[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 …
Could free-floating bikeshare weed out station-based bikeshare? Analyzing the relationship between two bikeshare systems from bivariate flow clustering
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 …
(FFBS), the future of government-funded station-based bikeshare system (SBBS) is a matter …
Geographical flows: a fresh perspective on quantifying urban function
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 …
public facility. Previous research only focused on the types of urban function and its …
Integration of migration and attention flow data to reveal association of virtual–real dual intercity network structure
The study of intercity network structure from the perspective of flow space can effectively
reveal the connection patterns, hierarchical laws, and spatial organization of cities …
reveal the connection patterns, hierarchical laws, and spatial organization of cities …
Incremental spatiotemporal flow colocation quotient: a new spatiotemporal association analysis method for geographical flows
M Yang, M Zhou, X He, Y Wang, Z Chen… - International Journal of …, 2025 - Taylor & Francis
Analyzing spatiotemporal associations between different types of geographical flows across
multiple scales is crucial for understanding the dynamic relationships between them …
multiple scales is crucial for understanding the dynamic relationships between them …
A kriging interpolation model for geographical flows
Y Fang, T Pei, C Song, J Chen, X Wang… - International Journal …, 2023 - Taylor & Francis
The kriging model can accommodate various spatial supports and has been extensively
applied in hydrology, meteorology, soil science, and other domains. With the expansion of …
applied in hydrology, meteorology, soil science, and other domains. With the expansion of …
A network-constrained clustering method for bivariate origin-destination movement data
For bivariate origin-destination (OD) movement data composed of two types of individual OD
movements, a bivariate cluster can be defined as a group of two types of OD movements, at …
movements, a bivariate cluster can be defined as a group of two types of OD movements, at …
Geographically weighted flow cross k-function for network-constrained flow data
Network-constrained spatial flows are usually used to describe movements between two
spatial places on a road network. The analysis of the spatial associations between different …
spatial places on a road network. The analysis of the spatial associations between different …
Enhancing bivariate spatial association analysis of network-constrained geographical flows: An incremental scale-based method
Measuring bivariate spatial association plays a key role in understanding the spatial
relationships between two types of geographical flow (hereafter referred to as “flow”) …
relationships between two types of geographical flow (hereafter referred to as “flow”) …