I needed to render temperature data from several sensors located in a large tank. Sensors distribution is really irregular. Moreover I have time series data and I would appreciate seeing how Temperature in the tank changes over time.

2 Problem. 1) Reliable interpolation 2) rendering over time

First I've tried with Paraview as animation over time was possible. Anyway the result from the Delaunay Interpolation (the only one possible in PV) was completely unreliable for this measurements configuration.

Hence, I decided to switch to SGeMS, Don't know if somebody here deals with it. I've created my own grid for the large tank. Of course grid resolution is higher than my spatial resolution of my measurement points. After several attempts It seems that I've found the more suitable variogram model for running Kriging. So I have the object 'Tank" and a lot of interpolations in the different time shots performed with the same algorithm.

Here the problem with SGeMS: Each interpolation (for different relative time) has is own color bar associated with the min/max values of the respective point set file. However, what I need, in order to compare the maps over time, is to apply the same scale bar to all interpolations. Does somebody know how to solve this problem in SGeMS?

Thanks in advance

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