Spatial-temporal data mining involves extracting meaningful patterns and knowledge from data that has both spatial and temporal dimensions, enabling insights into phenomena that change over space and time. This field is crucial for applications such as climate change analysis, urban planning, and transportation management, where understanding the dynamics of data in both space and time is essential.