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Ecological Informatics

Ecological Informatics Data Management and Knowledge Discovery

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Ecological Informatics

Data Management and Knowledge Discovery

Friedrich Recknagel | William K. Michener

Technology & Engineering / Environmental / General

Content and structure are based on the data-life cycle

Provides examples of data life-cycle management in various sub-disciplines of ecology

Written by the leading experts in the field
Professor Friedrich Recknagel completed a Master degree in Computer Science before he received his PhD in Applied Limnology from Dresden University of Technology, Germany. He is currently Professor at the School of Biological Sciences of the University of Adelaide, Australia with a research focus on quantitative aquatic ecology by means of deterministic and inferential modelling. Over the past 20 years he has pioneered applications of artificial neural networks and evolutionary algorithms for modelling eutrophication processes and algal blooms in freshwaters. Since 2006 he is editor-in-chief of the journal Ecological Informatics published by Elsevier. His publication record includes 4 books and 122 journal articles resulting in 2885 citations with an h-index 29 and an i10-index of 62 (Google Scholar).


Publication Date: 14 August 2018
Publisher: Springer International Publishing
Imprint: Springer
ISBN-13: 9783319867373
Format: Paperback / softback
Page Count: 482

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