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Design And Implementation Of A Geospatial Dashboard For Crime Analysis And Prediction

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posted on 26.10.2021, 17:35 by Siyuan Liu
Dashboard has been around for a long time, and many have been developed as a governing and monitoring tool in city management, such as crime monitoring. However, the majority of crime dashboards function as a visualization tool and few of them has been specifically developed for crime analysis and prediction.
This thesis focuses on the development of geospatially-enabled crime dashboards with spatial analysis capabilities for supporting crime analysis and prediction. A prototype has been designed and implemented to support the understanding of crime events for crime reduction efforts. This dashboard will assist policy makers and leaders in crime fighting by visualizing basic statistical information of crimes, revealing their spatial and temporal patterns, identifying crime clusters, and analyzing relationships between crimes and other factors. Based on the criteria developed in this thesis, the prototype confirmed its ability of enhancing the understanding of crime events.





Master of Applied Science


Civil Engineering

Undergraduate Research

Ryerson University

LAC Thesis Type


Thesis Advisor

Songnian Li