Interpretation methods refer to the ways in which geographers analyze and make sense of geographic data. These methods involve applying theories, models, statistical tools, and critical thinking skills to extract meaningful insights from collected information.
Related terms
Spatial Analysis: Spatial analysis involves examining patterns and relationships within geographic data using techniques like mapping, clustering analysis, and spatial statistics.
Qualitative Analysis: Qualitative analysis focuses on understanding the meanings behind non-numerical data by identifying themes or patterns.
Statistical Analysis: Statistical analysis uses mathematical techniques to analyze quantitative data and identify trends or relationships between variables.