![]() ![]() ![]() But I think that's significantly better than an interpolation would be, because the data is fairly big. And importing that will take a bit of time - I spent around 30 minutes on a test machine. Now, the produced XYZ is going to be 2.7 GB, not much smaller than the original CSV. The XYZ dataport will adopt to the comma separator and it will skip the first row with the field names. Now, rename the resulting CSV to XYZ and import it as XYZ. SELECT, , FROM : Įxport the result as a CSV. Open the command window, run the following query: Rename the TXT to CSV, create a new MAP file, link the CSV. Instead of converting each record to a point and then performing interpolation on the points, it would be much better to just convert the file as XYZ and import it as XYZ, so that the XYZ dataport detects a grid and creates a raster accordingly. There are many fields, one of them ELEV that we want to use as Z.
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