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carthorse

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A geospatial trail data processing pipeline for building 3D trail databases with elevation data

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import { Client } from 'pg'; /** * Build the master database using SQL/PostGIS and OSM loader. * @returns {Promise<void>} */ export declare function buildMasterDatabase(): Promise<void>; /** * Calculate adaptive tolerance for geometry simplification using SQL/PostGIS. * @param trails * @param targetSizeMB * @returns {Promise<number>} */ export declare function calculateAdaptiveTolerance(trails: any[], targetSizeMB: number): Promise<number>; /** * Estimate database size using SQL/PostGIS. * @param trails * @returns {Promise<number>} */ export declare function estimateDatabaseSize(trails: any[]): Promise<number>; /** * Simplify geometry and return point counts using SQL/PostGIS. * @param wkt * @param tolerance * @returns {Promise<{ simplified: string; originalPoints: number; simplifiedPoints: number }>} */ export declare function simplifyGeometryWithCounts(wkt: string, tolerance: number): Promise<{ simplified: string; originalPoints: number; simplifiedPoints: number; }>; /** * Calculate distance between two coordinates using SQL/PostGIS (ST_Distance). * @param coord1 * @param coord2 * @returns {Promise<number>} */ export declare function calculateDistance(coord1: [number, number], coord2: [number, number]): Promise<number>; /** * Create the canonical routing_edges table in the given schema with all required columns and constraints. */ export declare function createCanonicalRoutingEdgesTable(pgClient: any, schemaName: string): Promise<void>; export declare function cleanupStaging(pgClient: Client, stagingSchema: string): Promise<void>; export declare function logSchemaTableState(pgClient: Client, stagingSchema: string, context: string): Promise<void>; //# sourceMappingURL=postgres-schema-helpers.d.ts.map