Open shenzekai opened 3 months ago
According to Wiki, “imputation” is the process of replacing missing data with substituted values; "interpolation" is a process of constructing new data points based on known data points. I think this is the reason why we call "time series imputation" and "spatial interpolation": each time series has its own historical recordings, we perform imputation to fill the missing parts; however, for a new location in space, we don't have any historical recordings/observations (no sensor is installed here), so we need to perform interpolation to infer the value of this new point.
Hope this helps.
OK, I think this explanation is perfect. BTW, your work SSIN is excellent. I summarized the SIGMOD 2023 papers related to spatial-temporal data and other conferences in Zhihu. Hope they are helpful to you. 时空数据顶会论文总结
Thanks for your work!
I just found out there is a typo in the SIGMOD 2023 时序&时空数据论文总结, Paper 12 is not mine, lol~
Thanks for your correction, this typo has been corrected now.
Hi, I found two papers about ST interpolation with codes. Maybe you can add them to your list.
Hi, I am researching the papers related to interpolation, and your GitHub is very helpful to me. I would like to ask what is the difference between interpolation and imputation? One is the spatial dimension and the other is the temporal dimension? Thank you.