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Comparative Analysis of Two Variants of the Knox Test: Inferences from Space-Time Crime Pattern Analysis

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Computational Science and Its Applications – ICCSA 2017 (ICCSA 2017)

Abstract

This paper compares two variants of the Knox test in relation to space-time crime pattern analysis. A case study of burglary and ‘stolen-vehicle’ crime data sets of San Francisco city is presented. The comparative analysis shows that while one variant is designed to detect the sizes of the spatio-temporal neighbourhoods at which clustering (hotspots) is prominent within a data set, the other variant is able to reveal the spatial and temporal windows/bands at which crime events are frequently repeated to form clusters (hotspots) across an area.

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Correspondence to Monsuru Adepeju .

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Adepeju, M., Evans, A. (2017). Comparative Analysis of Two Variants of the Knox Test: Inferences from Space-Time Crime Pattern Analysis. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10409. Springer, Cham. https://doi.org/10.1007/978-3-319-62407-5_59

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_59

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-62406-8

  • Online ISBN: 978-3-319-62407-5

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