Qualitative activity space data, i.e. qualitative data associated with the routine locations and activities of individuals, are recognized as increasingly useful by researchers in the social and health sciences for investigating the influence of environment on human behavior. However, there has been little research on techniques for exploring qualitative activity space data. This research illustrates the theoretical principles of combining qualitative and quantitative data and methodologies within the context of geographic information systems (GIS), using visualization as the means of inquiry. Through the use of a prototype implementation of a visualization system for qualitative activity space data and its application in a case study of urban youth we show how these theoretical methodological principles are realized in applied research. The visualization system uses a variety of visual variables to simultaneously depict multiple qualitative and quantitative attributes of individuals' activity spaces. The visualization is applied to explore the activity spaces of a sample of urban youth participating in a study on the geographic and social contexts of adolescent substance use. Examples demonstrate how the visualization can be used to explore individual activity spaces to generate hypotheses, investigate statistical outliers, and explore activity space patterns among subject subgroups.

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定性 GIS 与叙事活动空间数据的可视化

定性活动空间数据，即与个人日常位置和活动相关的定性数据，被社会和健康科学领域的研究人员认为越来越有用，用于调查环境对人类行为的影响。然而，关于探索定性活动空间数据的技术的研究很少。本研究阐述了在地理信息系统 (GIS) 背景下将定性和定量数据和方法相结合的理论原理，使用可视化作为查询手段。通过使用用于定性活动空间数据的可视化系统的原型实现及其在城市青年案例研究中的应用，我们展示了如何在应用研究中实现这些理论方法论原则。可视化系统使用多种视觉变量同时描绘个体活动空间的多个定性和定量属性。应用可视化来探索参与青少年物质使用地理和社会背景研究的城市青年样本的活动空间。示例演示了如何使用可视化来探索单个活动空间以生成假设、调查统计异常值以及探索主题子组之间的活动空间模式。应用可视化来探索参与青少年物质使用地理和社会背景研究的城市青年样本的活动空间。示例演示了如何使用可视化来探索单个活动空间以生成假设、调查统计异常值以及探索主题子组之间的活动空间模式。应用可视化来探索参与青少年物质使用地理和社会背景研究的城市青年样本的活动空间。示例演示了如何使用可视化来探索单个活动空间以生成假设、调查统计异常值以及探索主题子组之间的活动空间模式。