title: Sexual homicide: a spatial analysis of 25 years of deaths in Los Angeles.
abstract: Although it has been frequently studied over the last 100 years, empirical studies of sexual homicide are lacking. The majority of the existing studies have been descriptive in nature. In this study, we consider the spatial geometry of sexual homicide and the impact of time and distance on case solvability. An analysis of sexual homicides (n = 197) from 1980 to 2004 for Los Angeles County was conducted. Offender and victim journey to encounter site, journey to body disposal site, and journey-after-crime trips were examined. Descriptive and bivariate analyses were performed to examine victim, offender and case characteristics. Using logistic regression models both time factors and offense geometries were found to be significant predictors in case solvability. Simpler geometries are significantly more likely to be solved than cases with complex geometries and the longer a case remains unsolved the less likely it is that it will be closed. The results provide support for some of the findings from earlier descriptive studies and extend our understanding of the spatial geometry of sexual homicide.
authors.affiliation: Department of Criminal Justice, Radford University, Radford, VA 24142, USA. ivanpatt@radford.edu
authors.forename: Isaac T
authors.initials: IT
authors.lastname: Van Patten
authors.forename: Paul Q
authors.initials: PQ
authors.lastname: Delhauer
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D002423:Cause of Death; D002648:Child; D002675:Child, Preschool; D019548:Crime Victims; D003417:Criminal Psychology; D005260:Female; D006708:Homicide / Q000706:statistics & numerical data*; D006801:Humans; D007223:Infant; D016015:Logistic Models; D015141:Los Angeles; D008297:Male; D008875:Middle Aged; D044469:Racial Groups / Q000706:statistics & numerical data; D017678:Sex Distribution; D012742:Sex Offenses / Q000706:statistics & numerical data*; D011477:Sex Work / Q000706:statistics & numerical data; D013997:Time Factors