Conversion of surface CH4 concentrations from GOSAT satellite observations using XGBoost algorithm

Y Wan, F Chen, L Fan, D Sun, H He, Y Dai, L Li… - Atmospheric …, 2023 - Elsevier
Abstract Methane (CH4), the second most significant greenhouse gas after carbon dioxide,
contributes significantly to global warming. Owing to its wide monitoring range and long …

Robust geographically weighted regression of modeling the Air Polluter Standard Index (APSI)

B Warsito, H Yasin, D Ispriyanti… - Journal of Physics …, 2018 - iopscience.iop.org
Abstract The Geographically Weighted Regression (GWR) model has been widely applied
to many practical fields for exploring spatial heterogenity of a regression model. However …

[PDF][PDF] Hasil Review Artikel Prosiding Internasional C23: Modeling of Air Polluter NO2 and SO2 using Geographically Weighted Multivariate Regressions (GWMR)

H Yasin - 2019 - eprints.undip.ac.id
Air pollution is one of the most concerned problems on earth today. It is closely related with
and mostly generated from the transportation and industrialization sectors, as well as from …

Modeling of Air Polluter NO2 and SO2 Using Geographically Weighted Multivariate Regressions (GWMR)

H Yasin, D Ispriyanti, A Hoyyi - Advanced Science Letters, 2017 - ingentaconnect.com
Air pollution is one of the most concerned problems on earth today. It is closely related with
and mostly generated from the transportation and industrialization sectors, as well as from …