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This research is a follow-up study of LEITNER et al. (2011) who assessed the effect that one natural disaster – Hurricane Katrina – and subsequent population movements have had on crime in the state of Louisiana, U.S. Instead of using autoregressive, integrated, and moving average (ARIMA) models and cumulative percentile maps to analyze spatial and temporal trends of crimes across the study area, this study utilizes a visual analytics approach that integrates self-organizing map, color encoding, and multidimensional visualization. Such an approach is especially useful for the analysis of complex datasets that contain geographic locations, time series, and multiple variables.

Analyzing the Impact of One Important Unplanned Exceptional Event, Hurricanes, on Crime in Louisiana, U.S. Using a Visual Analytics Approach