Title
VisCrime - A Crime Visualisation System for Crime Trajectory from Multi-Dimensional Sources.
Abstract
Open multidimensional data from existing sources and social media often carries insightful information on social issues. With the increase of high volume data and the proliferation of visual analytics platforms, users can more easily interact with and pick out meaningful information from a large dataset. In this paper, we present VisCrime, a system that uses visual analytics to maps out crimes that have occurred in a region/neighbourhood. VisCrime is underpinned by a novel trajectory algorithm that is used to create trajectories from open data sources that reports incidents of crime and data gathered from social media. Our system can be accessed at http://viscrime.ml/deckmap
Year
DOI
Venue
2019
10.1145/3289600.3290617
WSDM
Keywords
Field
DocType
crime trajectory, trajectory reconstruction, viscrime, visualization
Open data,Multi dimensional,Social media,Social issues,Information retrieval,Computer science,Visualization,Visual analytics,Neighbourhood (mathematics),Trajectory
Conference
ISBN
Citations 
PageRank 
978-1-4503-5940-5
0
0.34
References 
Authors
6
11
Name
Order
Citations
PageRank
Ahsan Morshed110211.75
Tsai Pei-wei212715.88
Prem Prakash Jayaraman337844.66
Timos K. Sellis449701255.07
Dimitrios Georgakopoulos52554580.54
Sam Burke600.34
Shane Joachim700.34
Ming-Sheng Quah800.34
Stefan Tsvetkov900.34
Jason Liew1000.34
Corey Jenkins1100.34