What type of analysis allows examining relationships between geographic features?

The focus of spatial analysis is to examine the relationships between geographic features, taking into account their locations and arrangements in space. This type of analysis looks at various spatial patterns, distributions, and the interactions that occur between different geographic entities. For example, spatial analysis can reveal how the presence of certain landforms may impact human activities, the distribution of resources, or environmental phenomena.

By utilizing tools and techniques such as Geographic Information Systems (GIS), analysts can visualize and analyze spatial data to better understand complex relationships in a geographic context. This may include mapping data points to determine proximity, assessing patterns over geographical regions, and conducting analyses that consider distance, area, and spatial relationships.

In contrast, while statistical analysis often involves numerical data interpretation, it does not inherently account for the geographic context unless specifically designed to do so. Qualitative analysis focuses on understanding non-numerical data, such as experiences and descriptions, and comparative analysis involves comparing different datasets or studies but does not necessarily emphasize geographic relationships. Therefore, spatial analysis is distinctively positioned to explore and elucidate the interconnectedness of geographic features, making it the correct answer.