Date of Award

Spring 5-7-2026

Document Type

Honors Thesis

Department/Major

Computer Science

First Advisor

Dr Lina Chato

Second Advisor

Dr Jing Williams

Third Advisor

Betty Mozak

Keywords

Intimate Partner Violence (IPV), Temporal Analysis, Spatial Analysis, Socioeconomic Factors, Crime Data Analysis, Los Angeles

Abstract

This study examines temporal, spatial, and socioeconomic patterns of intimate partner violence (IPV) in Los Angeles using a quantitative, data-driven approach. Crime data from the Los Angeles Open Data Portal were analyzed alongside median household income data from the U.S. Census Bureau to identify patterns across time, location, and economic conditions. IPV incidents were filtered from the dataset and analyzed using descriptive statistics, data visualization, and statistical modeling techniques. The results indicate that IPV incidents exhibit consistent temporal patterns, with higher frequencies observed during evening hours and on weekends. Monthly and seasonal analyses show variation in overall incident levels, but the underlying daily structure remains stable. Spatial analysis reveals that IPV incidents are concentrated in specific Los Angeles Police Department divisions, with certain areas consistently reporting higher levels of activity. Socioeconomic analysis further identifies a negative relationship between median household income and IPV incident counts, with lower-income areas generally experiencing higher levels of reported IPV. These findings suggest that IPV is influenced by a combination of routine activities, geographic concentration, and socioeconomic conditions. While the analysis is limited to reported incidents and does not capture the full extent of IPV, it provides a structured view of observable patterns at scale. The results highlight the importance of considering multiple dimensions when analyzing domestic violence and support the use of data-driven approaches to inform intervention strategies.

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