Hello, I am currently using NetSpot and need to export measurement data from my radio map for post-processing. Specifically, I am looking to extract RSSI and SINR values for the entire map area in a CSV format with a regular grid resolution (e.g., 64×64 or 128×128 points).
Could you please clarify the following:
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Does NetSpot support exporting data as a uniform grid rather than just raw survey points?
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If yes, how can I configure the specific grid resolution for the export?
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What are the steps to include both RSSI and SINR metrics in a single export file?
If this is not natively supported, I would appreciate any recommendations on workarounds, such as utilizing an API or scripting.
As far as I know, NetSpot can export survey/report data to CSV, but I don’t think it gives you a “radio map raster” CSV at an arbitrary 64×64 or 128×128 resolution. That’s a pretty specific research/ML-style export. Most Wi-Fi survey tools expose survey points, AP/network data, and reports, not a normalized grid over the whole map. So if you need a regular grid, I’d plan on exporting whatever CSV data NetSpot gives you and then doing your own interpolation.
NetSpot doesn’t have a metric called SINR. It only shows SNR, SIR, Signal Level, and Noise Level (depending on your platform). Since SINR isn’t a standard field in NetSpot, you can’t just export it. In RF math, SNR or SIR are not the same as SINR. For academic work, it’s best to use the exact names from NetSpot and not rename SIR to SINR.
Since NetSpot doesn’t expose its interpolation algorithms, you have to do the heavy lifting yourself. Export the raw data, open Python, and use scipy.interpolate (like RBF or Kriging) to map your chaotic raw (X, Y) coordinates onto a clean 128 × 128 meshgrid.