I'm working on 2D time series data where two attributes are depth and temperature. When I plotted depth-vs-temp curve and saw its variation over time, the fluctuation occurs at few places only.
I'm not saying temperature is dependent on depth. But given these data, what should I look into to establish relationships between depth, temperature, time?
Look for depth regions where fluctuation in temperatures occurs over time. And develop time series prediction for these given regions.
What models/papers should I study to get insights out of the data? I want to understand and study what are the various methods that could be tested and visualizations built over these data. It's a data exploration problem.
Data shape: (2000,2,100) (samples,depth-temperature,time-sample) .i.e 2000 depth,temperature samples for each of 100 time stamps.