The crime and place literature has consistently emphasized the importance of understanding spatial patterns of crime using increasingly smaller spatial units of analysis. Despite the growing number of studies that have used this perspective, very few of them have investigated sexual offenses specifically. The current study uses police event data to investigate the spatial distribution of sexual offenses that occurred between January 1, 2016 and December 31, 2018 in Austin, Texas (N = 1381). Disaggregating offenses first by victim age (child versus adult) and then type of sexual act perpetrated (penetration, sexual contact, and sexual non-contact offenses), three measures of spatial clustering, kernel density analyses, and a spatial point pattern test are used. Findings indicate that sexual offenses perpetrated against children and adults are spatially concentrated, but the degree to which they cluster depends upon the type of sexual act committed. Furthermore, within each of these victim profiles, spatial point pattern findings suggest that the street segments (and intersections) affected by sexual crime differ according to the nature of the sexual act committed. Implications for situational crime prevention and policing are discussed.

犯罪和地点文献一直强调使用越来越小的空间分析单元来理解犯罪空间模式的重要性。尽管使用这种观点的研究越来越多，但很少有人专门调查性犯罪。目前的研究使用警察事件数据来调查 2016 年 1 月 1 日至 2018 年 12 月 31 日期间在德克萨斯州奥斯汀 ( N  = 1381)发生的性犯罪的空间分布。首先按受害者年龄（儿童与成人）分类犯罪，然后按性行为类型（插入、性接触和非接触性侵犯）)，使用了空间聚类、核密度分析和空间点模式测试的三种度量。调查结果表明，针对儿童和成人的性犯罪在空间上是集中的，但它们聚集的程度取决于所犯性行为的类型。此外，在这些受害者档案中的每一个中，空间点模式调查结果表明，受性犯罪影响的街道段（和十字路口）因性行为的性质而异。讨论了对情景犯罪预防和警务的影响。