A Local Spatial Kriging Applied to the PM2.5 Concentration Estimation

Author:

Yao ShiqiORCID,Huang BoORCID

Publisher

Springer International Publishing

Reference17 articles.

1. Brookes, M., Bouganis, C.-S.: Statistical multiple light source detection. IET Compu. Vis. 1(2), 79–91 (2007)

2. Wong, N.S.et al.: PM2.5 concentration and elderly tuberculosis: analysis of spatial and temporal associations. Lancet 390, S68 (2017)

3. Zhan, Y., et al.: Satellite-based estimates of daily NO 2 exposure in China using hybrid random forest and spatiotemporal Kriging model. Environ. Sci. Technol. 52(7), 7 (2018)

4. Tang, M., Wu, X., Agrawal, P., Pongpaichet, S., JAIN, R.: Integration of diverse data sources for spatial PM2.5 data interpolation. IEEE Trans. Multimedia 19(2), 408–417 (2017)

5. Liang, F., Gao, M., Xiao, Q., Carmichael, G.R., Pan, X., Liu, Y.: Evaluation of a data fusion approach to estimate daily PM2.5 levels in North China. Environ. Res. 158, 54–60 (2017)

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