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If you have a geospatial database, you can create queries that return polygons by name.
Your points (long./lat.) would be contained in such polygons, and that's how you know that, for example, (40.727417 , -73.795853) is in Queens, New York, New York State, USA, with those as 4 separate rows in this example.
Such databases can contain all kinds of polygons, for states, countries, regions, districts, areas, biotopes, etc.
A geospatial database is usually just a relational database, with added functions, operators & data types to deal with points and polygons and overlaps, distance calculations, etc.
WebFOCUS 8.1.03, Windows 7-64/2008-64, IBM DB2/400, Oracle 11g & RDB, MS SQL-Server 2005, SAP, PostgreSQL 11, Output: HTML, PDF, Excel 2010 : Member of User Group Benelux :
We actually have a geojson file, located in the following location, that has all the major cities and states and their lat/lng. We also use a CSV with the information on look up, but had to get IBI to come in and create the map, because we could never get it to work. Took them a week and 3 people involded from IBI. Not an easy solution.
you can get from one of the zip code sites or from the usps (can't remember which , now, just know I have done it), the lat-long of each zip centroid. if you start with a latlong, you can find the closest lat-long combination in that zip file. probably don't need to do the trig, since your distances will be small. This is a fun project, I did something like this in my elie tahari days with all our stores and outlets. I guess you're doing all your stores as well. try the US census bureau, I know the file is in the public domain.
In Focus since 1979///7706m/5 ;wintel 2008/64;OAM security; Oracle db, ///MRE/BID
Posts: 3811 | Location: Manhattan | Registered: October 28, 2003