Spatial correlations, clustering and percolation-like transitions in homicide crimes
L. G. A. Alves, E. K. Lenzi, R. S. Mendes, and H. V. Ribeiro

TL;DR
This study analyzes the large-scale spatial patterns of homicide crimes across Brazil over thirty years, revealing exponential decay in correlations, increasing correlation lengths, and phase transition-like clustering behaviors that evolve over time.
Contribution
It provides the first large-scale empirical analysis of homicide spatial correlations and clustering transitions at a country level, extending previous city-level studies.
Findings
Exponential decay of spatial correlation function with distance.
Increasing correlation length over recent years.
Phase transition-like clustering behavior observed in city groups.
Abstract
The spatial dynamics of criminal activities has been recently studied through statistical physics methods; however, models and results have been focused on local scales (city level) and much less is known about these patterns at larger scales such as at a country level. Here we report on a characterization of the spatial dynamics of the homicide crimes along the Brazilian territory using data from all cities (~5000) in a period of more than thirty years. Our results show that the spatial correlation function in the per capita homicides decays exponentially with the distance between cities and that the characteristic correlation length displays an acute increasing trend in the latest years. We also investigate the formation of spatial clusters of cities via a percolation-like analysis, where clustering of cities and a phase transition-like behavior describing the size of the largest…
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