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Many geo data issues are already covered in in other sections - especially the entered by humans part - but there are some common quirks that might be worth mentioning?
lon/lat vs lat/lon
inconsistent or incorrect CRS
inconsistent values used to indicate NULLs
The text was updated successfully, but these errors were encountered:
A gotcha for me with was different names used to refer to same city (Beijing vs Peking), or different ways to name the same country (China vs People's Republic of China), I end up needing to create new columns and bind the varied names to standard country codes before I can join them.
Most common tends to be the mystery CRS, where it isn't specified in the data/metadata and the user has to guess which one to use. Really fun is when a dataset has some records in one CRS, some in another... and the lucky user gets to figure out which is which.
Many geo data issues are already covered in in other sections - especially the entered by humans part - but there are some common quirks that might be worth mentioning?
The text was updated successfully, but these errors were encountered: