The integration of geographic information system (GIS) data within digital twin frameworks provides a critical spatial dimension that enhances their analytical and operational value. By embedding location intelligence into an AI integrated platform, digital twins can more accurately represent physical assets and their surrounding environments. This capability supports advanced functions such as continuous monitoring, predictive modeling, and interoperability across multiple digital systems, including IoT solutions for water management. This principle is articulated in Chris Andrews’ article 'ArcGIS: A Foundation for Digital Twins,' published in the ArcGIS Blog (Esri, January 11, 2021).