Spatial flow data represent meaningful spatial interaction (SI) phenomena between
geographic regions that are often highly dynamic. However, most existing flow analytical …

One of the most crucial topics in spatial interaction studies is mining patterns from extensive
origin-destination (OD) flow data to capture interregional associations. However, prevailing …

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 …

Understanding the travel flux between urban blocks is fundamental for traffic demand
prediction, urban area planning and urban traffic management. However, the uncertainty of …

Extracting flow clusters consisting of many similar origin–destination (OD) trips is essential to
uncover the spatio-temporal interactions and mobility patterns in the free-floating bike …

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

The study of spatial social networks has evolved from identifying structures within single
networks to analyzing spatial associations between multilayer networks. However, current …

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 …

Origin-destination (OD) datasets are often represented as 'desire lines' between zone
centroids. This paper presents a 'jittering'approach to pre-processing and conversion of OD …