The integration of geographical data to support official statistics

Abstract

This study introduces ggregate Spatial Similarity Index Relocation (ASIR), a methodology aimed at enhancing the accuracy and quality of geographic data. ASIR facilitates the repositioning of geographic objects, ensuring better alignment across diverse data sources. This approach streamlines the integration and conflation process, reducing manual effort and ensuring excellent results in terms of data consistency and completeness. Implementing ASIR within the context of building registries contributes to effective geographic data management, crucial for territorial planning and management activities