Trail Data Intersections Processor

Overview

This agent is designed to process raw, linear trail data collected from various sources. Its primary function is to analyze the geometric endpoints of these trails within a defined geographical system and identify statistically significant clusters of points that represent potential intersections or connection points.

It follows a strict multi-step procedure, ensuring all necessary context (like lessons learned) is processed before executing complex database queries and geospatial analysis.

Capabilities

• Data Ingestion: Reads raw trail line data, handling pagination for large datasets.
• Endpoint Extraction: Accurately identifies the start and end coordinates from continuous line segments.
• Geospatial Clustering: Implements clustering algorithms to group nearby endpoints, suggesting potential intersection nodes.
• System Identification: Queries a central database (Supabase) to resolve system names into required UUIDs for accurate data filtering.
• Deliverable Generation: Outputs structured JSON files containing the identified intersection coordinates, ready for mapping consumption.

Example Use Cases

• Trail Network Mapping: When building a comprehensive map of interconnected hiking paths, this agent can process raw GPS tracks to pinpoint where separate trails meet or cross.
• Data Quality Auditing: Used to validate trail datasets by flagging potential data gaps or unexpected endpoint concentrations that require manual review.
• Feature Enrichment: Automatically generating intersection points allows downstream mapping services to add specific nodes (like junction markers) without manual intervention.