Spatial data mining involves the extraction of implicit knowledge, spatial relationships, or other patterns not explicitly stored in spatial databases. It is crucial for applications such as geographic information systems, environmental studies, and urban planning, where understanding spatial patterns is essential for decision-making and predictions.