Proactive spatiotemporal resource allocation and predictive visual analytics for community policing and law enforcement

IEEE Transactions on Visualization and Computer Graphics

Volumn 20, Issue 12, 2014, Pages 1863-1872

  Malik, Abish ^a   Maciejewski, Ross ^b   Towers, Sherry ^b   McCullough, Sean ^a   Ebert, David S ^a  

^a PURDUE UNIVERSITY   (United States)

^b ARIZONA STATE UNIVERSITY   (United States)

Author keywords

Law enforcement; Natural scales; Seasonal Trend decomposition based on Loess (STL); Visual analytics

Indexed keywords

FORECASTING; LAW ENFORCEMENT; RESOURCE ALLOCATION; SEDIMENTS; VISUALIZATION;

FORECASTING TECHNIQUES; KERNEL DENSITY ESTIMATION; NATURAL SCALES; PREDICTIVE ANALYTICS; SEASONAL TRENDS; SPATIAL CORRELATIONS; STATISTICAL ALGORITHM; VISUAL ANALYTICS;

LAWS AND LEGISLATION;

COMPUTER GRAPHICS; CRIME; FACTUAL DATABASE; HUMAN; INFORMATION SCIENCE; LAW ENFORCEMENT; PROCEDURES; SPATIOTEMPORAL ANALYSIS; STATISTICS AND NUMERICAL DATA;

COMPUTER GRAPHICS; CRIME; DATABASES, FACTUAL; HUMANS; INFORMATICS; LAW ENFORCEMENT; SPATIO-TEMPORAL ANALYSIS;

EID: 84909606231     PISSN: 10772626     EISSN: None     Source Type: Journal    
DOI: 10.1109/TVCG.2014.2346926     Document Type: Article

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