Surveillance Geoinformatics of Hotspot Detection and Prioritization for
Monitoring, Etiology, Early Warning
and Sustainable Management
by G.P. Patil
Short Courses and Case Studies Workshops Around the World
- Jalgaon, India (December 15-30, 2009)
- University Park, PA USA (May 14-18, 2009)
- Bogor, Indonesia (December 28-30, 2008)
- Jalgaon, India (December 14-24, 2008)
- Jalgaon, India (July 18-28, 2008)
- Jalgaon, India (March 8-24, 2008)
- Bogor, Indonesia (January 18-25, 2008)
- Bangkok, Thailand (January 12-16, 2008)
- Jalgaon, India (December 15-29, 2007)
- Macao, China (December 10-13, 2007)
- Jalgaon, India (November 13-23, 2007)
- University Park, PA, USA (May 14-18, 2007)
- Hiroshima, Japan (January 15, 2007)
- Macao, China (January 10-11, 2007)
- Bogor, Indonesia (December 27-30, 2006)
- New Delhi, India (December 26, 2006)
- Jalgaon, India (December 11-22, 2006)
- San Diego, USA (May 21-24, 2006)
- Parma, Italy (March 30-31, 2006: October 1, 2006)
Course Instructor and Workshop Leader
Contact: G. P. Patil firstname.lastname@example.org
G. P. Patil
Distinguished Professor and Director,
Penn State Center for Statistical Ecology and Environmental Statistics
NSF Digital Government Research Project for Hotspot GeoInformatics
Former Visiting Professor, Harvard School of Public Health
Editor-in-Chief, Environmental and Ecological Statistics
Fellow ASA, IMS, AAAS, RSS, ISI, IISA, NIE, DSEA
Administrative Information and Registration
Registration fees will be reduced/waived for graduate research students, interested government scientists
and acceptable case studies presenters.
Motivation, Description, and Timeliness
Geoinformatic surveillance for spatial and temporal hotspot detection and prioritization is a critical need for the 21st Century. A declared need is around for statistical geoinformatics and software infrastructure
for spatial and spatiotemporal hotspot detection, prioritization, early warning, and sustainable
management. A hotspot can mean an unusual phenomenon, anomaly, aberration, outbreak, elevated
cluster, critical area. The declared need may be for monitoring, etiology, early warning, or management.
The responsible factors may be natural, accidental, or intentional. The five year NSF DGP project has
been instrumental to conceptualize surveillance geoinformatics partnership among several interested cross-disciplinary scientists in academia, agencies, and private sector across the nations.
Technical, Scientific, Picturesque Reference Material
The following web links are of some informative papers.
G. P. Patil and C. Taillie (2003). Geographic and network surveillance via scan statistics for critical area detection. Statistical Science, 18 (4), 457-465.
G. P. Patil and C. Taillie. (2004a). Upper level set scan statistic for detecting arbitrarily shaped hotspots. Environmental and Ecological Statistics, 11 (2), 183-198.
- G. P. Patil and C. Taillie (2004b). Multiple indicators, partially ordered sets, and linear extensions: Multi-criterion ranking and prioritization. Environmental and Ecological Statistics, 11 (2), 199-228.
G.P. Patil, Raj Acharya, Amy Glasmeier, Wayne Myers, Shashi Phoha, and Stephen Rathbun (2006d). Hotspot Detection and Prioritization – Geoinformatics for Digital Governance, In: Digital Government: Advanced Research and Case Studies. Springer Publ., H. Chen. L. Brandt, V. Gregg, R. Traunmüller, S. Dawes, E. Hovy, A. Macintosh, C. Larson (Editors).
G.P. Patil, Raj Acharya, Wayne Myers, Shashi Phoha, and Rajan Zambre, Hotspot Geoinformatics for Detection, Prioritization, and Security (2006g). In: Encyclopedia of Geographical Information Science, Shashi Shekhar and Hui Xiong (Editors).