Ecological Informatics Data Management and Knowledge Discovery

Ecological Informatics Data Management and Knowledge Discovery / edited by Friedrich Recknagel, William K. Michener.

This book introduces readers to ecological informatics as an emerging discipline that takes into account the data-intensive nature of ecology, the valuable information to be found in ecological data, and the need to communicate results and inform decisions, including those related to research, conse...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Recknagel, Friedrich (Editor), Michener, William K. (Editor)
Format: eBook
Language:English
Published: Cham : Springer International Publishing : Imprint: Springer, 2018.
Edition:3rd ed. 2018.
Series:Springer eBook Collection.
Subjects:
Environmental management.
Ecology .
Environmental monitoring.
Data mining.
Database management.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Table of Contents:
  • Ecological Informatics: An Introduction
  • Project Data Management Planning
  • Scientific Databases for Environmental Research
  • Quality Assurance and Quality Control (QA/QC)
  • Creating and Managing Metadata
  • Preserve: Protecting Data for Long-term Use
  • Data Discovery
  • Data Integration: Principles and Practice
  • Inferential Modelling of Population Dynamics
  • Process-based Modeling of Nutrient Cycles and Food-web Dynamics
  • Uncertainty Analysis by Bayesian Inference
  • Multivariate Data Analysis by means of Self-organizing Maps
  • GIS-based Data Synthesis and Visualization
  • Communicating and Disseminating Research Findings
  • Operational Forecasting in Ecology by Inferential Models and Remote Sensing
  • Strategic Forecasting in Ecology by Inferential and Process-based Models
  • Biodiversity Informatics
  • Understanding Bioinvasion of Lake Champlain, U.S.A.
  • The Global Lake Ecological Observatory Network
  • Long-Term Ecological Research in the Nakdong River: Application of Ecological Informatics to Harmful Algal Blooms
  • Long-term Ecological Research in the English Lake District : From Ecological Informatics to the Generation of Ecological Knowledge.        .

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