We propose a geographically reproducible approach to urban scene sensing based on
large-scale pre-trained models. With the rise of GeoAI research, many high-quality urban …

The aggregation of the same type of socio-economic activities in urban space generates
urban functional zones, each of which has one function as the main (eg, residential …

Due to the needs of social and economic development, population movements between
cities often occur on a large scale. Spontaneous population movements between cities …

The rising concentration of carbon in the atmosphere leads to increasing climate change,
and it has become a worldwide consensus to reduce emissions. Considering the degree of …

Texts have become an important spatial data resource. Interpretation of unstructured
geoscience texts using natural language processing methods can effectively facilitate the …

Acquiring spatial data of fine and dynamic urban features such as buildings remains
challenging. This paper brings attention to real estate advertisements and property sales …

Volunteered geographic information (VGI) plays an increasingly crucial role in flash floods.
However, topic classification and spatiotemporal analysis are complicated by the various …

Quantitative evaluation of the environmental amenities (EAs) in urban recreation and leisure
regions (URLRs) can provide stronger support for the government to enhance the quality of …

The street view image (SVI) and the point of interest (POI) are data sources with different
modalities and representing different urban environments, respectively. These two types of …

Environmental assessment (EA) evaluates the environmental impacts of proposed projects,
plans or policies to inform decision making. While several studies have highlighted the …