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Kharita Challenges

Problems

Real geospatial problems, graded automatically. Choose a track, a level and what you want to hand in.

1 of 59 problems

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Track
Spatial Analysis1 problemPostGIS / SQL0 problemsPython2 problemsRemote Sensing0 problemsCartography0 problemsWeb GIS0 problemsData Management1 problemGIS Architecture0 problems
Hand in
SQL1 problemPython1 problemGeoJSON3 problemsAnswers0 problemsSchema0 problemsDecisions0 problemsDataset file1 problem
Category
Data preparation0 problemsData quality0 problemsSpatial analysis1 problemRaster analysis0 problemsCartography0 problemsDecision support0 problemsGeospatial systems0 problemsWeb delivery0 problems
  1. Not started, Which countries have no airport in the registry?Spatial analysisPython

    A points-in-polygons count as a script the grader runs: one row per country, zeros kept, on a global registry that misses a lot of places.

    PythonbeginnerDifficulty: beginner150 XP~30 min4 checks

    You hand in a Python script.

    Datasets

    • Countries · MultiPolygon · 241 features · EPSG:4326
    • World airports · Point · 893 features · EPSG:4326

    What you’ll do

    • Read both layers from /data and join points to polygons with a spatial predicate
    • Count per country without losing the countries that count zero
    • Assign the finished GeoDataFrame, one row per country, to result
    GeoPandasspatial joinreproducibilityaviationglobalAlso trains Spatial Analysis
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