Spatio-temporal modelling of the influence of climatic variables and seasonal variation on PM10 in Malaysia using multivariate regression (MVR) and GIS
In an era of rapidly changing climate, investigating the impacts of climate parameters on major air pollutants such as Particulate matter (PM10) is imperative to mitigate its adverse effect. This study utilizes Geographic Information System (GIS), a multivariate regression model (MVR) and Pearson co...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2021-01-01
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| Series: | Geomatics, Natural Hazards & Risk |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1080/19475705.2021.1879942 |