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A Comparison of Spatial and Nonspatial Methods in Statistical Modeling of NO₂ : Prediction Accuracy, Uncertainty Quantification, and Model Interpretation

Title data

Lu, Meng ; Cavieres, Joaquin ; Moraga, Paula:
A Comparison of Spatial and Nonspatial Methods in Statistical Modeling of NO₂ : Prediction Accuracy, Uncertainty Quantification, and Model Interpretation.
In: Geographical Analysis. Vol. 55 (2023) Issue 4 . - pp. 703-727.
ISSN 1538-4632
DOI: https://doi.org/10.1111/gean.12356

Official URL: Volltext

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Biology, Chemistry and Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Juniorprofessur Geoinformatik - Spatial Big Data
Faculties > Faculty of Biology, Chemistry and Earth Sciences > Department of Earth Sciences > Juniorprofessur Geoinformatik - Spatial Big Data > Juniorprofessur Geoinformatik - Spatial Big Data - Juniorprof. Dr. Meng Lu
Research Institutions > Central research institutes > Research Center for AI in Science and Society
Research Institutions
Research Institutions > Central research institutes
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 550 Earth sciences, geology
Date Deposited: 11 Nov 2023 22:00
Last Modified: 06 Nov 2025 07:41
URI: https://eref.uni-bayreuth.de/id/eprint/87687