Homelessness is a complex and diverse social issue that affects many urban areas in the United States. Robust knowledge of how and where homeless individuals subsist is essential for an assessment of the granular spatiotemporal context of homelessness in a given locale. Common means for surveying homeless rest sites are resource intensive and conducted infrequently, which warrants investigations into complementary approaches. In this article, we examine the spatial patterns of homeless campsites in Portland, Oregon, and their relationship to urban features based on a three-year data set of reports volunteered by members of the public. Our quantitative analysis employs a combination of spatial analysis, statistical methods, and cartographic mapping to determine prevailing spatial patterns and proximity relationships. In that context, we assess the characteristics of the volunteered data in terms of their suitability for capturing expected local patterns of homeless campsites. The data indicate concentrations of reported campsites and significant spatial proximity relationships between campsite locations, zoning, transit stops, and homelessness support services. Our findings evidence the utility of the volunteered data for the analysis of urban homeless campsite locations on an annual basis. We further discuss the limitations of the data and provide suggestions for improvements and future research.

无家可归是一个复杂而多样的社会问题，影响着美国的许多城市地区。对无家可归者生存方式和地点的深入了解对于评估特定地区无家可归者的具体时空背景至关重要。调查无家可归者休息场所的常用方法是资源密集型且不经常进行，因此需要对补充方法进行调查。在本文中，我们根据公众自愿报告的三年数据集研究了俄勒冈州波特兰市无家可归者营地的空间模式，以及它们与城市特征的关系。我们的定量分析结合了空间分析、统计方法和制图来确定主要的空间模式和邻近关系。在这种情况下，我们根据自愿数据的特征来评估其是否适合捕捉当地无家可归者营地的预期模式。数据表明报告的露营地的集中度以及露营地位置、分区、中转站和无家可归者支持服务之间的显着空间邻近关系。我们的研究结果证明了自愿数据在每年分析城市无家可归者营地位置方面的效用。我们进一步讨论了数据的局限性，并为改进和未来研究提供了建议。和无家可归者支持服务。我们的研究结果证明了自愿数据在每年分析城市无家可归者营地位置方面的效用。我们进一步讨论了数据的局限性，并为改进和未来研究提供了建议。和无家可归者支持服务。我们的研究结果证明了自愿数据在每年分析城市无家可归者营地位置方面的效用。我们进一步讨论了数据的局限性，并为改进和未来研究提供了建议。