👉 Range computing, also known as range-based or spatial computing, is a paradigm that focuses on processing and analyzing data based on its spatial location or range rather than its precise identity. This approach is particularly useful in scenarios where the exact location of data points is less critical than their proximity or relative positions. For instance, in geographic information systems (GIS), range computing allows for efficient querying and analysis of spatial data, such as identifying all points within a certain distance from a given location or determining the shortest path between two points. By leveraging spatial relationships and proximity, range computing optimizes data processing tasks, reduces computational complexity, and enhances performance in applications like autonomous navigation, environmental monitoring, and location-based services.
