Statistical processing of building and neighborhood data considering energy ratings in Dublin, Ireland.

This paper presents a methodology aimed to enhance urban energy analysis through the utilization of geospatial data to collect and integrate not only building data but also data related to the urban context in which buildings are situated. Utilizing datasets like the GeoDirectory Building Energy Ratings (BER) dataset of Ireland, supplemented by data of Digital Landscape Models (DLM) Core Data from Tailte Éireann Surveying (PRIME2 Dataset), landscape map of Dublin, we acquire both geometric and non-geometric data related to buildings in Dublin at both building and neighborhood scales. These datasets enable us to perform effective neighborhood-scale analysis and built environment analysis within a geospatial context.