dgOnline NEWS > DG Team Explores Methods of Detecting = Crisis Points - Hotspot Detection and Prioritization with GIS Data Can = Help Pinpoint Trouble Faster

From: Subject: dgOnline NEWS > DG Team Explores Methods of Detecting Crisis Points - Hotspot Detection and Prioritization with GIS Data Can Help Pinpoint Trouble Faster Date: Wed, 11 Apr 2007 13:36:48 -0400 MIME-Version: 1.0 Content-Type: multipart/related; type="text/html"; boundary="----=_NextPart_000_0025_01C77C3E.7432EEA0" X-MimeOLE: Produced By Microsoft MimeOLE V6.00.2900.3028 This is a multi-part message in MIME format. ------=_NextPart_000_0025_01C77C3E.7432EEA0 Content-Type: text/html; charset="iso-8859-1" Content-Transfer-Encoding: quoted-printable Content-Location: http://www.digitalgovernment.org/news/stories/2004/1104/1104_hotspots_heyman.jsp dgOnline NEWS > DG Team Explores Methods of Detecting = Crisis Points - Hotspot Detection and Prioritization with GIS Data Can = Help Pinpoint Trouble Faster

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DG Team Explores Methods of Detecting Crisis=20 Points
Hotspot Detection and Prioritization with GIS = Data Can=20 Help Pinpoint Trouble Faster
By Karen Heyman
For the DGRC

Hotspot Detection and = Prioritization=20

Researcher profile:
Ganapati=20 P. (GP) Patil

Project profile:
Project=20 Geoinformatic Surveillance: Hotspot Detection and = Prioritization=20 Across Geographic Regions and Networks for Digital = Government in the=20 21st Century
Project home=20 page

As=20 statisticians and those who work in data analysis know, sometimes = the most=20 powerful tools are numbers.

But just like physical tools,=20 algorithms and statistical models can be in need of updating. Data = analysis techniques that once seemed sufficient can prove = inadequate to=20 the task of deriving answers from more complicated data sets with=20 increasing numbers of parameters. "We need to develop a new kind = of=20 statistics and data analytics to deal with modern challenges," = says=20 Digital Government researcher Ganapati=20 P. (GP) Patil, director of the Center for = Statistical=20 Ecology and Environmental Statistics at Pennsylvania=20 State University.

Patil and his colleagues are working = on how=20 to identify potential "hotspots." These can be crisis points in = the=20 military sense involving areas and networks of robots, sensors, or = wireless devices, but also in the environmental and human health = sense=20 involving events of societal importance over geographic regions or = across=20 networks.

Where might the next outbreak of West Nile Virus = be?=20 Where could an insect pest or invasive plant species overtake = native=20 agriculture and nature? Many of these concerns, which used to be = of=20 primary interest only to public health and environmental = officials, now=20 have also become issues for Homeland Security professionals. Where = might=20 prevailing winds take a bioterror agent? What is the most = vulnerable spot=20 downstream from contaminated and contaminating water sources = upstream?=20

The identification process for these hotspots requires the = coordination of many spatial and temporal parameters. Consider, as = one=20 example, a potential epidemic. One would need to include = geographic=20 distribution of reported cases of an illness, to get an idea both = of where=20 it started and of whether its spread is following any particular = pattern.=20 One would also need to consider if there were unusual spikes in = the=20 numbers of cases in a brief period of time - and one would need to = compare=20 those figures to historical records to see if the number of cases = is truly=20 high in comparison to the same time period in previous years. =

In=20 order to correctly incorporate and interpret all of these = parameters,=20 Patil and his collaborators start with the spatial scan statistic, = a=20 widely used metric in public health, and modify it to apply to=20 environmental sciences and elsewhere.

"The popular = health-area scan=20 statistic is a statistical method designed to detect a local = excess of=20 events and to test if such an excess can reasonably have occurred = by=20 chance," explains Patil. "However, its major limitation is that it = is=20 circle-based. The clusters can be of any shape, and cannot be = captured=20 only by circles. In more general settings, this is likely to give = more=20 false alarms and more of a false sense of security. What we need = is=20 capability to detect arbitrarily shaped hotspots. We plan to = accomplish=20 this using our innovation with upper level sets and their = connected=20 components."

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Con= tribute=20 to dgOnline
Once = hotspots are=20 identified, there is the additional problem of their = prioritization in=20 response to multiple decision-making criteria and scores or = indicators. In=20 a world of limited financial resources and agencies which = naturally will=20 have different priorities according to their mandates, the second = part of=20 Patil's work, which also depends on a modification of statistical = methods,=20 gives objective rankings to a heart-rendering decision-making=20 process.

What Patil and his collaborators are creating is, = in his=20 words, "the methodological toolbox" - the mathematical concepts = that will,=20 in a future phase of development, become the basis for prototype = software=20 that can be used by public officials and concerned scientists to=20 anticipate and address crises ranging from natural diseases to = homeland=20 security events. "If you were to take slices of hot spots every = day, you=20 could see a trajectory that would give you an idea about the = nature of the=20 hotspots to target," says Patil.

"The work that Patil is = doing has=20 opportunities to benefit everything from the Humanitarian = Information Unit=20 in the Department of State to ecological studies," says John=20 Kelmelis, Senior Counselor for Earth Science at the U.S. Department of State, "The = [HIU]=20 responds to complex humanitarian disasters worldwide - identifying = them=20 before they happen is very important. Patil's work will help us do = that.=20 Additionally, it will be helpful in identifying fundamental = changes in=20 earth processes, like land cover changes. Once you've been able to = identify them, then you can work on determining what caused = them."

		This site is maintained by = the Digital Government Research = Center at the=20 University of Southern California's Information Sciences Institute. =		=95 CONTACT=20 =95 POLICIES=20

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