Patterns on maps are not random. Spatial analysis is the set of techniques used to examine the arrangement, relationships, and processes of geographic features. It asks where things are, why they are there, and how they interact across space.

Methods include point-pattern analysis, spatial autocorrelation, network analysis, and overlay operations in GIS. Results help identify disease clusters, optimal facility locations, or accessibility gaps. Both statistical and visual approaches are used.

Spatial analysis has become more powerful with abundant digital data and computing capacity. It supports decision-making in public health, marketing, environmental management, and urban planning. The fundamental insight remains that location and spatial context matter for almost every social and environmental process.

• Examination of geographic patterns and relationships
• Uses statistical and GIS techniques
• Answers questions of location and interaction
• Applied across many practical domains