Data Accuracy

Reference

Naurt provides you with three tools to understand the quality of a match from the geocoder.

1. Data Accuracy: the expected quality of geographic data for that address
2. Match Level: the geographical level to which the address has been matched
3. Search Confidence: the quality of the matched level

This page will discuss how data accuracy works.

Accuracy

Within the properties of the GeoJSON response, each Naurt parking spot and building entrance is tagged with an accuracy. Naurt currently supports three classifications: high, medium, or low.

Accuracy	Description
high	Entrance(s) is guaranteed to be on building perimeter and known to high accuracy.
medium	Entrance(s) detected near building perimeter and position adjusted accordingly.
low	Entrance detection of low quality with possible fallback to standard address based geocode.

Tip

accuracy does NOT refer to the confidence of a search match. accuracy is about the quality of geographic data we expect for that address.

For example, suppose you search for “12 Wiggly Road, Wigglesville”, but Naurt does not have this address and instead matches to “12 Wiggly Road, Wiggle City”. The accuracy score could still be high in this case, if that address has good input geographic data.

Instead, please see the documentation on search confidence here

Example GeoJSON with Accuracy

{
  "features": [
    {
      "geometry": {
        "coordinates": [
          [
            -0.12777561,
            50.83552396
          ]
        ],
        "type": "MultiPoint"
      },
      "properties": {
        "accuracy": {
          "quality": "high"
        },
        "naurt_type": "naurt_door"
      },
      "type": "Feature"
    },
    {
      "geometry": {
        "coordinates": [
          [
            [
              -0.1278694,
              50.83548944
            ],
            [
              -0.1279046,
              50.8355183
            ],
            [
              -0.12773404,
              50.83560128
            ],
            [
              -0.12769883,
              50.83557241
            ],
            [
              -0.1278694,
              50.83548944
            ]
          ]
        ],
        "type": "Polygon"
      },
      "properties": {
        "accuracy": {
          "quality": "high"
        },
        "minimum_parking_to_door_distance": 7.62,
        "naurt_type": "naurt_parking"
      },
      "type": "Feature"
    }
  ],
  "type": "FeatureCollection"
}