Before revision: Given the common problem of missing data in real-world applications from various fields , such as remote sensing, ecology and meteorology, the interpolation of missing spatial and spatio-temporal datacan be of tremendous value .
After revision: Given the common problem of missing data in real-world applications from various fields , such as forecasting weather from only a few measurements of meteorological or remote sensing data .