input
- Geocoded locations (bulk Import or single entry)
- Locations must have an x coordinate, a y coordinate, and at least one other field (e.g. postcode or suburb)
- Location name (optional)
Engine
- Parameters to control tolerances
- Identifies potential errors by examining location clusters and their outliers
Output
- Grid and map
- Location clusters and outliers that require examination and correction
Specifications
Features
- Used for a bulk set of locations
- Uses a "reference table" of all locations that have ever been geocode checked, to help it determine the clusters
- Suggests a coordinate which would fix the outlier
Benefits
- Reduces spatial data errors
- Allows for more accurate and efficient subsequent vehicle routing and planning steps
Approach
- Uses cluster/outlier algorithm
- Assumes locations can be grouped into subsets by a common value (e.g. zip/post code)
- Common value is geographically meaningful (i.e. the locations with that common value should all be near each other)
Screenshots
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