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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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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: David, Valerie (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: London : ISTE Press, 2017.
Colección:Ecological sciences (ISTE Ltd.)
Temas:
Acceso en línea:Texto completo

MARC

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100 1 |a David, Valerie,  |e author. 
245 1 0 |a Data treatment in environmental sciences :  |b multivaried approach /  |c Val�erie David. 
260 |a London :  |b ISTE Press,  |c 2017. 
300 |a 1 online resource (195 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Ecological sciences 
504 |a Includes bibliographical references and index. 
588 0 |a Online resource, title from PDF title page (EBSCO, viewed June 7, 2017). 
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). 
505 0 |a 1. Observing and Preparing a Data Set; 2. Preliminary Treatment of the Data Set; 3. Structure as Groups of Objects/Variables; 4. Structure as Gradients of Objects/Variables; 5. Understanding a Structure. 
650 0 |a Environmental sciences  |x Research  |x Methodology. 
650 6 |a Sciences de l'environnement  |0 (CaQQLa)201-0097373  |x Recherche  |0 (CaQQLa)201-0380850  |x M�ethodologie.  |0 (CaQQLa)201-0380850 
650 7 |a SCIENCE  |x Environmental Science.  |2 bisacsh 
650 7 |a SCIENCE  |x Research & Methodology.  |2 bisacsh 
650 7 |a Environmental sciences  |x Research  |x Methodology.  |2 fast  |0 (OCoLC)fst00913508 
776 0 8 |i Print version:  |a David, Val�erie.  |t Data treatment in environmental sciences : multivaried approach.  |d London, England ; Oxford, England : ISTE Press ; Elsevier, �2017  |h xxix, 163 pages  |z 9781785482397 
830 0 |a Ecological sciences (ISTE Ltd.) 
856 4 0 |u https://sciencedirect.uam.elogim.com/science/book/9781785482397  |z Texto completo