Spatial analysis of gunshot reports on Twitter in Mexico City
Fondevila, Gustavo (Center for Research and Teaching of Economics, Division of Legal Studies, Mexico City)
García-Tejeda, Enrique (Center for Research and Teaching of Economics, Mexico City)
Siordia, Oscar S. (Center for Research in Geospatial Information Sciences, Mexico City)

Date:	2021
Description:	19 pàg.
Abstract:	The quarantine and stay-at-home measures implemented by most governments significantly impacted the volume and distribution of crime, and already, a body of literature exists that focuses on the effects of lockdown on crime. However, the effects of lockdown on firearm violence have yet to be studied. Within this context, this study analyzes reports of gunshots in Mexico City registered on Twitter from October 2018 to 2019 (pre-COVID-19) and from October 2019 to 2020 (during COVID-19), using a combination of spatial (nearest neighbor ratio, Ripley's K function and kernel estimation) and non-spatial (Fisher's exact test) methods. The results indicate a spatial concentration of gunshot reports in Mexico City and a reduction in frequency of reports during the pandemic. While they show no change in the overall concentration of gunshots during lockdown, they do indicate an expansion in the patterns of spatial intensity (moving from the west to the center of the city). One possible explanation is the capacity of possible victims of firearm crimes in certain municipalities to comply with lockdown measures and thus avoid exposure to such crimes.
Rights:	Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original.
Language:	Anglès
Document:	Article ; recerca ; Versió publicada
Subject:	COVID-19 ; Gunshots ; Lockdown ; Mexico City ; Point pattern analysis ; Twitter
Published in:	ISPRS international journal of geo-information, Vol. 10 Núm. 8 (2021) , p. 540, ISSN 2220-9964

DOI: 10.3390/ijgi10080540

19 p, 17.5 MB

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