As more agencies across the globe adopt technology to support call record analysis, GeoTime is featured in the Italian industry magazine – Sicurezza e Giustizia (Security and Justice) as one of the most-used software tools for this purpose.
A rough translation: ArcGIS® + GeoTime®: GIS technology to support the analysis of telephone traffic data
Historical mobile phone traffic billboards analysis is becoming increasingly important in investigative activities of public security organizations around the world, and leading technology companies have been trying to respond to the strong demand for the most suitable tools for supporting such activities.
Originally developed as a project funded in the United States by the Defense Advanced Research Projects Agency (DARPA), GeoTime, the uncharted software solution, is surely among the most used tools (18 countries, 275 public security units and thousands of users). use, effectiveness of visual representation, specific analyzes of the investigative and reporting world.
GeoTime integrates with the ArcGIS platform of Esri, the world’s leading geospatial solution provider, to provide the analyst with all relevant information for the area that is relevant for investigative purposes, enabling you to gain a better understanding of the scenario being investigated.
GeoTime The variables investigated from phone records are space-defined as the location roughly reconstructed based on the location of the mobile operators BTS-Base Transceiver Station and the associated time. For consideration of the accuracy of the localization, refer to the two articles by G. Zambonini and C. Fusco, published in this same magazine.
Figure 1 shows a possible representation mode with GeoTime: at the top we see the movements over time (z axis) and at the bottom projection on a base map.
The tabular is for a two-year time span, for a single cellphone user. In an intuitive way, from this representation we can already locate the location of the person’s habitual residence, as well as the displacements and the relative repetition frequency.
Figure 1: Example of displaying a telephone user’s data in GeoTime
Trying to imagine the combination of the contemporary representation of multiple users, it is intuitive to think how the density at the top of the graph of representative points of multiple users (proximity in space and time) is the clue of possible encounters between the suspects. Specifically, the instrument offers the ability to automatically detect these situations by assigning time / time search parameters (km / min).
Another possible space-time representation is that shown in Figure 2. Figure 2: Sample data representation of two telephone users in GeoTime
In this case we see the people associated with two different utilities moving very similarly over time (“z” axis). The figure describes the overall range available, but GeoTime also gives you the ability to present the timeline in a video and record it by creating a .WMV file. It is also possible to manage, through the timelines “Macro” and “Micro”, selections of the observed period to perform more detailed analysis.