Used in tandem with Spatial+™, our Geographic Determination Library (GDL) technology creates a "geo-variance buffer" around each geocode to help you make real-time spatial comparisons and confidence level assignments.

 With an address-level geocode in most cases, you can count on the latitude and longitude coordinates to hit within a few hundred feet of someone's front door. With a non-address level geocode, the coordinates could be much further from the actual location. In either case, how can you be cetain that the geocode is precise enough to meet your business requirements?


Geocoding Confidence

In test after test, GeoStan has been shown to produce more address-level geocodes and fewer false-positive matches than any other product on the market. But when GeoStan can't find the data required to calculate rooftop coordinates for a given address, such as a new home in a new subdivision, it first tries to return a geocode at the center of the ZIP+4. If that doesn't work, it looks at the ZIP+2, then the entire ZIP code.
The further out GeoStan must look from the actual address, the less likely the geocode information it returns will be accurate or useful for many high precision spatial applications. That's where Centrus GDL comes in.
Designed and built to complement GeoStan and Spatial+, our powerful business geographic analysis engine, Centrus GDL creates an "Error Surface" polygon that describes the Maximum Probable Error (MPE) unique to each geocode. This polygon, or geo-variance buffer, lets you determine the accuracy or confidence level of the geocode.
Once the "Error Surface" polygon is generated, it can then be compared against any spatial data to determine minimum and maximum distances from the input address to a line or point feature, or the polygon(s) the address falls within, along with a confidence factor.
The net result is a highly accurate geographic determination mechanism that lets you make faster, more informed and precise business decisions.

Spatial Intelligence

An insurance company can use GDL to make more exact flood zone determinations and territory assignments, as well as improve the precision of its "distance-to-shore" and "distance-to-fire-station" measurements. A telecommunications company can employ GDL to approximate the actual drive-able distance, or cabling distance, between two points. A satellite television company can use it to decide if a customer is eligible to receive local broadcast station feeds.
The net result is a highly accurate geographic determination mechanism that lets you make faster, more informed and precise business decisions.