Spatial Data Aggregation

Spatial data aggregation involves combining or summarizing detailed geographic information, such as individual locations or measurements, into larger, more manageable units like neighborhoods or regions. This process helps identify broader patterns or trends, making complex spatial data easier to analyze and interpret. For example, instead of examining every individual store's sales, aggregation might reveal average sales per district. It streamlines vast geographic data sets, facilitating decision-making, resource allocation, and geographic analysis at a scale that balances detail and clarity.