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geolocation-distance-filter

geolocation-distance-filter

When the user needs to filter locations based on proximity to a reference point within a specified radius. This skill geocodes addresses to coordinates, calculates distances between locations, and filters results based on maximum distance thresholds. Triggers include 'within X km/miles of', 'distance from', 'near location', 'proximity filter', or when locat…

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Documentation de la Skill

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name: geolocation-distance-filter description: When the user needs to filter locations based on proximity to a reference point within a specified radius. This skill geocodes addresses to coordinates, calculates distances between locations, and filters results based on maximum distance thresholds. Triggers include 'within X km/miles of', 'distance from', 'near location', 'proximity filter', or when location-based filtering is required for job applications, real estate, or service area analysis.

Geolocation Distance Filter

Purpose

Filter a list of items based on the geographic distance of their locations from a specified reference point. This is essential for location-based queries like finding jobs, properties, or services within a certain radius.

Core Workflow

  1. Identify Reference Point: Determine the central location (e.g., "UCLA", "downtown office") and the maximum allowed distance (e.g., "within 500 km").
  2. Geocode Reference: Convert the reference point's address into latitude/longitude coordinates using the google_map-maps_geocode tool.
  3. Extract Target Items: Obtain the list of items to filter (e.g., from a database query). Each item must have a location field.
  4. Geocode & Calculate: For each candidate item:
    • Geocode its location address.
    • Calculate the distance from the reference coordinates using the Haversine formula (see scripts/distance_calculator.py).
  5. Apply Filter: Retain only items where the calculated distance is less than or equal to the specified maximum radius.
  6. Return Results: Output the filtered list and the calculated distances for context.

Key Instructions

  • Precision: Always use the google_map-maps_geocode tool for reliable coordinate conversion. Do not assume distances.
  • Unit Consistency: Ensure the maximum distance threshold and the calculated distances are in the same units (kilometers by default). Convert if necessary (1 mile = 1.60934 km).
  • Error Handling: If geocoding fails for an item, log it and exclude it from the filtered results, noting the issue.
  • Integration: This filter is typically one step in a larger workflow (e.g., filter jobs, then apply other criteria like salary).

Common Triggers

  • "Find [items] within [X] km/miles of [location]"
  • "Which [items] are closest to [reference point]?"
  • "Filter these results by distance from [address]"
  • "Show only [items] in the [area] area"
  • Implied need when location is a critical constraint (e.g., "commutable jobs", "nearby stores").

Bundled Resources

  • scripts/distance_calculator.py: Contains the calculate_distance function for accurate distance computation.
  • references/haversine_formula.md: Explanation of the distance calculation method.
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