November 2018
Beginner to intermediate
272 pages
5h 36m
English
Sometimes the data that we receive from different sources or data that results from a chain of spatial processing steps can have problems. Topological errors can be particularly annoying since they can lead to a multitude of different problems when using the data for analysis and further spatial processing. Therefore, it is important to have tools that can check data for topological errors and that know ways to fix discovered errors. Care must always be taken when changing topological errors on batch, so make sure any corrections work on a few geometries before scaling across all your data.
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