Automated Validation of Spatial Data

Spatial databases, are often based on relational database management systems (RDBMS), to incorporate geographical data essential for data planning and optimization. However, maintaining the integrity of spatial data poses challenges, particularly in enforcing topological rules and preventing performance degradation during query execution. In this context, we propose an automated geometry validation application tailored for database environments, complemented by a user-friendly web-based interface. Our solution addresses the issue of invalid geometries often encountered in datasets, enhancing the reliability and efficiency of spatial database operations. Through performance and accuracy evaluations, we demonstrate the effectiveness of our approach in improving the overall user experience and trust in data planning processes with minimal implementation efforts.