First commit

scripts/overlay/city-road2-geojson-generate.py

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+#!/usr/bin/env python3
+"""
+geopandasconvert_fixed.py
+BoopLabs Pupmap Europe/Nordics GeoJSON generator
+Version: 2025-10-03
+"""
+
+import geopandas as gpd
+
+# ---------- User paths ----------
+cities_shp = "ne_10m_populated_places.shp"
+roads_shp  = "ne_10m_roads.shp"
+output_dir = "/mnt/storage/docker-data/pupmap/www/data/sources/"
+
+# ---------- Europe + Nordics filter ----------
+europe_nordics = [
+    'ALB','AND','AUT','BEL','BIH','BGR','HRV','CYP','CZE','DNK','EST','FIN','FRA','DEU',
+    'GRC','HUN','ISL','IRL','ITA','LVA','LTU','LUX','MLT','MDA','MCO','MNE','NLD','NOR',
+    'POL','PRT','ROU','RUS','SMR','SRB','SVK','SVN','ESP','SWE','CHE','UKR','GBR','VAT'
+]
+
+# ---------- Convert cities ----------
+print("Processing cities...")
+
+cities = gpd.read_file(cities_shp)
+
+# Keep only Europe/Nordics
+cities_filtered = cities[cities['ADM0_A3'].isin(europe_nordics)].copy()
+
+# Ensure expected properties exist
+cities_filtered = cities_filtered.rename(columns={
+    'NAME': 'name',
+    'ADM0NAME': 'country',
+    'POP_MAX': 'population'
+})
+
+# Keep only required columns
+cities_filtered = cities_filtered[['name','country','population','geometry']]
+
+# Save to GeoJSON
+cities_geojson_path = output_dir + "world_cities_europe.geojson"
+cities_filtered.to_file(cities_geojson_path, driver='GeoJSON')
+print(f"Saved {cities_geojson_path} ({len(cities_filtered)} features)")
+
+# ---------- Convert roads ----------
+print("Processing roads...")
+
+roads = gpd.read_file(roads_shp)
+
+# Keep only Europe/Nordics
+roads_filtered = roads[roads['ADM0_A3'].isin(europe_nordics)].copy()
+
+# Rename the main type column to 'type' (if needed)
+if 'TYPE' in roads_filtered.columns:
+    roads_filtered = roads_filtered.rename(columns={'TYPE': 'type'})
+elif 'fclass' in roads_filtered.columns:
+    roads_filtered = roads_filtered.rename(columns={'fclass': 'type'})
+else:
+    roads_filtered['type'] = 'road'  # fallback
+
+# Keep only necessary columns
+roads_filtered = roads_filtered[['type','geometry']]
+
+# Remove duplicate column names (sometimes shapefiles have duplicates)
+roads_filtered = roads_filtered.loc[:, ~roads_filtered.columns.duplicated()]
+
+# Save to GeoJSON
+roads_geojson_path = output_dir + "roads_europe.geojson"
+roads_filtered.to_file(roads_geojson_path, driver='GeoJSON')
+print(f"Saved {roads_geojson_path} ({len(roads_filtered)} features)")
+