Environmental data science is used to solve environmental problems, and to help answer complex questions about biodiversity loss, climate change, and water scarcity, among others thereby allowing sustainable decision-making using data-driven approaches. In this opinion piece, I describe some recent Latin American experiences in the data science community, and what is needed for environmental data scientists to take advantage of those experiences. Specifically, I show the importance of being part of a diverse and local data science community.

中文翻译：

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拉丁美洲环境数据科学与 R 社区的交集

环境数据科学用于解决环境问题，并帮助回答有关生物多样性丧失、气候变化和水资源短缺等复杂问题，从而允许使用数据驱动的方法进行可持续决策。在这篇评论文章中，我描述了拉丁美洲最近在数据科学界的一些经验，以及环境数据科学家需要什么才能利用这些经验。具体来说，我展示了成为多元化和本地数据科学社区的一部分的重要性。