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We propose to use agent-based simulation models for the development ofstatistical methods in Official Statistics, especially in relation with the newdigital data sources. We present a mobile network data simulator which ismanaged through the simutils R package which provides geospatialrepresentations of the simulated data. While the synthetic data are produced byan external tool, our simutils package allows an R user to parameterize and runthis external simulation tool, to build geospatial data structures from thesimulation output or to compute several aggregates. The geospatial datastructures were designed with the purpose of using them in a visualizationpackage too. Useful simulation models require the incorporation of realmetadata from mobile telecommunication networks driving us to the inclusion offunctionalities allowing the user to specify and validate them. All metadataare specified using XML file whose structure are defined in corresponding XSDfiles. Our R package includes example data sets and we show here how validatethe metadata, how to run a simulation and how build the geospatial datastructures and how to compute different aggregates.

Use of Simulation Models for the Development of a Statistical Production Framework for Mobile Network Data with the simutils Package