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Spatio-Temporal Mapping of Violence Against Women

An Urban Geographic Analysis Based on 911 Emergency Reports in Monterrey

Bibliographic Data

ID22034871
AuthorsOnel Pérez-Fernández (0000-0002-3141-2054, Universidad de Panamá), Octavio Quintero Ávila (0000-0003-3922-9964, Universidad Autónoma de Nuevo León, corresponding author), Carolina Barros (0000-0002-2904-9073, Universidad Complutense de Madrid), Gregorio Rosario Michel (0000-0002-9325-2121, Universidad Autónoma de Santo Domingo)
Year2025
Volume14
Issue10
Pages367
Publication date2025-09-23
Open AccessYes
TypeARTICLE
VenueISPRS International Journal of Geo-Information (JOURNAL)
Journal identifiersISSN: 2220-9964 • E-ISSN: 2220-9964
PublisherMDPI AG (PUBLISHER • IT)
DOI10.3390/ijgi14100367
OpenAlexW4414448658
LanguageEN
Citations received1
References cited42

In Latin American cities, violence against women (VAW) remains critical for public health, well-being, and safety. This phenomenon is influenced by social, political, and environmental drivers. VAW is not randomly distributed; built environments—geography, ambient population, and street networks—influence criminal through spatial dependence across multiple scales. Despite growing interest in the spatial distribution of crime, few studies have explicitly explored the spatiotemporal dimensions of VAW in Monterrey. This study explores spatio-temporal patterns of VAW in Monterrey, Mexico, based on the analysis of 27,036 georeferenced and verified emergency reports from the 911 system (2019–2022). The study applies kernel density estimation (KDE), the Getis–Ord Gi* statistics, the Local Moran I index, and space–time cube analysis to identify spatial and temporal clusters of VAW. The results show concentrations of incidents during nighttime and weekends, particularly in northern and eastern sectors in Monterrey. The analysis reveals clusters in areas of high socioeconomic vulnerability. VAW in Monterrey follows predictable and cyclical patterns. These insights contribute to the design of tailored public policies and actions to improve women’s health, well-being, and safety in critical zones and timeframes. The findings also enhance international understanding of gender-based spatial violence patterns in the rapidly urbanizing contexts of the Global South

Geographic information system · Georeference · Kernel density estimation · Latin Americans · Socioeconomic status · Spatial analysis · Spatial distribution · Crime Patterns and Interventions

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    Open Access•Nancy L Harris, Elizabeth Dow Goldman et al.•Environmental Research Letters•2017

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  • Social Change and Crime Rate Trends

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Citations per year1
Citation span2025 - 2025 (1)
Highly citedNo

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