Geographical flow (hereafter flow) can be modeled as an orderly connected point pair
composed of an origin (O) and a destination (D). Aggregation is the most common form of …

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 …

A geographical flow (hereafter flow) is defined as a movement between locations at two
different times. A group of spatiotemporal flows can be viewed as a cluster if their origins and …

Against the backdrop of the strong market expansion of free-floating bikeshare systems
(FFBS), the future of government-funded station-based bikeshare system (SBBS) is a matter …

Identifying clusters from individual origin–destination (OD) flows is vital for investigating
spatial interactions and flow mapping. However, detecting arbitrarily-shaped and non …

Geographical flows reflect the movements, spatial interactions or connections among
locations and are generally abstracted as origin-destination (OD) flows. In this context …

A bivariate flow cluster is a group of two types of spatial flows, where both types of flows
have high (or low) values, or one type of flow has a high value while the other has a low …

In spatial point data, a hotspot is defined as a group of points with a significantly higher
density within an arbitrarily shaped area. Among existing hotspot identification methods …

Job-housing flows are among the most important travel flows in a city. Therefore, it is
essential to measure the extent to which the job-housing flow distribution covers the city …

Urban function refers to various roles and activities that take place in an urban region or a
public facility. Previous research only focused on the types of urban function and its …