Problems
Real geospatial problems, graded automatically. Choose a track, a level and what you want to hand in.
- Not started, How big does Web Mercator make Greenland?CartographyAnswersCartographyintermediateDifficulty: intermediate210 XP~30 min4 checksCartographyintermediateDifficulty: intermediate
Put a number on the most famous distortion in cartography: the same countries measured on the ellipsoid and on the projection every web map uses.
You hand in your answers as values.
Dataset
- Countries · MultiPolygon · 241 features · EPSG:4326
What you’ll do
- Measure area geodesically or in an equal-area projection
- Project the same polygons to Web Mercator and take their planar area
- Express the distortion as ratios a reader can repeat
Web Mercatorprojectionarea distortionEqual EarthglobalAlso trains Spatial AnalysisOpen problem - Not started, The buffer that shrank on the way to the mapCartographyAnswersCartographyintermediateDifficulty: intermediate200 XP~30 min4 checksCartographyintermediateDifficulty: intermediate
Quantify what a 400 m buffer drawn in EPSG:3857 actually covers on the ground in London, and how much of the coverage report it loses.
You hand in your answers as values.
Datasets
- Santander Cycles docking stations (live snapshot) · Point · 799 features · EPSG:4326
- London boroughs · Polygon · 33 features · EPSG:4326
What you’ll do
- Derive the Web Mercator scale factor at London's latitude
- Translate a projected buffer distance into its ground equivalent
- Re-run the coverage analysis with the shrunken buffer and measure the shortfall
Web Mercatorscale factorprojectionbufferLondonAlso trains Spatial AnalysisOpen problem - Not started, Classify a map where most of the values are zeroCartographyAnswersCartographyadvancedDifficulty: advanced290 XP~45 min6 checksCartographyadvancedDifficulty: advanced
Quantile breaks collapse on a distribution dominated by zeros. Measure how, on the river-kilometres-per-country table, and say what a map maker should do instead.
You hand in your answers as values.
Datasets
- Countries · MultiPolygon · 241 features · EPSG:4326
- Rivers and lake centrelines · LineString · 461 features · EPSG:4326
What you’ll do
- Reproduce a derived per-country measure
- Compute quantile and equal-interval breaks on a zero-heavy distribution
- Quantify how each scheme distributes the countries
choroplethclassificationquantileszero-inflatedhydrologyAlso trains Python, Spatial AnalysisOpen problem