2018 21st Saudi Computer Society National Computer Conference (NCC) 2018
DOI: 10.1109/ncg.2018.8592982
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A review of Crime Analysis and Visualization. Case study: Maryland State, USA

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Cited by 5 publications
(3 citation statements)
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“…Some studies can serve this purpose, since their approach include one or several characteristics. In this regard, these studies include: Investigations with methodology that include georeferencing and spatial and statistical analysis to find critical points such as [5,[24][25][26][27][28] or; visualizations with predictive usefulness, such as [29][30][31][32][33]; simulations of criminal behavior aimed at analyzing collateral effects and resources allocations [34][35][36]; systems that use algorithms for trajectory analysis to identify crimes from different sources of information [37,38]; mechanisms for calculating severity of incidents determined by distance, time and type of transition, plotted on heatmaps with dynamic transition, to extract information on street crimes [39,40]; systems for merging, associating and clustering data attributes, as well as for associating with other nodes to extract patterns from evolving criminal networks, based on observation and analysis of temporary data [41][42][43]; and finally, visualizations that use comparisons to find similarities in criminal patterns through associative searches with knowledge graphs [44] and multivariate reduction plots for comparative analysis of cases [45].…”
Section: Work Related To Criminal Activity Visualization Methodsmentioning
confidence: 99%
“…Some studies can serve this purpose, since their approach include one or several characteristics. In this regard, these studies include: Investigations with methodology that include georeferencing and spatial and statistical analysis to find critical points such as [5,[24][25][26][27][28] or; visualizations with predictive usefulness, such as [29][30][31][32][33]; simulations of criminal behavior aimed at analyzing collateral effects and resources allocations [34][35][36]; systems that use algorithms for trajectory analysis to identify crimes from different sources of information [37,38]; mechanisms for calculating severity of incidents determined by distance, time and type of transition, plotted on heatmaps with dynamic transition, to extract information on street crimes [39,40]; systems for merging, associating and clustering data attributes, as well as for associating with other nodes to extract patterns from evolving criminal networks, based on observation and analysis of temporary data [41][42][43]; and finally, visualizations that use comparisons to find similarities in criminal patterns through associative searches with knowledge graphs [44] and multivariate reduction plots for comparative analysis of cases [45].…”
Section: Work Related To Criminal Activity Visualization Methodsmentioning
confidence: 99%
“…Generally, many crimes seen by the public will not reach to the police due to many reasons like fear, lack of time, ignorance. Likewise Sahar Bayoumi, et al [7]. Geographic or cartographic Visualization is a form of information visualization includes principles of cartography, geographic information systems (GIS) and Exploratory Data analysis (EDA).…”
Section: Introductionmentioning
confidence: 99%
“…✓ Los que incorporan georreferenciación y análisis espacial y estadístico para encontrar puntos críticos [24], [25], [26], [27], [28], [29].…”
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