Optimized Spatial Data Conflation with Topological Conditions

This project addresses the study of geographic data conflation, which is the process of merging two separate datasets of the same geographical region. In particular, the goal of the project is to develop algorithms that can automate the process of conflation. Conventionally, conflation has been achieved by time-consuming manual processes, which can be unreliable and expensive to implement. By developing methods that can be integrated into geographic information systems, this project increases the potential for diverse organizations to conduct conflation at larger scales in reliable and reproducible ways.