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Testing the Adequacy of a Single-Value Monte Carlo Simulation for Space-Time Interaction Analysis of Crime

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

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10409))

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Abstract

The goal of this study is to determine the number of iterations (\( r \)) required in a Monte Carlo based space-time interaction analysis of crime data sets, in order to test the adequacy of using a single value of 999 iterations. A case study of burglary crime data sets is presented in which Knox test is used for the analysis of space-time interactions. The outcomes of this analysis demonstrate that the use of a single value, such as 999, does not always represent the most appropriate number of iterations especially when multiple ST neighbourhood sizes are involved. This analysis opens further research opportunities into determining the best strategy to defining the expected distribution in a space-time interaction analysis of crime.

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Correspondence to Monsuru Adepeju .

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Adepeju, M. (2017). Testing the Adequacy of a Single-Value Monte Carlo Simulation for Space-Time Interaction Analysis of Crime. 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_60

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  • DOI: https://doi.org/10.1007/978-3-319-62407-5_60

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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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