geo-l1-tokyo-busstop-buffer
Map (reference ← swipe → agent)
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I'm refreshing the 400 m walkable-catchment layer for `tokyo_connectors.geojson` so I can join the result to our ridership table. Can you draw a 400 m buffer around every connector and save the result as `tokyo_stop_catchments.geoparquet` in GeoParquet, with one Polygon or MultiPolygon row per input connector? Please keep `connector_id` on every row with the original value preserved, since that's the join key.
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System info
{
"adapter": "openrouter",
"model": "google/gemma-4-26b-a4b-it",
"base_url": "https://openrouter.ai/api/v1"
}
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Bash
ls -F
tokyo_connectors.geojson
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Write
/work/solve.py
content · 54 lines · py
import geopandas as gpd
def main():
# Load the input connectors
input_file = 'tokyo_connectors.geojson'
output_file = 'tokyo_stop_catchments.geoparquet'
buffer_dist = 400 # meters
print(f"Reading {input_file}...")
gdf = gpd.read_file(input_file)
# Check CRS
if gdf.crs is None:
print("Warning: Input has no CRS. Assuming WGS84 (EPSG:4326).")
gdf.set_crs(epsg=4326, inplace=True)
# We need to buffer in meters, so project to a metric CRS.
# For Tokyo, EPSG:3857 (Web Mercator) or a local UTM zone is appropriate.
# EPSG:6677 (JGD2011 / Japan Plane Rectangular CS VI) is often used for Tokyo.
# Let's use EPSG:3857 for simplicity if we don't want to guess the exact zone,
# but EPSG:6677 is better for local accuracy.
# Actually, let's check if we can use a more appropriate one or just 3857.
# Since it's a 400m buffer, 3857 is usually "good enough" for general catchments,
# but let's try to be professional.
print("Projecting to metric CRS for buffering...")
# EPSG:6677 is JGD2011 / Japan Plane Rectangular CS VI (covers Tokyo area)
# Alternatively, EPSG:3857 is safe and common.
gdf_metric = gdf.to_crs(epsg=6677)
print(f"Buffering by {buffer_dist}m...")
# Apply buffer
gdf_metric['geometry'] = gdf_metric.buffer(buffer_dist)
# Ensure we keep connector_id and project back to WGS84 if the original was 4326
# Or just keep the metric CRS if that's preferred?
# Usually, ridership tables are in WGS84. Let's check original CRS.
original_crs = gdf.crs
print(f"Original CRS: {original_crs}")
gdf_buffer = gdf_metric.to_crs(original_crs)
# Ensure connector_id is preserved.
# The buffer operation on a GeoSeries preserves the index, so the columns are kept.
# The prompt says: "one Polygon or MultiPolygon row per input connector"
# buffer() returns a single geometry per row.
print(f"Saving to {output_file}...")
gdf_buffer.to_parquet(output_file)
print("Done!")
if __name__ == "__main__":
main()
Wrote /work/solve.py (2087 chars).
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Bash
python solve.py
Reading tokyo_connectors.geojson... Projecting to metric CRS for buffering... Buffering by 400m... Original CRS: EPSG:4326 Saving to tokyo_stop_catchments.geoparquet... Done!
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Bash
python -c "import geopandas as gpd; gdf = gpd.read_parquet('tokyo_stop_catchment...
connector_id geometry
0 0096dba5-f5b5-4cd6-b10b-de96fac11d0c POLYGON ((139.77109 35.68169, 139.77107 35.681...
1 00bfefa0-b287-48ac-acb4-9ee43e8ccc3e POLYGON ((139.77219 35.68178, 139.77216 35.681...
2 00c74771-e2be-486d-8962-a411c4bdc882 POLYGON ((139.77089 35.68174, 139.77087 35.681...
3 012ea04f-85ec-417a-a7c4-c982b3de4436 POLYGON ((139.77117 35.68141, 139.77115 35.681...
4 0365ffb5-6290-4cc7-899c-946d30e997bd POLYGON ((139.77209 35.68127, 139.77207 35.680...
Index(['connector_id', 'geometry'], dtype='str')
{"$schema": "https://proj.org/schemas/v0.7/projjson.schema.json", "type": "GeographicCRS", "name": "WGS 84", "datum_ensemble": {"name": "World Geodetic System 1984 ensemble", "members": [{"name": "World Geodetic System 1984 (Transit)"}, {"name": "World Geodetic System 1984 (G730)"}, {"name": "World Geodetic System 1984 (G873)"}, {"name": "World Geodetic System 1984 (G1150)"}, {"name": "World Geodetic System 1984 (G1674)"}, {"name": "World Geodetic System 1984 (G1762)"}, {"name": "World Geodetic System 1984 (G2139)"}, {"name": "World Geodetic System 1984 (G2296)"}], "ellipsoid": {"name": "WGS 84", "semi_major_axis": 6378137, "inverse_flattening": 298.257223563}, "accuracy": "2.0", "id": {"authority": "EPSG", "code": 6326}}, "coordinate_system": {"subtype": "ellipsoidal", "axis": [{"name": "Geodetic latitude", "abbreviation": "Lat", "direction": "north", "unit": "degree"}, {"name": "Geodetic longitude", "abbreviation": "Lon", "direction": "east", "unit": "degree"}]}, "scope": "Horizontal component of 3D system.", "area": "World.", "bbox": {"south_latitude": -90, "west_longitude": -180, "north_latitude": 90, "east_longitude": 180}, "id": {"authority": "EPSG", "code": 4326}}
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