地理
地图学
点模式分析
大流行
空间分布
2019年冠状病毒病(COVID-19)
分布(数学)
聚类分析
自然地理学
统计
数学
遥感
医学
数学分析
疾病
病理
传染病(医学专业)
作者
Andrzej Leśniak,Agnieszka Polończyk,Przemysław Waśniowski
标识
DOI:10.1080/15230406.2021.2013945
摘要
The article presents the impact of the COVID-19 pandemic on selected types of crime in Krakow and their spatial distribution during the lockdown period during the spring of 2020. We compared crimes committed over a three-month period from March 15 up to 15 June 2020 with crimes committed during the corresponding periods of previous years, i.e. in 2015–2019. To characterize their spatial distribution, we used the Nearest Neighbor Analysis method (NNA). In the next stage of the study, an intensity distribution map was prepared for five different crime categories in 2015–2019 using the kernel function method. The point data layer from 2020 was then superimposed on the intensity layer thus formed. The final step was to examine how generators/attractors affect the spatial clustering of crime before and during the pandemic. These two analyses allowed us to identify variation in those areas with the highest concentration of crime events ("hotspots") that occurred as well as the impact of generators/attractors on the spatial distribution of crimes. The changes in crime patterns as a result of the pandemic restrictions were compared with existing criminological theories.
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