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import geopandas as gpd
import numpy as np
from libpysal.weights import Queen
import momepy as mm
class TimeDistribution:
def setup(self):
test_file_path = mm.datasets.get_path("bubenec")
self.df_buildings = gpd.read_file(test_file_path, layer="buildings")
self.df_streets = gpd.read_file(test_file_path, layer="streets")
self.df_tessellation = gpd.read_file(test_file_path, layer="tessellation")
self.df_buildings["height"] = np.linspace(10.0, 30.0, 144)
self.df_buildings["volume"] = mm.Volume(self.df_buildings, "height").series
self.df_streets["nID"] = mm.unique_id(self.df_streets)
self.df_buildings["nID"] = mm.get_network_id(
self.df_buildings, self.df_streets, "nID"
)
self.df_buildings["orient"] = mm.Orientation(self.df_buildings).series
self.df_tessellation["orient"] = mm.Orientation(self.df_tessellation).series
self.sw = Queen.from_dataframe(self.df_tessellation, ids="uID")
self.swh = mm.sw_high(k=3, gdf=self.df_tessellation, ids="uID")
self.swb = Queen.from_dataframe(self.df_buildings, ids="uID")
def time_Orientation(self):
mm.Orientation(self.df_buildings)
def time_SharedWallsRatio(self):
mm.SharedWallsRatio(self.df_buildings)
def time_StreetAlignment(self):
mm.StreetAlignment(
self.df_buildings, self.df_streets, "orient", network_id="nID"
)
def time_CellAlignment(self):
mm.CellAlignment(
self.df_buildings, self.df_tessellation, "orient", "orient", "uID", "uID"
)
def time_Alignment(self):
mm.Alignment(self.df_buildings, self.sw, "uID", self.df_buildings["orient"])
def time_NeighborDistance(self):
mm.NeighborDistance(self.df_buildings, self.sw, "uID")
def time_MeanInterbuildingDistance(self):
mm.MeanInterbuildingDistance(self.df_buildings, self.sw, "uID", self.swh)
def time_NeighboringStreetOrientationDeviation(self):
mm.NeighboringStreetOrientationDeviation(self.df_streets)
def time_BuildingAdjacency(self):
mm.BuildingAdjacency(
self.df_buildings,
spatial_weights=self.swb,
unique_id="uID",
spatial_weights_higher=self.swh,
)
def time_Neighbors(self):
mm.Neighbors(self.df_tessellation, self.sw, "uID")
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