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- Q91413124 description "artículu científicu espublizáu en payares de 2019" @default.
- Q91413124 description "im November 2019 veröffentlichter wissenschaftlicher Artikel" @default.
- Q91413124 description "scientific article published on 15 November 2019" @default.
- Q91413124 description "wetenschappelijk artikel" @default.
- Q91413124 description "наукова стаття, опублікована 15 листопада 2019" @default.
- Q91413124 name "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 name "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 type Item @default.
- Q91413124 label "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 label "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 prefLabel "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 prefLabel "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 P1433 Q91413124-57194C71-E0DB-4A27-8B6F-FEB689E1442A @default.
- Q91413124 P1476 Q91413124-3A54A713-CE95-4C14-88BD-6D25E7E40FBD @default.
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- Q91413124 P304 Q91413124-A5A44ED0-7269-443C-85F6-D32CDCCB8D51 @default.
- Q91413124 P31 Q91413124-9DF82B7E-C8D4-45F0-B9DF-1BAAB4B75368 @default.
- Q91413124 P356 Q91413124-D0E2F1F9-65AD-446B-A222-E88B4C75C29A @default.
- Q91413124 P478 Q91413124-A199F84B-40BB-48A4-A600-B6D89FCFA67F @default.
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- Q91413124 P698 Q91413124-9E6DB7F6-3AA5-4394-ADBA-A2D528D5CB19 @default.
- Q91413124 P921 Q91413124-3B2F247F-314C-413D-9DB1-F476933B3228 @default.
- Q91413124 P356 J.SCITOTENV.2019.135481 @default.
- Q91413124 P698 31759707 @default.
- Q91413124 P1433 Q15766357 @default.
- Q91413124 P1476 "The contributions of socioeconomic indicators to global PM2.5 based on the hybrid method of spatial econometric model and geographical and temporal weighted regression" @default.
- Q91413124 P2093 "Rui Li" @default.
- Q91413124 P2093 "Zhaoyang Fu" @default.
- Q91413124 P304 "135481" @default.
- Q91413124 P31 Q13442814 @default.
- Q91413124 P356 "10.1016/J.SCITOTENV.2019.135481" @default.
- Q91413124 P478 "703" @default.
- Q91413124 P577 "2019-11-15T00:00:00Z" @default.
- Q91413124 P698 "31759707" @default.
- Q91413124 P921 Q48035814 @default.