Загрузка...
Bayesian geostatistical modelling of high-resolution [Formula: see text] exposure in Europe combining data from monitors, satellites and chemical transport models
Bayesian geostatistical regression (GR) models estimate air pollution exposure at high spatial resolution, quantify the prediction uncertainty and provide probabilistic inference on the exceedance of air quality thresholds. However, due to high computational burden, previous GR models have provided...
Сохранить в:
| Опубликовано в: : | Environ Int |
|---|---|
| Главные авторы: | , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier Science
2020
|
| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7152800/ https://ncbi.nlm.nih.gov/pubmed/32179313 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.envint.2020.105578 |
| Метки: |
Добавить метку
Нет меток, Требуется 1-ая метка записи!
|