| Feature | Quantitative Data | Qualitative Data |
|---|---|---|
| Nature | Objective and Statistical | Subjective and Descriptive |
| Examples | Census, Crime Rates | Art, Stories, Music |
| Strength | High Comparability | Deep Emotional Insight |
| Weakness | Can lack 'human' context | Difficult to generalize |
Geospatial vs. Demographic: Geospatial data focuses on the 'where' (location-based trends), while demographic data focuses on the 'who' (characteristics of the population like age or income).
When analyzing a representation, always ask: Who created this and why? Identifying the author's purpose is essential for evaluating bias in both maps and media.
Always look for Source Limitations; in exam questions, marks are often awarded for identifying what a specific data set cannot tell you about a place.
Use the concept of Comparability to justify why quantitative data is useful for studying change over time, such as using census records from different decades.
Verify the Scale of the data; remember that geospatial data might show a positive trend for a whole city while hiding pockets of deprivation at the neighborhood level.
A common mistake is assuming that Cartographic Data (maps) are entirely objective; in reality, they are 'social constructions' influenced by the priorities of the organization that produced them.
Students often overlook the value of Qualitative Data, viewing it as 'lesser' than statistics, but it is vital for understanding the lived experience and sense of place that numbers cannot capture.
Confusing Demographic Data with Geospatial Data is frequent; remember that demographics describe the people, while geospatial data describes the