The methodology used to process Mobile Big Data into meaningful and reliable statistical indicators has been developed in cooperation between Positium and the University of Tartu since 2004. The core of the methodology is a continuity model, which is the representation of people’s spatio-temporal activity with a semantic domain-specific interpretation of the behaviour of the subscribers.

Among others, the methodology includes following models:

  • Universal coverage area model of the network antennae
  • Probabilistic spatial interpolation using an adaptive grid and land coverage model
  • Stay/move sections identification
  • Anchor point model for the recognition of meaningful locations and the semantic assumptions of those places
  • Identification of long-term changes in migration, usual environment and activity spaces
  • Calculation of population statistical indicators
  • Calculation of mobility statistical indicators and origin-destination matrices
  • Calculation of national and international statistical indicators