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Ecological Informatics

Overview of attention for book
Ecological Informatics
Springer International Publishing

Table of Contents

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    Book Overview
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    Chapter 1 Ecological Informatics: An Introduction
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    Chapter 2 Project Data Management Planning
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    Chapter 3 Scientific Databases for Environmental Research
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    Chapter 4 Quality Assurance and Quality Control (QA/QC)
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    Chapter 5 Creating and Managing Metadata
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    Chapter 6 Preserve: Protecting Data for Long-Term Use
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    Chapter 7 Data Discovery
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    Chapter 8 Data Integration: Principles and Practice
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    Chapter 9 Inferential Modelling of Population Dynamics
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    Chapter 10 Process-Based Modeling of Nutrient Cycles and Food-Web Dynamics
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    Chapter 11 Uncertainty Analysis by Bayesian Inference
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    Chapter 12 Multivariate Data Analysis by Means of Self-Organizing Maps
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    Chapter 13 GIS-Based Data Synthesis and Visualization
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    Chapter 14 Communicating and Disseminating Research Findings
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    Chapter 15 Operational Forecasting in Ecology by Inferential Models and Remote Sensing
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    Chapter 16 Strategic Forecasting in Ecology by Inferential and Process-Based Models
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    Chapter 17 Biodiversity Informatics
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    Chapter 18 Lessons from Bioinvasion of Lake Champlain, U.S.A.
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    Chapter 19 The Global Lake Ecological Observatory Network
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    Chapter 20 Long-Term Ecological Research in the Nakdong River: Application of Ecological Informatics to Harmful Algal Blooms
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    Chapter 21 From Ecological Informatics to the Generation of Ecological Knowledge: Long-Term Research in the English Lake District
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Title
Ecological Informatics
Published by
Springer International Publishing, January 2018
DOI 10.1007/978-3-319-59928-1
ISBNs
978-3-31-959926-7, 978-3-31-959928-1
Editors

Dr. Friedrich Recknagel, Prof. Dr. William K. Michener

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X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 66 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Ph. D. Student 8 12%
Student > Master 8 12%
Professor > Associate Professor 4 6%
Professor 3 5%
Other 13 20%
Unknown 14 21%
Readers by discipline Count As %
Environmental Science 12 18%
Agricultural and Biological Sciences 11 17%
Engineering 7 11%
Computer Science 6 9%
Earth and Planetary Sciences 3 5%
Other 7 11%
Unknown 20 30%