geo-l2-nyc-park-symdiff
Map (reference ← swipe → agent)
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We're reconciling our official Parks polygons against an OSM-derived parks export. Both feed the public 'find a park' map and they disagree in dozens of places. `nyc_parks.gpkg` is a GeoPackage with official and OSM-derived park layers. I need every patch claimed by exactly one side, with adjacent disagreement patches merged together so that a shifted park's gain and loss form a single feature rather than two. One MultiPolygon per merged group with a `source` attribute whose value is exactly one of `parks_official`, `parks_osm`, or `both` (those exact strings, matching the input GPKG layer names). For each group I also need a label-anchor point that falls strictly inside the group's geometry.
Please write two GeoJSON FeatureCollections. First, `parks_disagreement.geojson` with the `source` column. Second, `park_label_anchors.geojson` with the same `source` column, with exactly one anchor per disagreement group in matching order.
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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 /work
nyc_parks.gpkg
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Write
/work/check_layers.py
content · 10 lines · py
import geopandas as gpd
def check_layers(path):
import fiona
layers = fiona.listlayers(path)
print(f"Layers in {path}: {layers}")
if __name__ == "__main__":
check_layers('/work/nyc_parks.gpkg')
Wrote /work/check_layers.py (212 chars).
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Bash
python /work/check_layers.py
Layers in /work/nyc_parks.gpkg: ['parks_official', 'parks_osm']
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Write
/work/solve.py
content · 157 lines · py
import geopandas as gpd
from shapely.ops import unary_union
from shapely.geometry import MultiPolygon, Polygon, Point
import pandas as pd
def solve():
# 1. Load layers
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
# Ensure CRS is the same and valid
if official.crs != osm.crs:
osm = osm.to_crs(official.crs)
# 2. Get geometry only to simplify processing
official_geom = official.geometry.unary_union
osm_geom = osm.geometry.unary_union
# 3. Find discrepancies
# Parts in official but not in osm
diff_official = official_geom.difference(osm_geom)
# Parts in osm but not in official
diff_osm = osm_geom.difference(official_geom)
# A "patch" is a piece of geometry that exists in one but not both.
# We need to find these and then merge adjacent ones.
# However, a shifted park's gain and loss might be adjacent.
# Let's represent the disagreement as a set of polygons.
# To handle "adjacent disagreement patches merged together", we can do the following:
# We have the set of all areas that are in (Official XOR OSM).
# Let's find the union of these differences.
xor_geom = official_geom.symmetric_difference(osm_geom)
# If xor_geom is a single geometry, we might want to break it into its constituent
# connected components (polygons/multipolygons).
# But wait, a "shifted park" might consist of a piece that is 'official' and
# a piece that is 'osm', and they might be touching.
# If they touch, we want them merged into one feature with a specific source?
# "One MultiPolygon per merged group with a source attribute whose value is exactly one of parks_official, parks_osm, or both"
# Wait, the instruction says: "exactly one of parks_official, parks_osm, or both".
# If a group is a merger of an 'official' patch and an 'osm' patch,
# what is the source?
# "One MultiPolygon per merged group with a source attribute whose value is exactly one of parks_official, parks_osm, or both".
# If it's a merger of an official part and an osm part, it should be 'both'?
# No, "exactly one of ...". This implies if it contains both, it's 'both'.
# Let's re-read: "every patch claimed by exactly one side, with adjacent disagreement patches merged together so that a shifted park's gain and loss form a single feature rather than two."
# If a shifted park has a 'gain' (in osm) and a 'loss' (in official), they are adjacent.
# Merging them results in a single geometry.
# The source of this merged geometry should be 'both' because it contains parts from both.
# Let's refine the process:
# 1. Find all 'only official' polygons: official_only = official_geom - osm_geom
# 2. Find all 'only osm' polygons: osm_only = osm_geom - official_geom
# 3. Combine them into a single collection of polygons.
# 4. Dissolve them based on adjacency.
# Actually, the XOR geometry itself is the collection of all "disagreement patches".
# If we take the connected components of the XOR geometry, we get the "merged groups".
from shapely.geometry import MultiPolygon
def get_connected_components(geometry):
if geometry.is_empty:
return []
if isinstance(geometry, Polygon):
return [geometry]
if isinstance(geometry, MultiPolygon):
return list(geometry.geoms)
# In case of GeometryCollection
if hasattr(geometry, 'geoms'):
components = []
for geom in geometry.geoms:
components.extend(get_connected_components(geom))
return components
return [geometry]
components = get_connected_components(xor_geom)
disagreement_features = []
anchor_features = []
for comp in components:
if comp.is_empty:
continue
# Determine source
# A component is 'parks_official' if it's entirely within official_geom AND not in osm_geom?
# No, the component is a subset of the XOR.
# If the component is entirely contained in official_geom (but not in osm_geom), it's 'parks_official'.
# If it's entirely contained in osm_geom (but not in official_geom), it's 'parks_osm'.
# If it contains parts of both, it's 'both'.
# Since the component is part of the symmetric difference, any part of it is either
# in official OR in osm, but NOT both.
# So a component can be a mix of 'only official' and 'only osm' parts.
# Let's check parts of the component.
# We can use intersection to see if the component has parts in official or osm.
# But we must be careful: the component is already in the XOR, so it cannot be in 'both' (intersection).
# Wait. If it's in the XOR, it is (Official \ OSM) OR (OSM \ Official).
# Thus, it cannot have an intersection with (Official INTERSECT OSM).
# So any part of the component is either in (Official \ OSM) or (OSM \ Official).
# If a component is composed of both 'official only' parts and 'osm only' parts,
# it means they are touching.
in_official = comp.intersection(official_geom)
in_osm = comp.intersection(osm_geom)
# Note: Because comp is a subset of (official XOR osm),
# in_official and in_osm are disjoint.
if not in_official.is_empty and not in_osm.is_empty:
source = 'both'
elif not in_official.is_empty:
source = 'parks_official'
elif not in_osm.is_empty:
source = 'parks_osm'
else:
continue # Should not happen
# Prepare disagreement feature
# The requirement says "One MultiPolygon per merged group".
# We ensure comp is treated as MultiPolygon if it's not.
if isinstance(comp, Polygon):
poly_to_save = MultiPolygon([comp])
else:
poly_to_save = comp
disagreement_features.append({
'geometry': poly_to_save,
'source': source
})
# Prepare anchor point
# "a label-anchor point that falls strictly inside the group's geometry"
# representative_point() is a good candidate as it's guaranteed to be inside.
anchor_point = comp.representative_point()
anchor_features.append({
'geometry': anchor_point,
'source': source
})
# 4. Save to GeoJSON
gdf_disagreement = gpd.GeoDataFrame(disagreement_features, crs=official.crs)
gdf_disagreement.to_file('/work/parks_disagreement.geojson', driver='GeoJSON')
gdf_anchors = gpd.GeoDataFrame(anchor_features, crs=official.crs)
gdf_anchors.to_file('/work/park_label_anchors.geojson', driver='GeoJSON')
print(f"Created parks_disagreement.geojson with {len(gdf_disagreement)} features.")
print(f"Created park_label_anchors.geojson with {len(gdf_anchors)} features.")
if __name__ == "__main__":
solve()
Wrote /work/solve.py (7173 chars).
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Bash
python /work/solve.py
Created parks_disagreement.geojson with 128 features. Created park_label_anchors.geojson with 128 features.
/work/solve.py:16: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead. official_geom = official.geometry.unary_union /work/solve.py:17: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead. osm_geom = osm.geometry.unary_union
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Bash
# Check if the files are valid GeoJSONs and look at some properties
# Check if the files are valid GeoJSONs and look at some properties
python -c "import geopandas as gpd; gdf = gpd.read_file('/work/parks_disagreement.geojson'); print(gdf.head()); print(gdf['source'].unique())"
python -c "import geopandas as gpd; gdf = gpd.read_file('/work/park_label_anchors.geojson'); print(gdf.head()); print(gdf['source'].unique())"
source geometry
0 parks_official MULTIPOLYGON (((976145.648 208296.516, 976120....
1 parks_official MULTIPOLYGON (((973618.104 221247.219, 973613....
2 parks_official MULTIPOLYGON (((970496.405 230792.269, 970474....
3 both MULTIPOLYGON (((980903.764 220560.1, 980892.24...
4 both MULTIPOLYGON (((980909.884 220551.064, 980810....
<ArrowStringArray>
['parks_official', 'both', 'parks_osm']
Length: 3, dtype: str
source geometry
0 parks_official POINT (976123.09 208245.917)
1 parks_official POINT (973656.824 221358.283)
2 parks_official POINT (970748.291 230848.511)
3 both POINT (980908.757 220564.967)
4 both POINT (980877.312 220528.704)
<ArrowStringArray>
['parks_official', 'both', 'parks_osm']
Length: 3, dtype: str
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Bash
# Verify that the 'both' features actually contain both parts.
# Verify that the 'both' features actually contain both parts.
# I'll pick one 'both' feature and check its intersection with official and osm.
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
both_gdf = gdf[gdf['source'] == 'both']
if not both_gdf.empty:
sample_geom = both_gdf.iloc[0].geometry
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
off_int = sample_geom.intersection(official.geometry.unary_union)
osm_int = sample_geom.intersection(osm.geometry.unary_union)
print(f'Sample is BOTH: official_int_area={off_int.area}, osm_int_area={osm_int.area}')
else:
print('No BOTH features found')
"
Sample is BOTH: official_int_area=1.0016723489206106e-10, osm_int_area=740.2518824133176
<string>:9: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead. <string>:10: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.
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Bash
python -c "
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
both_gdf = gdf[gdf['source'] == 'both']
if not both_gdf.empty:
sample_geom = both_gdf.iloc[0].geometry
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
off_int = sample_geom.intersection(official.geometry.unary_union)
osm_int = sample_geom.intersection(osm.geometry.unary_union)
print(f'Sample is BOTH: official_int_area={off_int.area}, osm_int_area={osm_int.area}')
else:
print('No BOTH features found')
"
Sample is BOTH: official_int_area=1.0016723489206106e-10, osm_int_area=740.2518824133176
<string>:9: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead. <string>:10: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.
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Write
/work/solve.py
content · 113 lines · py
import geopandas as gpd
from shapely.geometry import MultiPolygon, Polygon, Point
import pandas as pd
def solve():
# 1. Load layers
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
# Ensure CRS is the same and valid
if official.crs != osm.crs:
osm = osm.to_crs(official.crs)
# 2. Get geometry only to simplify processing
official_geom = official.geometry.union_all()
osm_geom = osm.geometry.union_all()
# 3. Find discrepancies
# We want the symmetric difference (XOR)
xor_geom = official_geom.symmetric_difference(osm_geom)
from shapely.geometry import MultiPolygon
def get_connected_components(geometry):
if geometry.is_empty:
return []
if isinstance(geometry, Polygon):
return [geometry]
if isinstance(geometry, MultiPolygon):
return list(geometry.geoms)
if hasattr(geometry, 'geoms'):
components = []
for geom in geometry.geoms:
components.extend(get_connected_components(geom))
return components
return [geometry]
components = get_connected_components(xor_geom)
disagreement_features = []
anchor_features = []
for comp in components:
if comp.is_empty:
continue
# Check if this component contains parts of both official and osm
# We need to check against the original geometries.
# However, we must check against the 'original' polygons because
# official_geom and osm_geom are already unions.
# Actually, the symmetric difference handles the logic.
# A component is either in (Official \ OSM) or (OSM \ Official) OR a combination.
# To be a combination, it must touch a boundary.
# Let's use a small buffer or checking intersection with the original sets.
# But since we already have the union, let's intersect the component with official_geom and osm_geom.
# However, the XOR means component is (Official AND NOT OSM) OR (OSM AND NOT Official).
# Wait, if a component contains both, it must be that some part is in (Official \ OSM)
# and some part is in (OSM \ Official).
# These two parts are disjoint. For them to be in the same component,
# they must touch.
in_official = comp.intersection(official_geom)
in_osm = comp.intersection(osm_geom)
# We need to check if the intersection is non-trivial.
# Because they are part of the symmetric difference, in_official and in_osm
# cannot overlap.
has_official = not in_official.is_empty and in_official.area > 1e-7
has_osm = not in_osm.is_empty and in_osm.area > 1e-7
if has_official and has_osm:
source = 'both'
elif has_official:
source = 'parks_official'
elif has_osm:
source = 'parks_osm'
else:
# This case might happen due to precision issues
continue
# Prepare disagreement feature
if isinstance(comp, Polygon):
poly_to_save = MultiPolygon([comp])
else:
poly_to_save = comp
disagreement_features.append({
'geometry': poly_to_save,
'source': source
})
# Prepare anchor point
anchor_point = comp.representative_point()
anchor_features.append({
'geometry': anchor_point,
'source': source
})
# 4. Save to GeoJSON
gdf_disagreement = gpd.GeoDataFrame(disagreement_features, crs=official.crs)
gdf_disagreement.to_file('/work/parks_disagreement.geojson', driver='GeoJSON')
gdf_anchors = gpd.GeoDataFrame(anchor_features, crs=official.crs)
gdf_anchors.to_file('/work/park_label_anchors.geojson', driver='GeoJSON')
print(f"Created parks_disagreement.geojson with {len(gdf_disagreement)} features.")
print(f"Created park_label_anchors.geojson with {len(gdf_anchors)} features.")
if __name__ == "__main__":
solve()
Wrote /work/solve.py (4219 chars).
1:35
Bash
python /work/solve.py
Created parks_disagreement.geojson with 128 features. Created park_label_anchors.geojson with 128 features.
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Bash
# Let's check the 'both' features again with the improved area check
# Let's check the 'both' features again with the improved area check
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
both_gdf = gdf[gdf['source'] == 'both']
if not both_gdf.empty:
sample_geom = both_gdf.iloc[0].geometry
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
off_int = sample_geom.intersection(official.geometry.union_all())
osm_int = sample_geom.intersection(osm.geometry.union_all())
print(f'Sample is BOTH: official_int_area={off_int.area}, osm_int_area={osm_int.area}')
else:
print('No BOTH features found')
"
No BOTH features found
1:56
Bash
# Wait, why were no 'both' features found now?
# Wait, why were no 'both' features found now?
# Ah, I see. The area check might be too strict or there are no 'both' features in this specific dataset?
# Or the symmetric difference logic is fine but my verification is wrong.
# Let's re-run the verification without the area check.
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
both_gdf = gdf[gdf['source'] == 'both']
print(f'Found {len(both_gdf)} BOTH features')
if not both_gdf.empty:
sample_geom = both_gdf.iloc[0].geometry
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
off_int = sample_geom.intersection(official.geometry.union_all())
osm_int = sample_geom.intersection(osm.geometry.union_all())
print(f'Sample is BOTH: official_int_area={off_int.area}, osm_int_area={osm_int.area}')
"
Found 0 BOTH features
2:08
Bash
# Let's investigate the disagreement manually.
# Let's investigate the disagreement manually.
# I'll check if any official polygon is not in OSM and vice versa.
python -c "
import geopandas as gpd
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
off_geom = official.geometry.union_all()
osm_geom = osm.geometry.union_all()
print(f'Official area: {off_geom.area}')
print(f'OSM area: {osm_geom.area}')
print(f'Intersection area: {off_geom.intersection(osm_geom).area}')
print(f'Symmetric Difference area: {off_geom.symmetric_difference(osm_geom).area}')
"
Official area: 341739686.739305 OSM area: 339134279.89643794 Intersection area: 337849316.75325954 Symmetric Difference area: 5175333.12922399
2:19
Bash
# The symmetric difference area is 5 million.
# The symmetric difference area is 5 million.
# If there are 128 features, each feature is about 40k area.
# Let's check the 'source' counts in the disagreement file.
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
print(gdf['source'].value_counts())
"
source parks_official 68 parks_osm 60 Name: count, dtype: int64
2:50
Write
/work/solve.py
content · 110 lines · py
import geopandas as gpd
from shapely.geometry import MultiPolygon, Polygon, Point
import pandas as pd
def solve():
# 1. Load layers
official = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_official')
osm = gpd.read_file('/work/nyc_parks.gpkg', layer='parks_osm')
# Ensure CRS is the same and valid
if official.crs != osm.crs:
osm = osm.to_crs(official.crs)
# 2. Get geometry only to simplify processing
official_geom = official.geometry.union_all()
osm_geom = osm.geometry.union_all()
# 3. Find discrepancies
# XOR is the set of all areas that are in exactly one of the two.
xor_geom = official_geom.symmetric_difference(osm_geom)
from shapely.geometry import MultiPolygon
def get_connected_components(geometry):
if geometry.is_empty:
return []
if isinstance(geometry, Polygon):
return [geometry]
if isinstance(geometry, MultiPolygon):
return list(geometry.geoms)
if hasattr(geometry, 'geoms'):
components = []
for geom in geometry.geoms:
components.extend(get_connected_components(geom))
return components
return [geometry]
# Get components of the XOR.
# However, if an 'official' patch and an 'osm' patch are adjacent,
# they might be part of the same connected component in the XOR
# IF they touch. But in XOR, they only exist where one is present and the other isn't.
# If an official polygon and an osm polygon share a boundary,
# the XOR geometry will have those two polygons touching at that boundary.
# Thus they will be part of the same connected component.
components = get_connected_components(xor_geom)
disagreement_features = []
anchor_features = []
for comp in components:
if comp.is_empty:
continue
# Determine source
# A component is 'both' if it contains parts of both official and osm.
# Because it's from the XOR, it cannot contain parts that are in BOTH official and osm.
# It contains parts that are in (Official \ OSM) and parts that are in (OSM \ Official).
in_official = comp.intersection(official_geom)
in_osm = comp.intersection(osm_geom)
# Check if both intersections are non-empty (using area to avoid precision issues)
has_official = in_official.area > 1e-6
has_osm = in_osm.area > 1e-6
if has_official and has_osm:
source = 'both'
elif has_official:
source = 'parks_official'
elif has_osm:
source = 'parks_osm'
else:
continue
# Prepare disagreement feature
# Ensure it's a MultiPolygon as requested
if isinstance(comp, Polygon):
poly_to_save = MultiPolygon([comp])
else:
poly_to_save = comp
disagreement_features.append({
'geometry': poly_to_save,
'source': source
})
# Prepare anchor point
anchor_point = comp.representative_point()
anchor_features.append({
'geometry': anchor_point,
'source': source
})
# 4. Save to GeoJSON
gdf_disagreement = gpd.GeoDataFrame(disagreement_features, crs=official.crs)
# Sort to ensure matching order for anchors (though representative_point is computed per feature)
gdf_disagreement = gdf_disagreement.sort_index()
gdf_disagreement.to_file('/work/parks_disagreement.geojson', driver='GeoJSON')
gdf_anchors = gpd.GeoDataFrame(anchor_features, crs=official.crs)
gdf_anchors = gdf_anchors.sort_index()
gdf_anchors.to_file('/work/park_label_anchors.geojson', driver='GeoJSON')
print(f"Created parks_disagreement.geojson with {len(gdf_disagreement)} features.")
print(f"Created park_label_anchors.geojson with {len(gdf_anchors)} features.")
if __name__ == "__main__":
solve()
Wrote /work/solve.py (4036 chars).
2:53
Bash
python /work/solve.py
Created parks_disagreement.geojson with 128 features. Created park_label_anchors.geojson with 128 features.
2:58
Bash
# Re-verify the 'both' count
# Re-verify the 'both' count
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
print(gdf['source'].value_counts())
"
source parks_official 68 parks_osm 60 Name: count, dtype: int64
3:19
Bash
# Let's check if any official-only and osm-only patches are adjacent.
# Let's check if any official-only and osm-only patches are adjacent.
# We'll do this by taking all 'parks_official' and 'parks_osm' patches
# and checking if they touch.
python -c "
import geopandas as gpd
from shapely.ops import unary_union
gdf = gpd.read_file('/work/parks_disagreement.geojson')
off_patches = gdf[gdf['source'] == 'parks_official'].geometry.unary_union
osm_patches = gdf[gdf['source'] == 'parks_osm'].geometry.unary_union
# Check if they touch
if off_patches.intersects(osm_patches):
print('They touch!')
# Find the intersection (it should be a boundary/line if they just touch)
inter = off_patches.intersection(osm_patches)
print(f'Intersection type: {inter.geom_type}, area: {inter.area}')
else:
print('They do not touch.')
"
They touch! Intersection type: MultiPoint, area: 0.0
<string>:6: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead. <string>:7: DeprecationWarning: The 'unary_union' attribute is deprecated, use the 'union_all()' method instead.
3:36
Bash
# The intersection type is MultiPoint with area 0.
# The intersection type is MultiPoint with area 0.
# This means they touch at points, not along edges.
# If they touch along edges, the intersection would be a LineString or MultiLineString.
# Let's check if any pair of (off_patch, osm_patch) has a non-zero length intersection.
python -c "
import geopandas as gpd
from shapely.geometry import LineString, MultiLineString
gdf = gpd.read_file('/work/parks_disagreement.geojson')
off_patches = gdf[gdf['source'] == 'parks_official'].geometry
osm_patches = gdf[gdf['source'] == 'parks_osm'].geometry
touching_count = 0
for off_geom in off_patches:
for osm_geom in osm_patches:
inter = off_geom.intersection(osm_geom)
if inter.length > 1e-6:
touching_count += 1
print(f'Found edge touch: length {inter.length}')
print(f'Total edge touches: {touching_count}')
"
Total edge touches: 0
4:06
(no output)
Bash
# If they don't touch along edges, it means my XOR component logic
# If they don't touch along edges, it means my XOR component logic # is actually correct and 'both' won't happen unless they are part of the same # connected component in the XOR. # But if they don't touch along edges, they won't form a single component # in the XOR unless they are connected via other XOR components. # Wait, if an official patch and an osm patch are adjacent, # they MUST share a boundary. If they share a boundary, # that boundary is in the XOR? No, the boundary is NOT in the XOR. # The XOR contains the interior of the polygons. # The boundary of the union is the boundary of the XOR. # Two patches in the XOR (one official, one osm) that share a boundary # will actually NOT touch in the XOR because the boundary itself is not in the XOR. # However, in floating point geometry, they might be considered to touch. # But if the instruction says "adjacent disagreement patches merged together", # it implies that we should merge them if they are adjacent. # In GIS, 'adjacent' usually means sharing a boundary. # If I have a polygon A (official) and a polygon B (osm) such that A and B are adjacent, # their symmetric difference is A U B. # If A and B are adjacent, A U B is a single connected component. # My code uses `xor_geom.geoms` (or `get_connected_components(xor_geom)`) # which finds connected components of the XOR. # A connected component in the XOR will include A and B only if they # are connected via some other parts of the XOR. # If A and B are the only disagreement pieces and they share a boundary, # A U B IS a single connected component. # My previous test showed `off_patches.intersects(osm_patches)` was True (MultiPoint), # which means they touch at points. # If they shared an edge, the intersection would be a LineString. # If they shared an edge, they WOULD be part of the same connected component. # So if my code found 0 'both' features, it means no official-only patch # and osm-only patch share an edge. # Let me double check the logic again. # If A and B share an edge, then A U B is connected. # A is in Official \ OSM. B is in OSM \ Official. # A U B is in (Official \ OSM) U (OSM \ Official) = XOR. # So A U B is a connected component of the XOR. # And A U B would be labeled 'both' by my code. # If my code found 0 'both' features, it means no two patches # share an edge. # Let's re-verify the 'edge touch' code.
4:18
(no output)
Bash
# Let's check if there are any official patches and osm patches that share an ed...
# Let's check if there are any official patches and osm patches that share an edge.
python -c "
import geopandas as gpd
gdf = gpd.read_file('/work/parks_disagreement.geojson')
off_gdf = gdf[gdf['source'] == 'parks_official']
osm_gdf = gdf[gdf['source'] == 'parks_osm']
# Check for shared boundaries
for i, off_row in off_gdf.iterrows():
for j, osm_row in osm_gdf.iterrows():
inter = off_row.geometry.intersection(osm_row.geometry)
if inter.length > 1e-6:
print(f'Edge touch between {i} and {j}, length: {inter.length}')
"
4:43
Bash
# If there are no edge touches, then the 'both' case is not applicable for this ...
# If there are no edge touches, then the 'both' case is not applicable for this specific dataset. # Let's check if any of the official patches are actually composed of multiple polygons. # (Already handled by MultiPolygon logic). # The output seems to satisfy all requirements. # 1. Every patch claimed by exactly one side (or both if they are adjacent and merged). # 2. Adjacent disagreement patches merged together (connected components of XOR). # 3. One MultiPolygon per merged group. # 4. source attribute is 'parks_official', 'parks_osm', or 'both'. # 5. label-anchor point strictly inside. # 6. Two GeoJSON files. # Let's just do one final check on the output files' existence and structure. ls -l /work/parks_disagreement.geojson /work/park_label_anchors.geojson
-rw-r--r-- 1 agent agent 21509 Jun 15 23:41 /work/park_label_anchors.geojson -rw-r--r-- 1 agent agent 180046 Jun 15 23:41 /work/parks_disagreement.geojson
5:37