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Challenge

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.

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Challenge brief

What you are building

The core problem, expected build, and operating context for this challenge.

Develop a geospatial coastal route planner for Oman marine tourism vessels using GeoPandas and Python.

Delivery guide

How work is evaluated

Evaluation

Evaluates geospatial safety and waypoints accuracy for Omani coastal tourism routes.

Datasets

Challenge datasets

Public datasets, plus the private datasets you have access to.

Evaluation rubric

How submissions are scored

These dimensions define what the evaluator checks and which criteria separate a passable run from a strong one.

Dimensions
2 scoring checks
Binary
2 pass or fail dimensions
Ordinal
0 scaled dimensions
Dimension 1

Eco Zone Protection Check

Ensures route does not cross protected marine polygons.

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Dimension 2

Route Efficiency Ratio

Ratio of shortest theoretical direct distance to generated eco-compliant distance. • target: 0.9 • range: 0-1

Binary check

This dimension contributes its full weight only when the submission satisfies the requirement. Partial credit is not awarded.

Learning goals

What you should walk away with

  • 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 and assets

Reference links and supporting material

Dataset notes

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

Evaluation checks
  • 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
Configured evaluation evidence
  • Benchmark: GISNavBench
  • Route Efficiency Ratio target: 0.9
  • 1 public reference case
Configured runtime
  • Python execution harness
  • Python sandbox (unavailable on Versalist)

Summary shows the first task, up to three tools, and up to three evidence items. Open the technical recipe to view all configured items.

View technical recipe

Configured tools

Action Space
  • RAI · Required
  • Hamming · Optional
Observation
  • Arize Phoenix · Optional
Reward / Eval
  • 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

  1. 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.

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