Abstract: Data points that include geolocation data are obtained. Frequency values are determined that depict frequencies of sets of the data points that are associated with respective geolocations represented by the geolocation data, and the frequency values are normalized. A georepresentation of the data points is generated, as a tangible 3-D model, using the geolocation data to determine location perspective of the data points on the 3-D model for a mapping of the data points to the 3-D model, and using the normalized frequency values to determine sensory attributes of portions of the 3-D model at locations of the respective mapped data points on the 3-D model, the sensory attributes representing frequency value ranges.