Introduction
Do you use FME to migrate data between spatial applications? Spatial applications use geometric data to represent spatial features from the real world. It’s common for these geometries to render differently between formats. These scenarios are frequently seen when translating GIS to CAD, and the reciprocal. Examples of geometric problems include overshoots, dangles, gaps, and duplicates. The act of correcting invalid geometry is often referred to as ‘cleaning’ data. These processes are also used to develop Quality Assurance and Control (QA & QC) procedures.
How do we fix dirty data? FME has powerful data cleaning transformers that repair both, high and low-quality multi-dimensional (2D,3D) datasets. FME’s transformer library can be found here (filter by categories like: ‘Geometries’, ‘Spatial Analysis’, ‘Filters and Joins’, etc.).
Articles
Creating Spatial Relationships- Data QA Identifying Sliver Overlaps and Gaps in Polygon Coverage
- Data QA: Identifying Spikes and Outliers with FME
- Reducing Unneccessary Coordinates
- Tutorial: Working with Topology and Network Transformers
- Data QA: Identifying Bad Topology in Linear Networks
- Correcting Topological Errors
- Building a Topological Network from a Road Dataset | Using the TopologyBuilder
- Data QA: Identifying Invalid Geometry Types
- Data QA: Identifying Duplicate Features with FME
- Data QA: Identifying Self-Intersections
Need help with geometry? Try posting a question on the FME Community Forums.