Environmental Data Science
Cambridge University Press · United Kingdom · Est. 2022
Aims & Scope
Environmental Data Science is a new journal dedicated to the publication of high-quality research on the application of data science methods to environmental science. The journal aims to foster interdisciplinary collaboration and to provide a platform for researchers to share their work on environmental data analysis, modeling, and visualization. The journal covers a wide range of topics, including but not limited to: climate change, biodiversity, pollution, water resources, and sustainable development. The journal welcomes original research articles, review articles, and short communications.
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