Evaluating Temporal Analysis Methods Using Residential Burglary Data
AbstractLaw enforcement agencies, as well as researchers rely on temporal analysis methods in many crime analyses, e.g., spatio-temporal analyses. A number of temporal analysis methods are being used, but a structured comparison in different configurations is yet to be done. This study aims to fill this research gap by comparing the accuracy of five existing, and one novel, temporal analysis methods in approximating offense times for residential burglaries that often lack precise time information. The temporal analysis methods are evaluated in eight different configurations with varying temporal resolution, as well as the amount of data (number of crimes) available during analysis. A dataset of all Swedish residential burglaries reported between 2010 and 2014 is used (N = 103,029). From that dataset, a subset of burglaries with known precise offense times is used for evaluation. The accuracy of the temporal analysis methods in approximating the distribution of burglaries with known precise offense times is investigated. The aoristic and the novel aoristic
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Boldt, M.; Borg, A. Evaluating Temporal Analysis Methods Using Residential Burglary Data. ISPRS Int. J. Geo-Inf. 2016, 5, 148.
Boldt M, Borg A. Evaluating Temporal Analysis Methods Using Residential Burglary Data. ISPRS International Journal of Geo-Information. 2016; 5(9):148.Chicago/Turabian Style
Boldt, Martin; Borg, Anton. 2016. "Evaluating Temporal Analysis Methods Using Residential Burglary Data." ISPRS Int. J. Geo-Inf. 5, no. 9: 148.
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