Problems
Real geospatial problems, graded automatically. Choose a track, a level and what you want to hand in.
- Not started, How much of each borough lies below ten metres?Raster analysisGeoJSONSpatial AnalysisintermediateDifficulty: intermediate240 XP~40 min6 checksSpatial AnalysisintermediateDifficulty: intermediate
Threshold a DEM, count inside polygons, and turn pixels into square kilometres on a geographic grid — a flood-screening figure per borough.
You hand in a GeoJSON result.
Datasets
- Greater London elevation (Copernicus DEM GLO-30) · Raster · EPSG:4326
- London boroughs · Polygon · 33 features · EPSG:4326
What you’ll do
- Threshold a continuous raster
- Count the thresholded pixels per polygon
- Convert pixels to ground area on a geographic grid
DEMthresholdzonalpixel areafloodLondonAlso trains Remote SensingOpen problem - Not started, How much of Inner London is a five-minute walk from a dock?Spatial analysisGeoJSONSpatial AnalysisintermediateDifficulty: intermediate240 XP~45 min5 checksSpatial AnalysisintermediateDifficulty: intermediate
Buffer, dissolve and clip: the covered share of each Inner London borough at a 400 m walk.
You hand in a GeoJSON result.
Datasets
- London boroughs · Polygon · 33 features · EPSG:4326
- Santander Cycles docking stations (live snapshot) · Point · 799 features · EPSG:4326
What you’ll do
- Buffer 799 stations by 400 m in a metric CRS
- Dissolve the buffers into one coverage geometry
- Clip the coverage to each Inner London borough
bufferdissolveclipCRStransportLondonAlso trains CartographyOpen problem - Not started, Which boroughs have the least tree cover?Raster analysisGeoJSONRemote SensingintermediateDifficulty: intermediate230 XP~40 min7 checksRemote SensingintermediateDifficulty: intermediate
Zonal statistics on a categorical raster: the share of tree-cover pixels inside each borough polygon, for a tree-planting programme's targeting.
You hand in a GeoJSON result.
Datasets
- Greater London land cover 2021 (ESA WorldCover 10 m) · Raster · EPSG:4326
- London boroughs · Polygon · 33 features · EPSG:4326
What you’ll do
- Compute zonal statistics of a categorical raster over polygons
- Express the class as a share per zone
- Return the polygons ready for a choropleth
zonal statisticsland coverraster–vectorWorldCoverLondonAlso trains Spatial AnalysisOpen problem - Not started, Which capitals are more than an hour from a scheduled airport?Decision supportGeoJSONSpatial AnalysisintermediateDifficulty: intermediate230 XP~40 min5 checksSpatial AnalysisintermediateDifficulty: intermediate
Nearest-neighbour from 200 national capitals to 872 civil airports, geodesically, with a threshold that has to be applied honestly.
You hand in a GeoJSON result.
Datasets
- Populated places · Point · 1,251 features · EPSG:4326
- World airports · Point · 893 features · EPSG:4326
What you’ll do
- Filter the places to national capitals and the airports to civil scheduled-traffic fields
- Find each capital's nearest qualifying airport with a geodesic distance
- Keep the capitals beyond 75 km and report the airport and the distance
nearest neighbourgeodesichaversinelogisticsglobalAlso trains Data ManagementOpen problem