Oman Marine Tourism Coastal Vessel Route Planner
Oman's rapid expansion in marine tourism requires eco-sensitive vessel routing along Musandam and Dhofar coastal corridors. Build an autonomous GIS route optimization tool using Python and GeoPandas that analyzes coral reef boundaries, seasonal sea state, and vessel draft constraints. Achieve 100% path safety compliance with zero coral reef buffer zone trespassing.
What you are building
Develop a geospatial coastal route planner for Oman marine tourism vessels using GeoPandas and Python.
How work is evaluated
Evaluates geospatial safety and waypoints accuracy for Omani coastal tourism routes.
Datasets
Public datasets, plus the private datasets you have access to.
How submissions are scored
Eco Zone Protection Check
Ensures route does not cross protected marine polygons.
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Route Efficiency Ratio
Ratio of shortest theoretical direct distance to generated eco-compliant distance. • target: 0.9 • range: 0-1
This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.
Learning goals
Process geospatial shapefiles of Omani marine reserves using GeoPandas
Implement A* spatial pathfinding incorporating vessel depth draft limitations
Enforce environmental exclusion zones around coral reefs and marine sanctuaries
Output standardized GeoJSON waypoints for ship navigation systems
Resources
Oman coastline bathymetry, coral reef locations, and maritime protection boundaries.
Challenge setup
Evaluates geospatial safety and waypoints accuracy for Omani coastal tourism routes.
Challenge input
JSON object with start_lat_lon, end_lat_lon, vessel_draft_m, eco_buffer_km
GeoPandas
Required library for processing marine vector shapes.
Evaluated output
JSON object with waypoints array, intersects_protected_zone, distance_km
- Ensures route does not cross protected marine polygons.
- Ratio of shortest theoretical direct distance to generated eco-compliant distance. • target: 0.9 • range: 0-1
- Benchmark: GISNavBench
- Route Efficiency Ratio target: 0.9
- 1 public reference case
- Python execution harness
- Python sandbox (unavailable on Versalist)
Shows the first task, up to three tools, and up to three evidence items.
View technical recipe
Configured tools
- RAI · Required
- Hamming · Optional
- Arize Phoenix · Optional
- Arize Phoenix · Optional
Evaluation contract
- Eco Zone Protection Check · Weight 1
- Route Efficiency Ratio · Weight 1
Metrics
- Route Efficiency Ratio · Target 0.9
Benchmarks
- GISNavBench
- general
Reference cases
- 1 public reference case
Workflow tasks
- Task 1
Input: JSON object with start_lat_lon, end_lat_lon, vessel_draft_m, eco_buffer_km
Output: JSON object with waypoints array, intersects_protected_zone, distance_km
Execution harness: Python
Evaluation tools
- GeoPandas · Geospatial Data Framework
Recipe freeze marker
No recipe freeze time is recorded.