Street view imagery has rapidly ascended as an important data source for geospatial data
collection and urban analytics, deriving insights and supporting informed decisions. Such …

The visual landscape plays a pivotal role in urban planning and healthy cities. Recent
studies of visual evaluation focus on either objective or subjective approach, while …

Accurately understanding the functions of buildings is crucial for urban monitoring, analysis
of urban economic structures, and effectively allocating resources. Previous studies have …

Urban region function recognition is key to rational urban planning and management. Due to
the complex socioeconomic nature of functional land use, recognizing urban region function …

Remote sensing imagery (RSI) and point of interest (POI) are two complementary data for
urban functional zone (UFZ) extraction. However, current methods only use single data or …

OpenStreetMap (OSM) is a community-based, freely available, editable map service created
as an alternative to authoritative sources. Given that it is edited mainly by volunteers with …

Properties of spatially explicit data are often ignored or inadequately handled in machine
learning for spatial domains of application. At the same time, resources that would identify …

Serious interoperability challenges prevent the stakeholders of infrastructure projects and
citizens as the final users, from interacting with each other and hel** maintain a project …

Landuse characterization is important for urban planning. It is traditionally performed with
field surveys or manual photo interpretation, two practices that are time-consuming and …