Literature review on Spatial interpolation

https://paperswithcode.com/task/air-pollution-prediction
1. Kim, E., Nam, S., Ahn, C., Lee, S., Koo, J. and Hwang, T., 2022. Comparison of spatial interpolation methods for distribution map an unmanned surface vehicle data for chlorophyll-a monitoring in the stream. Environmental Technology & Innovation, [online] 28, p.102637. Available at: https://doi.org/10.1016/j.eti.2022.102637.
2. Choi, H., Kim, H., Yeom, S., Hong, T., Jeong, K. and Lee, J., 2022. An indoor environmental quality distribution map based on spatial interpolation methods. Building and Environment, [online] 213, p.108880. Available at: https://doi.org/10.1016/j.buildenv.2022.108880.
3. Wang, S., Huang, G., Lin, Q., Li, Z., Zhang, H. and Fan, Y., 2014. Comparison of interpolation methods for estimating spatial distribution of precipitation in Ontario, Canada. International Journal of Climatology, [online] 34(14), pp.3745-3751. Available at: https://doi.org/10.1002/joc.3941.

Summary https://docs.google.com/document/d/1TSbv21XPdD4chV1YVvc6Nzt_jUpoi1cWfR1GEAqXoS0/edit?usp=sharing

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