CoreLogic expands location-based intelligence with building footprints
CoreLogic has expanded its location-based intelligence data with the addition of structure footprint information to its other parcel and property characteristics data offerings.
CoreLogic is a global property information, analytics and data-enabled services provider. The company made the announcement at the 2016 Esri User Conference, being held in San Diego, California, June 27-July 1.
CoreLogic Structure Footprint enables accurate roof-top geocoding and identifies the location and outline of relevant structures on a parcel, including all known sub-addresses, to provide a more granular and precise property description.
CoreLogic residential and commercial structure footprint data covers more than 35 million rural and urban parcels throughout the U.S, including two-thirds of the largest 50 metro areas. When combined with other CoreLogic proprietary property data, including business financial health, natural hazard risks, occupancy information and building characteristics, the added structure footprint data provides a more complete picture of a property than was previously available.
Accurate location data is a critically important factor for planning and operations in oil and gas, insurance, geo-commerce and other industries that need to understand what type of structures and building characteristics are associated with property addresses.
The addition of structure footprint data complements the existing CoreLogic property characteristic data, which details attributes in 150 distinct categories that provide location intelligence on everything from zoning and land use to details about roof type and number of bedrooms.
“The addition of this property data layer, which identifies individual structures within a single parcel, can improve efficiencies and risk segmentation for everything from geo-commerce to insurance,” said Steve Brewer, senior vice president of Insurance and Spatial Solutions at CoreLogic. “It’s exciting to see this level of granularity added to location intelligence that was previously not available — granularity that can be used in a variety of decision-making situations including natural hazard risk assessment, marketing, asset management and claims processing.
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