Geospatial data science

Field that involves the analysis and interpretation of data with a geographical or spatial component. It combines aspects of geography, computer science, and data science to analyze spatial data and extract meaningful insights, often using specialized software and tools like QGIS, ArcGIS, and programming languages such as Python and R. Geospatial data science is utilized in applications such as urban planning, environmental monitoring, transportation, and public health, benefiting professionals in these sectors.