Tag Archives: HunchLab

Jul 29, 2010

HunchLab – New Functionality, Two Videos and a Great Partner

By Sean McGinnis

Fueled by coffee and ice pops, the Law Enforcement team has been busy this year. We have been awarded a National Science Foundation Small Business Innovation Research Phase IIb grant to continue the development of new functionality, attended conferences and conventions and started working with a great partner, Jerry Ratcliffe from Temple’s Department of Criminal Justice .

Earlier this year, Robert Cheetham gave a presentation on HunchLab, our web-based geographic crime visualization, early warning and risk forecasting application at the Space Time Modeling and Analysis workshop as part of Redlands GIS Week.


Other presentations from the conference can be found here.

We have extended our hot spot/kernel density tool to allow for the animation of the maps to see how the density shifts through time.

With our NSF SBIR Phase IIB, we are working on different risk forecasting tools. The first tool that we are building in collaboration with Jerry Ratcliffe is a web-based near repeat analysis and visualization tool.

Near Repeat UI

While collecting links for this post, I stumbled across this video of Jerry and Little Nellie.

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Dec 31, 2009

David and Josh on Video

By Robert Cheetham

We had a busy autumn at conferences. Josh Marcus represented us at the first International Crisis Mapping Conference in Cleveland, Ohio.  He presented our work with HunchLab, the crime analysis, early warning and forecasting system we have been developing with support from the National Science Foundation.

Over the past year, David Zwarg has been devoting his 10% research time to supporting the mapping components on the SourceMap project at the MIT Media Lab.  He had a chance to present at the Boston Ignite Spatial a couple of weeks ago.  Check out his presentation on this video.

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Sep 06, 2009

Subterranean Heat Map is Not What You Think

By Robert Cheetham

Our HunchLab team has been working on some new server-based kernel density routines that will generate density maps based on crime events.  Many in the GIS world have taken to calling density maps like these “hot spot” maps or “heat” maps.  But the recent map published by Transport for London is a little different – it literally shows which line segments have the highest temperature.  The tunnels through which the subways run have been steadily warming for the last century, with temperatures now exceeding 32 degrees Celsius and no air conditioned cars.  Some of them will get new air-conditioned cars in 2010, other lines with deep tunnels have no space for waste heat and are experimenting with alternative approaches to cooling the passengers.  These are static maps, but I think we’ll all be carrying temperature, noise and other sensors built into our phones and tablets in a few years.  That’s going to make for an avalanche of data, but some potentially fascinating applications.

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