Centrus GeoStan performs the
fastest, most accurate address correction and geocoding in the
business, preparing your data for a powerful assortment of
business geographics applications
GeoStan is the geocoding
technology of choice in applications where location is critical.
It is the first, and most difficult, step in accurate geographic
analysis. Geographic analysis allows you to
answer business problems that involve location:
- In what feature is this
address located?
- What is the closest feature?
- How far is the address to the
nearest feature?
Our ability to geocode addresses
with roof top precision is the first step in providing answers to
these questions. Our technology has been selected and proven in
industries where precision geocoding is critical.
What is geocoding?
Geocoding is the process of
appending a latitude and longitude to an address
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Input:
4750 Walnut St
Boulder CO |
Output:
4750 Walnut St
Boulder CO 80301-2532
Latitude 40.018994
Longitude -105.239861
Roof-Top Precision |
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How is address matching done?
Address matching is the process
of matching input addresses against a postal or geocoding
database. Most address matching solutions work the same way.
First, the address is parsed into its components - house number,
pre-directional, street name, street type, post directional, and
so forth, and then it attempts to find a "close" match in the
source data.
The problem with this approach is
that it assumes that all of the input addresses are correctly
entered. For example:
1400 Westgate Way Fargo
ND
Could this be:
- 1400 W Gateway?
- 1400 W Gate Way?
- 1400 W Gateway Cir?
- 1400 Westgate Way?
Only GeoStan's non-parsing
approach to address matching can find the correct answer:
1400 W Gateway Cir
Fargo, ND 58103-3530
Latitude: 46.859431 Longitude-96.824699
Rooftop Geocode
What is conflation, and how
does it make the results more accurate?
- Conflation is the process of
combining the data from two disparate data sources - USPS and
spatial data from TIGER, GDT, Tele Atlas or Navtech, into a
single unified data set.
- It creates a wider and richer
universe than is possible with either data set alone.
- A larger data set means more
matches with fewer false positives.
- Since standardization and
geocoding occur in a single step – the geocoding process is
faster and more accurate than two-pass systems.
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