数据科学在环境科学中的应用

IF 1.5 3区环境科学与生态学 Q4 ENVIRONMENTAL SCIENCES

Environmetrics Pub Date : 2022-12-04 DOI:10.1002/env.2783

Paulo Canas Rodrigues, Elisabetta Carfagna

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引用次数: 1

摘要

近年来，产生了大量的数据，从传感器到购买交易记录、移动GPS信号、数字卫星图像和社交媒体。数据收集的增加带来了对具有数量意识的专业人员的需求，他们能够将数据转化为信息和决策。在这篇观点文章中，我们将分享我们对当今数据科学所扮演的一般角色的一些看法和经验，并对环境计量学领域特别感兴趣。我们将包括数量有限的例子，强调数据科学在环境计量学中的有用性，并具体说明2021年1月至12月巴西野火的行为。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Data science applied to environmental sciences

In recent years, immense amounts of data have been generated, from sensors to purchase transaction records, mobile GPS signals, digital satellite images, and social media. The raise of data collection has brought the need for quantitative minded professionals able to transform that data into information and decision making. In this opinion piece, we will share some of our views and experiences about the general role that data science plays nowadays, with a special interest in the field of environmetrics. We will include a limited number of examples that highlight the usefulness of data science in environmetrics, and a specific illustration of the behavior of the wildfires in Brazil between January and December of 2021.

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来源期刊

Environmetrics 环境科学-环境科学

CiteScore

2.90

自引率

17.60%

发文量

审稿时长

18-36 weeks

期刊介绍： Environmetrics, the official journal of The International Environmetrics Society (TIES), an Association of the International Statistical Institute, is devoted to the dissemination of high-quality quantitative research in the environmental sciences. The journal welcomes pertinent and innovative submissions from quantitative disciplines developing new statistical and mathematical techniques, methods, and theories that solve modern environmental problems. Articles must proffer substantive, new statistical or mathematical advances to answer important scientific questions in the environmental sciences, or must develop novel or enhanced statistical methodology with clear applications to environmental science. New methods should be illustrated with recent environmental data.