Topic: raster data

Build reproducible maps and spatial analyses of biodiversity and environmental data using R’s terra package. Practical work covers vector and raster data, projections, thematic and interactive maps, spatial queries, geometry operations and layer transformations. Participants calculate distances, buffers and home ranges, examine terrain and spatial autocorrelation, and combine raster and vector information through extraction, interpolation, map algebra and zonal statistics. Demonstrations and supervised exercises support automated workflows for research datasets; participants may bring their ow

Learn geographic information systems through QGIS, with applications for biology, environmental sciences and other disciplines requiring spatial analysis. Guided demonstrations and exercises cover coordinate systems, vector and raster data, layer management and symbology. Participants perform spatial queries, clipping, intersections, buffers and area calculations, then use raster calculations and extract values for vector features. The course develops cartographic layout and export skills through a thematic map assembled progressively into a final project. 1, 3, 5, 8 and 10 March 2027, each 1