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The service uses the street segment network only.
These data are carefully maintained by Department of Public Works, and brought into EAS on a nightly basis.
We return a single best candidate and have not implemented a scoring system.
Instead of scoring we return exceptions to help you correct the input data.
The location is based on the linear interpolation of the matching street segment.
We offset by 4 meters (about 12 feet) to the even or odd side like this:
This returns The JSON should look something like sothis:
| Code Block |
|---|
{
"inputAddressString": "100 Main St",
"inputZipCodeString": "94105",
"spatialReference": {
"wkid": 4326
},
"foundMatch": true,
"foundEasMatch": false,
"candidates": [
{
"address": "100 MAIN ST",
"location": "POINT (-122.3948959209805700 37.7917552676099080)",
"score": null,
"attributes": {
"StreetName": "MAIN",
"StreetType": "ST"
},
"addressNumber": "100",
"street": {
"streetNamePrimary": {
"base_street_name": "MAIN",
"street_type": "ST"
},
"streetNameAliases": [],
"l_f_add": 101,
"l_t_add": 199,
"r_f_add": 100,
"r_t_add": 198,
"seg_cnn": 8628000,
"geometry": "MULTILINESTRING ((-122.3949402377882200 37.7918420903234780, -122.3934079394635700 37.7906126704266400))"
},
"zipCode": "94105",
"jurisdiction": "SF MAIN"
}
],
"validations": [],
"didYouMean": []
} |
...