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Springer Ecological Informatics: Data Management & Knowledge Discovery

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Description

Ecological Informatics by Springer introduces the emerging discipline of ecological informatics, which combines information technology with ecological theory to address the data-intensive nature of modern ecology. This comprehensive guide explores how to extract valuable information from ecological datasets and communicate findings effectively to researchers, conservationists and resource managers. The book bridges the gap between advanced computational methods and practical ecological applications, offering frameworks and techniques for managing large-scale environmental data. Whether you are conducting ecological research, working in conservation planning or involved in resource management decisions, this work provides essential knowledge for leveraging data analytics and knowledge discovery tools in ecological contexts. Ideal for scientists, researchers and professionals seeking to understand how informatics transforms ecological research and informs critical environmental decisions.

Key Features

Springer publishes this comprehensive text on ecological informatics combined with data management practices for environmental research.

The book integrates information technology developments with ecological theory to support research and conservation outcomes.

Ecological data mining and knowledge discovery techniques are explained for extracting insights from complex environmental datasets.

Content addresses research dissemination and decision-making applications across conservation and resource management fields.

Framework links computational methods with practical ecological applications for scientists and policy professionals.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
06 October 2017
Listed Since
27 April 2017

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No barcode data available

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