Hello, I'm learning about techniques to ensure GIS data quality. Googling around, I've found a few papers about theory and best practices [1] [2], and a couple of short presentations about the topic using ESRI tools [3] [4]
For example, the concepts of "tolerance" and "precision" are globally defined in ArcGIS (I didn't know it), and I think Oracle globally manages the concept of "tolerance" too. On the other hand, as far as I know, PostGIS doesn't expose the user-defined precision model supported by GEOS, and simply uses the full precision of floating point numbers. So, my question is: what PostGIS [topology] provided tools may be used for data quality assurance? Has anyone experience with this topic? Or maybe I'm just selecting the wrong tool for this. Anyway, many thanks in advance. -- Jorge Arevalo Freelance developer http://about.me/jorgeas80 [1] http://www.esri.com/library/whitepapers/pdfs/gis-data-quality-best-practices.pdf [2] http://www.nuim.ie/staff/dpringle/gis/gis11.pdf [3] http://flash.lakeheadu.ca/~forspatial/4270/GIS_data_quality.pdf [4] http://flash.lakeheadu.ca/~forspatial/4270/GIS_data_quality_topology.pdf _______________________________________________ postgis-users mailing list [email protected] http://lists.osgeo.org/cgi-bin/mailman/listinfo/postgis-users
