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business attribute adjustment and addresing

In this example, I investigated geoJSON data to verify location and feature ID associated to a missing address point, and used ground truth analysis to improve modeling and feature detail of a commercial business.  By providing accurate address information, the location is better searchable by public search engines, maps applications, and electric-vehicle navigation.

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To view a more detailed process of discovery, investigation and improvements made, click the button below.

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Prior to the work I committed, building polygon was not rendered and property detail was diffused across two features.  Polygon maintained previous business at same location and amenity detail was included in the node with in polygon boundary but found being the wrong amenity type.  While service loop was sufficient for navigation into area for parking, no parking detail was specified.

Screenshot 2024-01-15 at 11.32.34 AM copy.jpg

- Corrections -

To improve property detail, I modified building tagging and included business's name, address, and amenity type accordingly, used existing node to detail business entrance and added node for respective exit, and designated a parking amenity polygon with owner detail - complete with handicap designated parking stalls.  I also updated the wall adjacent the establishment which serves as a barrier to separate the grade from the parking lot to the north

Screenshot 2024-01-15 at 11.32.49 AM.png

- Updated rendered display -

After my changes, the establishment now populates a polygon with business name and amenity designation graphic, along with parking area denoted separate from road network.  By including address detail along with operating hours and phone number within Tag/Relations of polygon, search engines and routers can better query establishment and provide potential customers with that information more seamlessly.

Screenshot 2024-01-15 at 1.22.06 PM.png
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