Geospatial Data Mining
Geospatial Data Mining involves the process of extracting patterns, trends, and valuable insights from large spatial datasets. It combines techniques from data mining, geographic information systems (GIS), and spatial analysis to uncover hidden relationships and patterns within geospatial data. By applying advanced algorithms and statistical methods, geospatial data mining helps in making informed decisions, predicting future trends, and optimizing resource allocation in various fields such as urban planning, environmental management, and disaster response.