Hi @pisum! Thanks for your insights. I’ve read the posts you quoted in this thread. You said,
"i would rather have good coordinates without associated positional accuracy than bad coordinates with positional accuracy. "
How would you determine whether coordinates are “good”?
You also said
" leave it to the scientists and analysts to correct for errors in the data they want to analyze".
What techniques would you recommend for finding inaccurate data and correcting errors?
What I’m getting at is… the accuracy field can be useful for throwing out data, as you say. Without this information from data providers, what other strategies can be used to understand data quality? Thanks!