MapSafe combines geomasking, encryption, and notarisation to completely safeguard geospatial datasets.

  • Load and Display
  • Obfuscation
  • Encryption
  • Notarisation
Load the geospatial data you want to safeguard: Load your sensitive geospatial data here as a zipped shapefile. For more info on how to load data, including an instructional video, check out the safeguarding guide.
Or use a sample dataset. A fictional dataset that contains synthetically derived coordinates of potential Oil and Gas drill sites in North Coromandel, Aotearoa New Zealand.

Masking: set the minimum and maximum distance in meters to move points: Masking distances must be chosen carefully. For guidance on selecting a distance, check out the masking guide
Min: 30 m Max: 300 m
Calculate Privacy Rating: This represents the percentage of masked points that are closer to any sensitive point other than their original/parent/unmasked point. Spruill's Measure is described here.

Levels to include:  Choosing fine level includes only the original dataset, medium additionally includes a masked layer, while three levels additionally includes a heavily-masked dataset. Check out the encryption guide   

The encrypted volume's file name and hash value uniquely identifies it. Storing these on the blockchain
enables anyone to prove its authenticity. This hash value will verify the originality of this encrypted volume through the verification module. For guidance on notarisation, check out the notarisation guide