momepy.Tessellation(gdf, unique_id, limit, shrink=0.4, segment=0.5)[source]¶Generate morphological tessellation around given buildings or proximity bands around given street network.
GeoDataFrame containing building footprints or street network
name of the column with unique id
MultiPolygon or Polygon defining the study area limiting tessellation (otherwise it could go to infinity).
distance for negative buffer to generate space between adjacent polygons (if geometry type of gdf is (Multi)Polygon).
maximum distance between points after discretisation
Notes
queen_corners is currently experimental method only and can cause errors.
Examples
>>> tess = mm.Tessellation(buildings_df, 'uID', limit=mm.buffered_limit(buildings_df))
Inward offset...
Discretization...
Generating input point array...
100%|██████████| 144/144 [00:00<00:00, 376.15it/s]
Generating Voronoi diagram...
Generating GeoDataFrame...
Vertices to Polygons: 100%|██████████| 33059/33059 [00:01<00:00, 31532.72it/s]
Dissolving Voronoi polygons...
Preparing buffer zone for edge resolving...
Building R-tree...
100%|██████████| 42/42 [00:00<00:00, 752.54it/s]
Cutting...
>>> tess.tessellation.head()
uID geometry
0 1 POLYGON ((1603586.677274485 6464344.667944215,...
1 2 POLYGON ((1603048.399497852 6464176.180701573,...
2 3 POLYGON ((1603071.342637536 6464158.863329805,...
3 4 POLYGON ((1603055.834005827 6464093.614718676,...
4 5 POLYGON ((1603106.417554705 6464130.215958447,...
GeoDataFrame containing resulting tessellation
original GeoDataFrame
Series containing used unique ID
limit
used shrink value
used segment value
spatial index of tessellation
Methods
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Experimental: Fix unprecise corners. |
__init__(self, gdf, unique_id, limit, shrink=0.4, segment=0.5)[source]¶Initialize self. See help(type(self)) for accurate signature.
Methods
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Initialize self. |
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Experimental: Fix unprecise corners. |