Data Treatment in Environmental Sciences

Nonfiction, Science & Nature, Technology, Environmental, Science, Biological Sciences, Environmental Science
Cover of the book Data Treatment in Environmental Sciences by Valérie David, Elsevier Science
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Author: Valérie David ISBN: 9780081023464
Publisher: Elsevier Science Publication: May 25, 2017
Imprint: ISTE Press - Elsevier Language: English
Author: Valérie David
ISBN: 9780081023464
Publisher: Elsevier Science
Publication: May 25, 2017
Imprint: ISTE Press - Elsevier
Language: English

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).

  • Proposes tools that can be used to deal with environmental data
  • Insists on the adequacy between the scientific objectives and the types of analyses
  • Present mathematical principles without going into detail
  • Offers a wide range of important analyses
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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 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).

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