Hierarchical granular hotspots detection
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
http://link.springer.com/content/pdf/10.1007/s00500-019-03971-y.pdf
Reference19 articles.
1. Anderson TK (2009) Kernel density estimation and K-means clustering to profile road accident hotspots. Accident Anal. Preview 41(3):359–364. https://doi.org/10.1016/j.aap.2008.12.014
2. Chainey S, Ratcliffe J (2013) GIS and crime mapping (chapter 6), identifying crime hotspots. Wiley, Hoboken. ISBN: 10-470-86099-5
3. Chainey S, Reid S, Stuart N (2002) When is a hotspot a hotspot? A procedure for creating statistically robust hotspot maps of crime. In: Kidner D, Higgs G, White S (eds) Innovations in GIS 9: socio-economic applications of geographic information science. Taylor and Francis, London, pp 21–36. ISBN: 978-0415279109
4. Di Martino F, Sessa S (2011) The extended fuzzy C-means algorithm for hotspots in spatiotemporal GIS. Exp Syst Appl 38(9):11829–11836. https://doi.org/10.1016/j.eswa.2011.03.071
5. Di Martino F, Sessa S, Barillari UES, Barillari MR (2014) Spatiotemporal hotspots and application on a disease analysis case via GIS. Soft Comput 18(12):2377–2384. https://doi.org/10.1007/s0050001312117
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Fuzzy-Based Spatiotemporal Hot Spot Intensity and Propagation—An Application in Crime Analysis;Electronics;2022-01-26
2. Fuzzy Entropy-Based Spatial Hotspot Reliability;Entropy;2021-04-26
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