Spatial granularity refers to the level of detail or resolution in a spatial dataset. It indicates how finely a geographic area is divided or represented. For example, a map showing cities has a coarser granularity than one showing individual streets, as the latter provides more specific information about the area. In various fields, such as geography and data analysis, spatial granularity is crucial for understanding patterns and making decisions. Higher granularity allows for more precise insights, while lower granularity can simplify data interpretation but may overlook important details.