Synonyms
Geoinformatic surveillance; Hotspot detection and prioritization; Early warning; Crime mapping; Mapping and analysis for public safety
Definition
Building on important developments in spatial analysis and fundamental advances in statistical research, and catalyzed by the broad outreach of the Penn State Center for Statistical Ecology and Environmental Statistics, a diverse partnership has gathered to develop cross-cutting solutions that address issues common to multiple national applications. The focal point is a toolkit for geoinformatic hotspot detection and prioritization that provides a new way to rigorously use the geospatial and spatiotemporal information that is available in a variety of national data products on geographic regions and infrastructure networks. The major information flows may be represented schematically as in Fig. 1.
Recommended Reading
Patil, G.P., Taillie, C.: Upper level set scan statistic for detecting arbitrarily shaped hotspots. Environ. Ecol. Stat. 11, 183–197 (2004)
Patil, G.P., Duczmal, L., Haran, M., Patankar, P.: On PULSE: the progressive upper level set scan statistic system for geospatial and spatiotemporal hotspot detection. In: The 7th Annual International Conference on Digital Government Research, San Diego, CA, May 21–24, 2006
Patil, G.P., Taillie, C.: Multiple indicators, partially ordered sets, and linear extensions: multi-criterion ranking and prioritization. Environ. Ecol. Stat. 11, 199–228 (2004)
Patil, G.P., Bhat, K.S., Kase, M.: Multicriterion prioritization with differential weights, stepwise aggregation, Hasse Diagrams, and Poset cumulative rank frequency operators. In: The 7th Annual International Conference on Digital Government Research, San Diego, CA, May 21–24, 2006
Kulldorff, M.: A spatial scan statistic. Commun. Stat Theor. Methods 26, 1481–1496 (1997)
Kulldorff, M., Feuer, E., Miller, B., Freedman, L.: Breast cancer in northeast United States: a geographic analysis. Am. J. Epidemiol. 146, 161–170 (1997)
Waller, L.: Methods for detecting disease clustering in time or space. In: Brookmeyer, R., Stroup, D. (eds.) Monitoring the Health of Populations: Statistical Methods and Principles in Public Health Surveillance, pp. 167–202. Oxford University Press, New York (2004)
Wardrop, D.H.: Digital tools for development, testing, and application of ecological indicators and early warning. In: Workshop on Digital Governance and Hotspot GeoInformatics at the Digital Government Research Conference, San Diego, CA, 21–24 May 2006
Phoha, S., Peluso, E., Stadter, P., Stover, J., Gibson, R.: A mobile distributed network of autonomous undersea vehicles. In: Proceedings of the 24th Annual Symposium and Exhibition of the Association of Unmanned Vehicle Systems International, Baltimore, MD, 3–6 June 1997
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Phoha, S., Peluso, E., Culver, R.L.: A high fidelity ocean sampling mobile network (SAMON) simulator tested for evaluating intelligent control of unmanned underwater vehicles. IEEE J. Ocean Eng. Special Edn, June (2001)
Ghosh, D. Acharya, R.: A probabilistic scheme for hierarchical routing. In: Proceedings of Ninth IEEE International Conference on Networks, Bangkok, Thailand, 10–12 2001
Mostashari, F., Kulldorff, M., Hartman, J., Miller, J., Kulasekera, V.: Dead bird clusters as an early warning system for West Nile Virus activity. Emerging Infect. Dis. 9, 641–646 (2003)
Ristic, B., Arulampalm, S., Gordon, N.: Beyond the Kalman Filter: Particle Filters for Tracking Applications. Artech House, Boston (2004)
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© 2008 Springer-Verlag
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Patil, G., Acharya, R., Myers, W., Phoha, S., Zambre, R. (2008). Hotspot Detection, Prioritization, and Security. In: Shekhar, S., Xiong, H. (eds) Encyclopedia of GIS. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-35973-1_571
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DOI: https://doi.org/10.1007/978-0-387-35973-1_571
Publisher Name: Springer, Boston, MA
Print ISBN: 978-0-387-30858-6
Online ISBN: 978-0-387-35973-1
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