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Kharita Challenges

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

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Spatial Analysis1 problemPostGIS / SQL0 problemsPython0 problemsRemote Sensing0 problemsCartography1 problemWeb GIS0 problemsData Management1 problemGIS Architecture0 problems
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Beginner0 problemsIntermediate0 problemsAdvanced1 problemExpert0 problems
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SQL0 problemsPython0 problemsGeoJSON1 problemAnswers1 problemSchema0 problemsDecisions0 problemsDataset file3 problems
Category
Data preparation1 problemData quality1 problemSpatial analysis0 problemsRaster analysis1 problemCartography3 problemsDecision support3 problemsGeospatial systems0 problemsWeb delivery1 problem
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Spatial AnalysisData preparationAnswersClear all
  1. Not started, Deliver a field-ready public asset registerProjectData preparation4 steps

    Merge two open asset extracts into a quality-controlled GeoPackage for field inspection.

    Data ManagementadvancedDifficulty: advanced600 XP~105 min17 checks

    Worked in 4 steps, each checked before the next one opens.

    1. Audit both incoming sources · Answers
    2. Build the common asset model · Dataset file
    3. Verify and round coordinates · GeoJSON
    4. Package and verify the handover · Dataset file

    Datasets

    • Melbourne toilet source · Point · 7 features · EPSG:4326
    • Melbourne drinking-water source · Point · 21 features · EPSG:4326

    What you’ll do

    • Profile and reconcile two source layers without multiplying assets.
    • Normalise access without representing unknown status as public.
    • Deliver a reproducible, typed WGS 84 GeoPackage handover.
    data-preparationprojectgeopackagemelbournehandoverAlso trains Spatial Analysis, Cartography
    Open project