A network-based spatial analytical method for detecting agglomerations in a point distribution on a network and its implementation
Shiode, Shino and Okabe, A. (2004) A network-based spatial analytical method for detecting agglomerations in a point distribution on a network and its implementation. Theory and Applications of GIS 12 (2), pp. 177-185. ISSN 1340-5381.
Abstract
Many kinds of phenomena, including traffic accidents, road kills of wild animals and distribution of urban facilities, occur on a network. To analyze their spatial patterns, this paper proposes a new spatial analytical method, called NT-VCM (Network Variable Clumping Method), as an extension of Variable Clumping Method on a plane, which we developed earlier and named PLN-VCM (Planar Variable Clumping Method). The major function of NT-VCM is to statistically detect significant multi-level network clumps in the distribution of points on a network using Monte Carlo simulations. Applying NT-VCM and PLN-VCM to the same data set, this paper shows that NT-VCM preserves connectivity of points on a network better than PLN-VCM.
Metadata
| Item Type: | Article |
|---|---|
| Keyword(s) / Subject(s): | network variable clumping method, point pattern analysis, network minimum spanning tree, shortest path |
| School: | Birkbeck Faculties and Schools > Faculty of Humanities and Social Sciences > School of Social Sciences |
| Depositing User: | Sarah Hall |
| Date Deposited: | 10 Nov 2016 15:13 |
| Last Modified: | 02 Aug 2023 17:27 |
| URI: | https://eprints.bbk.ac.uk/id/eprint/16651 |
Statistics
Additional statistics are available via IRStats2.
Archive Staff Only (login required)
 |
Edit/View Item |