A proper understanding of urban functions is fundamental to prevent urban problems and
promote better built environments. While previous studies focus mainly on inferring urban …

The development of information technology has enabled many different technologies to
collect large amounts of spatial data every day. It is of very great significance to discover …

The presence or absence of some urban facilities can shape the spatial distribution of crime
occurrence. Exploring the joint influence of various types of facilities on crime occurrence …

The spatial co-location pattern is a collection of spatial features in which instances of
features prevalently appear in neighboring spatial regions. Due to the heterogeneity of …

Co-location patterns refer to subsets of Boolean spatial features with instances of these
features frequently appear in nearby geographic space. Maximal co-location patterns are a …

Regional co-location pattern mining is a branch of spatial co-location pattern mining, which
is used to discover co-location patterns that prevalently co-occur in local regions. The …

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 …

Detecting regional co-location patterns on urban road networks is challenging because it is
computationally prohibitive to search all potential co-location patterns and their localities …

Multilevel co-location patterns embedded in spatial datasets are difficult to discern due to the
complexity of neighboring relationships among spatial features. The neighboring …

Spatial co-location pattern (SCP) mining discovers subsets of spatial feature types whose
objects frequently co-locate in a geographic space. Many existing methods treat the space …