Abstract
The paper proposes one space-time version of network K-function for detecting space-time distribution pattern of incidents occurring on road network. It extends existing network K-function for purely network space point process data to the network space-time setting. Two Monte Carlo simulations are implemented in the experiment, one is to detect space-time clustering of load-unload points, and the other is to test space-time interaction. The experiment results show that there is a significant evidence of clustering and space-time interaction at several space and time scales. The real application indicates the proposed network K-function's potential of analyzing space-time point process.
| Original language | English |
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| Title of host publication | Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
| DOIs | |
| State | Published - 2011 |
| Externally published | Yes |
| Event | 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 - Shanghai, China Duration: 24 Jun 2011 → 26 Jun 2011 |
Publication series
| Name | Proceedings - 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
|---|
Conference
| Conference | 2011 19th International Conference on Geoinformatics, Geoinformatics 2011 |
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| Country/Territory | China |
| City | Shanghai |
| Period | 24/06/11 → 26/06/11 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
Keywords
- Load-unload Point
- Monte Carlo Simulation
- Network K-function
- Space-time Clustering
- Space-time Interaction
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