Temporal Interpolation

Temporal interpolation is a method used to estimate values of data points between known, measured data at specific times. Imagine you have temperature readings at 9 AM and 11 AM but want to know the temperature at 10 AM. Temporal interpolation uses the known points to predict or estimate the values in between. It helps create a smoother, continuous picture of changes over time, which is useful in various fields like weather forecasting, video processing, and scientific data analysis. Essentially, it fills in the gaps between existing data points to better understand how things change over time.