Spatial flow outlier (SFO) detection aims to discover spatial flows whose non-spatial attribute
values are significantly different from their neighborhoods. Different from spatial flow …

Spatial co-location pattern (SCP) mining aims to mine the implicit relationships between
different spatial features. These features often have certain connections and co-occur in …

Spatial data often exhibit a tendency highly similar to spatial objects located close to each
other. Thus, prevalent co-location pattern (PCP) mining has been studied extensively to …

Water quality prediction in the spatially heterogeneous environment is challenging as the
importance of water quality parameters (WQPs) and the performance of prediction models …

Rapid urbanization in China has prompted plenty of urban facilities to be constructed with
the expectation of harmonizing with the rapid growth of urban population. However …

Spatial association rule mining can reveal the inherent laws of spatial object
interdependence and is an important part of spatial data mining. Most of the existing …

The discovery of spatio-temporal co-occurrence patterns (STCPs) among multiple types of
crimes whose events frequently co-occur in neighboring space and time is crucial to the joint …

A prevalent co-location pattern (PCP), which is a group of spatial features whose spatial
instances frequently appear together in nearby geographical areas, can expose valuable …

Cycling transport systems are an important way to reduce the city's carbon emissions. Street
renovation and renewal policies aim to encourage cycling transport by improving the cycling …

The water quality of Hong Kong's four water control zones (Tolo Harbour and Channel, Port
Shelter, Victoria Harbour, and Junk Bay) is of vital importance and has attracted much …