Urban computing cyberinfrastructure: visualizing human sentiment using social media and augmented reality

Urban information discovery has a long history in geography and other related disciplines. Routing and Point-of-Interest (POI) searching services have been implemented in many Geographic Information Systems (GISs)-based applications, where spatial information (e.g., POI data) is projected to a digital map as a source of auxiliary data to support intelligent spatial decision-making. In recent years, Augmented Reality (AR) has become a growing trend to visualize spatial objects through digital visual elements. However, a research gap exists between GIS and AR systems in terms of computational efficiency and interoperability. This paper aims to develop a geospatial cyberinfrastructure that integrates urban information and AR to enhance spatial knowledge visualization and discovery. Our experiments demonstrate how spatial analysis and urban sentiment computing can efficiently be integrated into the AR-based framework to support real-time decision-making.