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Nonlinear Theory of Elastic Plates

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Exterior Algebras

Elementary Tribute to Grassmann's Ideas

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From Pinch Methodology to Pinch-Exergy Integration of Flexible Systems

Thermodynamics Energy, Environment, Economy Set

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Data Treatment in Environmental Sciences

Multivaried Approach

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Gas Hydrates 1

Fundamentals, Characterization and Modeling

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Smart Decisions in Complex Systems

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Chi-squared Goodness-of-fit Tests for Censored Data

Stochastic Models in Survival Analysis and Reliability Set Volume 3

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Baidu SEO

Challenges and Intricacies of Marketing in China

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Supply Chain Management and Business Performance

The VASC Model

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Asymmetric Alliances and Information Systems

Issues and Prospects

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Data Treatment in Environmental Sciences

Multivaried Approach

Valérie David, University of Bordeaux, France

ISBN: 9781785482397

Publication Date: May 2017   Hardback   194 pp.

100.00 USD

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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 us 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).


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.

About the Authors

Valérie David is a lecturer and researcher at the University of Bordeaux in France.


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