The emergence of crowdsourced geographic information (CGI) has markedly accelerated
the evolution of land-use and land-cover (LULC) mapping. This approach taps into the …

The deep semantic information mining extracts deep semantic features from textual data and
effectively utilizes the world knowledge embedded in these features, so it is widely …

Land use/cover change (LUCC) simulation is a critical tool for monitoring and predicting
LUCC, which is essential for sustainable development and land resource management. This …

It is essential for sustainable development worldwide to reduce carbon emissions (CE),
however, how land use patterns in coal resource-based regions (CRBRs) affect CE remains …

In rapidly developing urban areas, land use changes frequently occur in conjunction with
population growth. The determination of the existing land use structure via traditional …

Crowd flow connects various geographic spaces in cities, revealing inter-regional
associations that are crucial for urban land–use identification. Existing research mainly …

Objective The paper aims to explore the possibility of using traffic violations as indicators for
spatial-temporal risk of traffic safety within road network constraints, identify key types of …

Building occupancy classification plays a crucial role in urban planning, disaster
management, and population modeling. Traditional methods often require extensive field …

The purpose of optimizing the allocation of land use (LU) space is to enable effective
utilization of land resources in various regions, in order to maximize the economic and social …