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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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Track
Spatial Analysis3 problemsPostGIS / SQL2 problemsPython2 problemsRemote Sensing0 problemsCartography1 problemWeb GIS0 problemsData Management7 problemsGIS Architecture0 problems
Level
Beginner3 problemsIntermediate1 problemAdvanced3 problemsExpert0 problems
Hand in
SQL2 problemsPython2 problemsGeoJSON1 problemAnswers1 problemSchema0 problemsDecisions0 problemsDataset file3 problems
Category
Data preparation7 problemsData quality7 problemsSpatial analysis6 problemsRaster analysis3 problemsCartography1 problemDecision support9 problemsGeospatial systems3 problemsWeb delivery0 problems
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Data ManagementData preparationClear all
  1. Not started, Can the cycle parking feed report real capacity?Data preparationSQL

    Clean a Berlin cycle parking staging table for an operations map and capacity rollup.

    Data ManagementbeginnerDifficulty: beginner130 XP~25 min7 checks

    You hand in a spatial SQL query.

    Dataset

    • Berlin bicycle parking capacity staging · Point · 27 features · EPSG:4326

    What you’ll do

    • Resolve source precedence before casting.
    • Keep unknown capacity distinct from zero.
    • Return geometry for the operational map.
    data-preparationberlinsqlAlso trains PostGIS / SQL
    Open problem
  2. Not started, Make the pharmacy handover loadableData preparationPython

    Repair a field table so a Paris health directory can map its pharmacy locations reliably.

    Data ManagementbeginnerDifficulty: beginner125 XP~25 min6 checks

    You hand in a Python script.

    Dataset

    • Raw Paris pharmacy handover · Table · 21 rows · EPSG:4326

    What you’ll do

    • Parse and validate coordinates before constructing point geometry.
    • Preserve the first source record for each reference.
    • Deliver a typed, spatially plausible point layer.
    data-preparationcoordinatesquality-controlparisAlso trains Python
    Open problem
  3. Not started, Package one playground location per source featureData preparationDataset file

    Turn mixed playground points and areas into a projected GeoPackage site directory.

    Data ManagementbeginnerDifficulty: beginner130 XP~30 min6 checks

    You hand in a prepared dataset file.

    Dataset

    • Sydney playground mixed-geometry source · Point · 8 features · EPSG:4326

    What you’ll do

    • Convert mixed source geometry into a consistent site layer.
    • Reproject coordinates to the receiving metric CRS.
    • Package exact schema and layer name in GeoPackage.
    data-preparationsydneyfileAlso trains Spatial Analysis
    Open problem
  4. Not started, Protect the bus stop key during the loadData preparationSQL

    Recover zero-padded stop identifiers before a transport timetable join.

    Data ManagementintermediateDifficulty: intermediate210 XP~40 min7 checks

    You hand in a spatial SQL query.

    Dataset

    • Singapore bus stop code staging · Point · 31 features · EPSG:4326

    What you’ll do

    • Preserve identifier semantics through SQL casting.
    • Resolve repeated source rows deterministically.
    • Return a clean point layer for the timetable join.
    data-preparationsingaporesqlAlso trains PostGIS / SQL
    Open problem
  5. 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
  6. Not started, Deliver an access-safe public toilet layerData preparationDataset file

    Classify access honestly and deliver a typed projected GeoPackage without null locations.

    Data ManagementadvancedDifficulty: advanced365 XP~55 min6 checks

    You hand in a prepared dataset file.

    Dataset

    • Amsterdam toilet access staging · Point · 14 features · EPSG:4326

    What you’ll do

    • Distinguish missing access from public access.
    • Preserve first-source precedence and drop null geometry.
    • Deliver a named GeoPackage in the receiving CRS.
    data-preparationamsterdamfileAlso trains Spatial Analysis
    Open problem
  7. Not started, Repair the park intake without losing its second partData preparationPython

    Repair an invalid park outline while preserving every valid polygon component.

    Data ManagementadvancedDifficulty: advanced370 XP~55 min6 checks

    You hand in a Python script.

    Dataset

    • Cape Town park polygons, geometry intake · Polygon · 11 features · EPSG:4326

    What you’ll do

    • Repair topology without discarding area.
    • Handle null geometry and source precedence before release.
    • Deliver a uniform polygon type.
    data-preparationcape townpythonAlso trains Python
    Open problem