An visual analytics approach to explore criminal patterns based on multidimensional data

摘要

Comprehensive crime data sets, which contain multidimensional numeric attributes, have been collected over time. To understand the pattern and trend of such attributes, this paper presents an interactive system using visual analytics approach to explore the crime data of Fuzhou, China in 2011. Specifically, users could analyze multidimensional data simultaneously in various views and be able to discover high-relevant and valuable information through a variety of combination.