Geography workshops

Build reproducible marine analyses by combining habitat, oceanographic, biodiversity and human-activity data in R. Practical sessions work with bathymetry and benthic habitats, three-dimensional and time-varying ocean observations, species records and distribution resources, animal movements and fisheries data. Participants connect these sources with marine protected areas and jurisdictional boundaries to address conservation and spatial-planning questions. Sessions: 3–6 November, 15:00–18:00 each day, Europe/Berlin (CET, UTC+01:00). Live online training; fee €430. Basic R knowledge is required; aimed at marine researchers and conservation practitioners.

Turn multispectral, hyperspectral and lidar observations into analysis-ready datasets with R. Using forest and ecological examples, participants assess metadata and data quality, correct geometric and radiometric errors, reduce noise, and derive spectral indices and structural features. Exercises connect temporal change analysis and classification with scale, accuracy and uncertainty, producing reproducible workflows for spatial research. 2026-11-10–2026-11-13, 12:00–16:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €420. Participants need basic competence and confidence in R and RStudio; prior remote-sensing experience is optional.

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 own spatial data. 23–27 November 2026, daily 15:00–18:00, Europe/Madrid (CET, UTC+1). Fifteen live hours plus 20 hours of exercises; instructor consultations 09:00–21:00. Spoken Spanish with English slides and scripts; prior R experience required. Sixteen places. Regular fee EUR 485, or EUR 388 for Ambassador Institutions. Live attendance is required for the certificate. Payment follows acceptance; advertised fees include VAT.

Create reproducible maps and perform GIS operations with R and the terra package. Working with raster and vector data, participants develop static, thematic, animated and interactive maps, then apply projections, clipping, resampling, buffers, intersections, zonal statistics and distance calculations. Environmental, geological and biodiversity examples connect visualization with spatial analysis, and participants may bring their own data. 2027-01-11–2027-01-15, 15:00–18:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €480. User-level R skills are required; prior GIS experience is optional. Annotated self-guided exercises complement live sessions. The full course costs €480; mapping and GIS components can also be booked separately at €270 each.

Build and evaluate correlative species-distribution and ecological-niche models with R. The course connects niche theory with occurrence-data quality, environmental predictors, model fitting and validation, then examines spatial and temporal projections and their limitations. Participants learn to recognize common modelling pitfalls, automate reproducible analyses and apply workflows to example or personal species datasets. 2027-02-01–2027-02-05, 15:00–18:00 daily, Europe/Berlin (CET, UTC+01:00). Online course; fee €480. Basic R knowledge is strongly recommended. Live classes are complemented by about four hours of independent work daily and annotated scripts, with remote support available between 09:00 and 23:00 Berlin time.

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 15:00–18:00, Europe/Madrid (CET, UTC+1). Fifteen live hours plus seven hours of individual work. English; no previous GIS experience required. Sixteen places. EUR 366 through 31 December 2026, then EUR 445; Ambassador Institution fees EUR 292.80 and EUR 356, respectively. Live attendance is required for the certificate. Payment follows acceptance; advertised fees include VAT.

Participants turn GEDI spaceborne LiDAR footprints into maps useful for ecological research. The course covers waveform and product interpretation, data-quality filtering and QGIS workflows, followed by models combining GEDI measurements with multispectral, radar and geospatial foundation-model predictors. Practical work produces continuous estimates of canopy structure and biomass with uncertainty, then explores forest disturbance, recovery and species distribution modelling in R. Live teaching runs 14:00–17:00 Berlin time. The listed course package costs €380.