Improving geocoding matching rates of structured addresses in Rio de Janeiro, Brazil

• Váldodahkkit: Taísa Rodrigues Cortes (Dahkki), Ismael Henrique da Silveira (Dahkki), Washington Leite Junger (Dahkki)
• Materiálatiipa: Girji
• Almmustuhtton: Escola Nacional de Saúde Pública, Fundação Oswaldo Cruz, 2021-07-01T00:00:00Z.
• Fáttát: article
• Liŋkkat: Connect to this object online.

Abstract: Strategies for improving geocoded data often rely on interactive manual processes that can be time-consuming and impractical for large-scale projects. In this study, we evaluated different automated strategies for improving address quality and geocoding matching rates using a large dataset...