  |b ISTE Press,  |c 2017. 
300 |a 1 online zdroj. 
336 |a text  |b txt  |2 rdacontent 
337 |a počítač  |b c  |2 rdamedia 
338 |a online zdroj  |b cr  |2 rdacarrier 
490 1 |a Ecological sciences 
504 |a Obsahuje bibliografické odkazy a index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty univerzity 
520 |a Data Treatment in Environmental Sciences presents the various methods used in the analysis of databases-obtained in the field or in a laboratory-by focusing on the most commonly used multivariate analyses in different disciplines of environmental sciences, from geochemistry to ecology. The book examines the principles, application conditions and implementation (in R software) of various analyses before interpreting them. The wide variety of analyses presented allows users to treat datasets, both large and small, which are often limited in terms of available processing techniques. The approach taken by the author details (i) the preparation of a dataset prior to analysis, in relation to the scientific strategy and objectives of the study, (ii) the preliminary treatment of datasets, (iii) the establishment of a structure of objects (stations/dates) or relevant variables (e.g. physicochemical, biological), and (iv) how to highlight the explanatory parameters of these structures (e.g. how the physico-chemistry influences the biological structure obtained). - Resumé vydavatel 
588 0 |a Online resource, title from PDF title page (EBSCO, viewed June 7, 2017). 
590 |a Elsevier  |b ScienceDirect All Books 
650 0 7 |a nauka o životním prostředí  |7 ph123177  |2 czenas 
650 0 7 |a zpracování dat  |7 ph127675  |2 czenas 
650 0 7 |a vědecký výzkum  |7 ph116680  |2 czenas 
650 0 9 |a environmental science  |2 eczenas 
650 0 9 |a data processing  |2 eczenas 
650 0 9 |a scientific research  |2 eczenas 
655 7 |a příručky  |7 fd133209  |2 czenas 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a handbooks and manuals  |2 eczenas 
655 9 |a electronic books  |2 eczenas 
776 0 8 |i Print version:  |a David, Valérie.  |t Data treatment in environmental sciences : multivaried approach.  |d London, England ; Oxford, England : ISTE Press ; Elsevier, ©2017  |h xxix, 163 stran  |z 9781785482397 
830 0 |a Ecological sciences (ISTE Ltd.) 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://www.sciencedirect.com/science/book/9781785482397  |y Plný text 
942 |2 udc 
992 |c EBOOK-TN  |c ELSEVIER 
993 |x NEPOSILAT  |y EIZ