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Data science applied to environmental sciences

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  • Paulo Canas Rodrigues
  • Elisabetta Carfagna

Abstract

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.

Suggested Citation

  • Paulo Canas Rodrigues & Elisabetta Carfagna, 2023. "Data science applied to environmental sciences," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.
    • Handle: RePEc:wly:envmet:v:34:y:2023:i:1:n:e2783
    DOI: 10.1002/env.2783
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    References listed on IDEAS

    as
    1. Jessica Utts, 2021. "Enhancing Data Science Ethics Through Statistical Education and Practice," International Statistical Review, International Statistical Institute, vol. 89(1), pages 1-17, April.
    2. Duncan Lee & Chris Robertson & Colin Ramsay & Kate Pyper, 2020. "Quantifying the impact of the modifiable areal unit problem when estimating the health effects of air pollution," Environmetrics, John Wiley & Sons, Ltd., vol. 31(8), December.
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    Cited by:

    1. Andrew Zammit‐Mangion & Nathaniel K. Newlands & Wesley S. Burr, 2023. "Environmental data science: Part 1," Environmetrics, John Wiley & Sons, Ltd., vol. 34(1), February.

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