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import geopandas as gpd
import numpy as np
import momepy as mm
class TimeDimension:
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_tessellation["area"] = self.df_tessellation.geometry.area
self.df_buildings["height"] = np.linspace(10.0, 30.0, 144)
self.df_buildings["area"] = self.df_buildings.geometry.area
self.spatial_weights = mm.sw_high(k=3, gdf=self.df_tessellation, ids="uID")
self.sw = mm.sw_high(gdf=self.df_buildings, k=1)
def time_Area(self):
mm.Area(self.df_buildings)
def time_Perimeter(self):
mm.Perimeter(self.df_buildings)
def time_Volume(self):
mm.Volume(self.df_buildings, "height", "area")
def time_FloorArea(self):
mm.FloorArea(self.df_buildings, "height", "area")
def time_CourtyardArea(self):
mm.CourtyardArea(self.df_buildings, "area")
def time_LongestAxisLength(self):
mm.LongestAxisLength(self.df_buildings)
def time_AverageCharacter(self):
mm.AverageCharacter(
self.df_tessellation,
values="area",
spatial_weights=self.spatial_weights,
unique_id="uID",
)
def time_StreetProfile(self):
mm.StreetProfile(self.df_streets, self.df_buildings, heights="height")
def time_WeightedCharacter(self):
mm.WeightedCharacter(self.df_buildings, "height", self.spatial_weights, "uID")
def time_CoveredArea(self):
mm.CoveredArea(self.df_tessellation, self.spatial_weights, "uID")
def time_PeimerimeterWall(self):
mm.PerimeterWall(self.df_buildings, self.sw)
def time_SegmentsLength(self):
mm.SegmentsLength(self.df_streets)
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