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Evaluating machine learning models for air quality error mapping in Kraków, Poland Cover

Evaluating machine learning models for air quality error mapping in Kraków, Poland

Miscellanea Geographica
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By: Mateusz Zaręba,  Szymon Cogiel,  Elżbieta Węglińska and  Tomasz Danek  
Open Access
|Jan 2026

Authors

Mateusz Zaręba

zareba@agh.edu.pl

Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland

Szymon Cogiel

cogielszymon1@gmail.com

Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland

Elżbieta Węglińska

weglinska@agh.edu.pl

Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland

Tomasz Danek

tdanek@agh.edu.pl

Department of Geoinformatics and Applied Computer Science, Faculty of Geology, Geophysics and Environmental Protection, AGH University of Krakow, Krakow, Poland
DOI: https://doi.org/10.2478/mgrsd-2025-0026 | Journal eISSN: 2084-6118 | Journal ISSN: 0867-6046
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Language: English
Submitted on: Nov 4, 2024
|
Accepted on: Apr 10, 2025
|
Published on: Jan 14, 2026
Published by: Faculty of Geography and Regional Studies, University of Warsaw
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Machine learning,
artificial intelligence,
air pollution,
prediction errors,
spatial analysis
Related subjects:
Geosciences,
Geography,
Geosciences, other

© 2026 Mateusz Zaręba, Szymon Cogiel, Elżbieta Węglińska, Tomasz Danek, published by Faculty of Geography and Regional Studies, University of Warsaw
This work is licensed under the Creative Commons Attribution 4.0 License.

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