Effects of Data Quality on Predictive Hotspot Mapping

This award will fund research to investigate the effect of data quality on predictive hotspot mapping techniques. The research will determine empirical descriptions of the quality of a range of geocoding techniques, characterize the effects of data quality on the robustness of selected predictive crime hotspot mapping techniques, and determine the optimum parameters for predictive crime hotspot mapping techniques given a range of data quality parameters within the context of the accuracy and precision of hotspot prediction. The Board of Regents, NSHE, obo University of Nevada, Las Vegas will oversee the evaluation, process documentation, and dissemination activities.

ca/ncf