at Google ScholarTitle 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: 
Further data
| Item Type: | Article in a journal |
|---|---|
| Refereed: | Yes |
| Institutions of the University: | 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 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 |
| Result of work at the UBT: | Yes |
| DDC Subjects: | 500 Science > 550 Earth sciences, geology |
| Date Deposited: | 11 Nov 2023 22:00 |
| Last Modified: | 13 Nov 2023 07:12 |
| URI: | https://eref.uni-bayreuth.de/id/eprint/87687 |