[HTML][HTML] X-index: A novel flow-based locational measure for quantifying centrality
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 …
quantifying centrality is a prerequisite for assessing the urban spatial structure and facilitates …
A space-time flow LISA approach for panel flow data
Spatial flow data represent meaningful spatial interaction (SI) phenomena between
geographic regions that are often highly dynamic. However, most existing flow analytical …
geographic regions that are often highly dynamic. However, most existing flow analytical …
Deciphering flow clusters from large-scale free-floating bike sharing journey data: a two-stage flow clustering method
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 …
uncover the spatio-temporal interactions and mobility patterns in the free-floating bike …
Strength-weighted flow cluster method considering spatiotemporal contiguity to reveal interregional association patterns
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 …
origin-destination (OD) flow data to capture interregional associations. However, prevailing …
Detecting spatial flow outliers in the presence of spatial autocorrelation
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 …
values are significantly different from their neighborhoods. Different from spatial flow …