GISCafe Voice 
Susan Smith
Susan Smith has worked as an editor and writer in the technology industry for over 16 years. As an editor she has been responsible for the launch of a number of technology trade publications, both in print and online. Currently, Susan is the Editor of GISCafe and AECCafe, as well as those sites’ … More » Forecasting residential property damage data from Hurricane SandyOctober 28th, 2012 by Susan Smith
Among the predictions made for Hurricane Sandy, CoreLogic released data showing potential exposure to residential property damage from hurricane-driven storm-surge flooding as Hurricane Sandy makes its way toward the U.S. Atlantic Coast. “Based on current forecasts, Sandy is likely to make landfall along the northeastern Atlantic coast early Monday,” said Dr. Howard Botts, vice president and director of database development for CoreLogic Spatial Solutions. “Though it is still early and the projected path is constantly changing, Sandy could pose an enormous threat to major metropolitan areas in the Northeast, like New York City and Long Island, Atlantic City and Baltimore.” The data shows more than 261,000 total residential properties valued at over $80 billion at risk for potential storm-surge damage among the coastal Mid-Atlantic states, assuming the storm hits the coast as a Category 1 hurricane. Within that region, more than 210,000 total properties valued at over $67 billion stand at risk in five major metro areas from Virginia to New York. For the Google Earth plug-in go here: http://cl.cvic.com/sandy/sandy-embed.html
CoreLogic’s parcel database of property-level data for more than 131 million parcels nationwide is the basis for the storm surge data they can produce. The methodology involves prediction of the storm surge area using on-shore and off-shore geographic attributes of an area plus population density, and then identifies all residential properties within that storm surge area and analyzes it against property values of each home. Tags: CoreLogic, data, geographic attributes, geospatial, GIS, Google Earth, hurricane, Hurricane Sandy, parcel database, risk data, storm surge 2 Responses to “Forecasting residential property damage data from Hurricane Sandy” |
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