The centrality of a place reflects its relative importance in serving other places, and
quantifying centrality is a prerequisite for assessing the urban spatial structure and facilitates …

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 …

Spatial flow co-location patterns (FCLPs) are important for understanding the spatial
dynamics and associations of movements. However, conventional point-based co-location …

A location's irreplaceability refers to the degree of difficulty with which it can be replaced by
other locations. For example, the irreplaceability of airports, hospitals, and ATMs varies, and …

Understanding the response of human mobility to disruptive weather events is beneficial for
the development of urban risk mitigation and emergency response policies, thus enhancing …

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

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 …