Which is the best example of qualitative data used by geographers?

Qualitative data is characterized by non-numerical information that provides insights into the qualities or characteristics of a phenomenon, rather than measurable quantities. In this context, personal descriptions of processes and events serve as the best example of qualitative data. Geographers often rely on such narratives to understand the human experience, cultural practices, social dynamics, and community interactions, all of which provide depth to the analysis of spatial patterns.

On the other hand, the other options represent quantitative data. Census statistics and population density figures involve numerical values that can be statistically analyzed to illustrate demographic trends, while weather data typically consists of numerical readings related to temperature, precipitation, and other measurable variables. These quantitative forms of data are essential for understanding patterns and making predictions but lack the rich context provided by qualitative descriptions. Thus, the choice of personal descriptions aligns with the qualitative nature of the data that geographers often utilize to explore and interpret complex human and environmental interactions.