feat: extraccion masiva footprint_aurgi (41 funcs + 4 types + stack Docker geo)

Extrae al registry funciones del proyecto interno footprint_aurgi:
- core (6): slugify_ascii, normalize_for_join, cp_provincia_es, infer_provincia_from_cp, safe_read_csv_fallback, csv_to_parquet_duckdb
- geo puras (7): haversine_km, point_in_ring, point_in_polygon, point_in_polygons_bbox, polygon_bbox, extent_with_padding, distance_bucket
- geo I/O (4): load_geojson_polygons, load_boundary_gdf, add_basemap_osm, add_basemap_with_timeout
- valhalla client (4): valhalla_route, valhalla_isochrone, valhalla_isochrones_async, valhalla_matrix_1_to_n
- datascience stats (7): trimmed_mean, geometric_mean, detect_distribution_type, best_central_tendency, summary_stats, kde_density_levels, alpha_shape_concave_hull
- datascience fuzzy (3): fuzzy_merge_adaptive (rapidfuzz), words_to_dataset, remove_words_from_column
- datascience viz (2): plot_kde_2d, plot_heatmap_log
- infra (4): compress_pdf_ghostscript, render_table_page_pdfpages, add_header_logo, osm2pgsql_ingest
- pipelines (4): setup_geo_stack_docker, compute_centers_reachability, generate_isochrones_by_zone, count_points_per_zone
- types geo (4): LonLat, BBox, IsochroneRequest, Centro

Incluye:
- apps/footprint_geo_stack/ (PostGIS + Martin + Valhalla via docker-compose)
- 131/132 tests pasan (1 skip esperado: osm2pgsql en PATH)
- Issue tracker dev/issues/0052-footprint-aurgi-extraction.md
- Atribucion uniforme: source_repo internal:footprint_aurgi, source_license internal-aurgi
- Build con 9 agentes en paralelo (8 wave 1 + 1 wave 2 pipelines)

Tambien commitea trabajo previo no commiteado: aggregate_extraction_results, chunk_with_overlap, clean_pdf_text, merge_entity_aliases, extract_graph_gliner2, extract_relations_mrebel, extract_triples_spacy_es, gliner2/mrebel/marianmt/rebel/spacy_es load_model, parse_rebel_output, translate_es_to_en, issue 0050/0051.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>

python/functions/geo/load_boundary_gdf.py

@@ -0,0 +1,40 @@
+"""Load a GeoJSON boundary as a GeoDataFrame with normalized CRS."""
+
+from __future__ import annotations
+
+from pathlib import Path
+
+
+def load_boundary_gdf(
+    path: "str | Path",
+    crs: str = "EPSG:4326",
+) -> "GeoDataFrame":
+    """Load a GeoJSON file as a GeoDataFrame with a normalized CRS.
+
+    Args:
+        path: Path to the GeoJSON file.
+        crs: Target CRS string (e.g. "EPSG:4326"). If the file has no CRS
+            set, it is assigned this CRS. If the file already has a CRS,
+            it is reprojected to this CRS.
+
+    Returns:
+        GeoDataFrame with the requested CRS set.
+
+    Raises:
+        FileNotFoundError: If the file does not exist.
+        fiona.errors.DriverError: If the file is not a valid GeoJSON.
+    """
+    import geopandas as gpd  # type: ignore
+
+    p = Path(path)
+    if not p.exists():
+        raise FileNotFoundError(f"GeoJSON file not found: {p}")
+
+    gdf = gpd.read_file(str(p))
+
+    if gdf.crs is None:
+        gdf = gdf.set_crs(crs)
+    else:
+        gdf = gdf.to_crs(crs)
+
+    return gdf