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September 5, 2025Cahiers du Centre de Linguistique et des Sciences du Langage0 citations

On machine learning from environmental data

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MKMikhaïl Kanevski

Key Points

  • Machine learning techniques analyze geospatial data effectively, addressing complex environmental challenges.
  • Recent improvements in data visualization are linked to advancements in machine learning and its applications.
  • The research briefly discusses selected applications of machine learning in the geosciences field.
  • Addressing environmental data challenges shows the growing importance of machine learning in geospatial analysis.

Abstract

The application of machine learning (ML) algorithms for analyzing, modelling, and visualizing geospatial data has seen remarkable growth in recent years. Many ML techniques have proven to be both effective and efficient in addressing complex challenges within the geosciences. Selected topics on adaptation and application of ML to environmental data are briefly discussed in this research.

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Cite This Study

Mikhaïl Kanevski (2025) studied this question.

synapsesocial.com/papers/68bb3ef72b87ece8dc957827https://doi.org/10.26034/la.cdclsl.2025.8351
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