Information describing characteristics rather than numerical measurements is central to understanding various aspects of human geography. This type of information often explores the “why” behind human actions and spatial distributions. Examples include interview transcripts detailing residents’ perceptions of neighborhood safety, field observations noting the architectural styles in a specific region, or textual analysis of government policies impacting migration patterns. These non-numerical details provide a deeper contextual understanding that complements quantitative analysis.
The value of this form of data lies in its ability to uncover nuanced perspectives and detailed insights, enhancing the comprehension of complex spatial phenomena. Historically, qualitative research methods have been used to explore cultural landscapes, analyze the impact of globalization on local communities, and assess the effectiveness of development initiatives. This type of data allows researchers to develop theories and hypotheses by gaining in-depth understanding of the spatial processes.