Spatial Data Mining
Spatial Data Mining involves the extraction of patterns and knowledge from large datasets that have a spatial component. This type of data mining focuses on uncovering relationships and trends within geographic information, such as maps, satellite imagery, and GPS coordinates. By analyzing spatial data, researchers and analysts can gain insights into various phenomena, including urban planning, environmental monitoring, and transportation logistics.