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Springer - Ecological Informatics: Data Management Book

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Description

Explore the emerging field of ecological informatics with this comprehensive text from Springer. This book addresses the data-intensive nature of modern ecology, offering a deep look into how valuable information can be extracted from complex ecological datasets. It provides a framework for managing data and discovering knowledge to support research, conservation, and resource management decisions. By combining developments in information technology with ecological theory, the text offers practical applications to aid ecological research. Readers will learn how to facilitate the dissemination of results to both the scientific community and the general public. This book serves as a guide for those looking to bridge the gap between data science and environmental science, ensuring that ecological findings are communicated effectively to inform real-world management and policy.

Key Features

Explores the intersection of information technology and ecological theory to support modern research needs.

Provides methods for managing data-intensive ecological datasets to find valuable scientific information.

Supports decision-making processes related to conservation and resource management through better data use.

Offers frameworks for communicating research results to both scientists and the general public.

Introduces the discipline of ecological informatics as a way to handle large-scale environmental data.

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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