119 lines
4.5 KiB
Python
119 lines
4.5 KiB
Python
"""
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gpandas module parses geopandas input table and import the geometry into the city model structure
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SPDX - License - Identifier: LGPL - 3.0 - or -later
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Copyright © 2022 Concordia CERC group
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Project Coder: Milad Aghamohamadnia --- milad.aghamohamadnia@concordia.ca
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"""
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import trimesh.exchange.load
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from trimesh import Scene
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import trimesh.geometry
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from shapely.geometry import Polygon as ShapelyPoly
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from shapely.geometry import Point
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import trimesh
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from pyproj import CRS
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from city_model_structure.city import City
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from city_model_structure.building import Building
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from city_model_structure.building_demand.surface import Surface
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from city_model_structure.attributes.polygon import Polygon
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import numpy as np
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class GPandas:
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"""
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GeoPandas class
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"""
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def __init__(self, gdataframe, srs_name='EPSG:26911'):
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"""_summary_
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Arguments:
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gdataframe {Geopandas.Dataframe} -- input geometry data in geopandas table
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Keyword Arguments:
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srs_name {str} -- coordinate system of coordinate system (default: {'EPSG:26911'})
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"""
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self._srs_name = srs_name
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self._city = None
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self._scene = gdataframe
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self._scene = self._scene.to_crs(self._srs_name)
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minx, miny, maxx, maxy = self._scene.total_bounds
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self._lower_corner = [minx, miny, 0]
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self._upper_corner = [maxx, maxy, 0]
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@property
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def scene(self) -> Scene:
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"""
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Get GeoPandas scene
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"""
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return self._scene
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@property
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def city(self) -> City:
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"""
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Get city out of a GeoPandas Table
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"""
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if self._city is None:
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self._city = City(self._lower_corner, self._upper_corner, self._srs_name)
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for ix, bldg in self._scene.iterrows():
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polygon = bldg['geometry']
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geom = bldg.geom
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polygon = ShapelyPoly(geom['coordinates'][0])
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height = float(bldg['height_mean'])
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building_mesh = trimesh.creation.extrude_polygon(polygon, height)
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trimesh.repair.fill_holes(building_mesh)
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trimesh.repair.fix_winding(building_mesh)
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year_of_construction = int(bldg['year_built'])
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name = str(ix)
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lod = 1
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if year_of_construction>2000:
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function = 'residential'
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else:
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function = 'industry'
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average_storey_height = 3
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surfaces = []
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face_normal = building_mesh.face_normals
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for ix, face in enumerate(building_mesh.faces):
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points = []
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for vertex_index in face:
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points.append(building_mesh.vertices[vertex_index])
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solid_polygon = Polygon(points)
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perimeter_polygon = solid_polygon
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s_type = 'Ground' if face_normal[ix][2]==-1 else ('Roof' if face_normal[ix][2]==1 else 'Wall')
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surface = Surface(solid_polygon, perimeter_polygon, surface_type=s_type)
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surfaces.append(surface)
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building = Building(name, lod, surfaces, year_of_construction, function, self._lower_corner, terrains=None)
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self._city.add_city_object(building)
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return self._city
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@staticmethod
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def resize_polygon(poly, factor=0.10, expand=False):
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"""
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returns the shapely polygon which is smaller or bigger by passed factor.
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Arguments:
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poly {shapely.geometry.Polygon} -- an input geometry in shapely polygon format
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Keyword Arguments:
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factor {float} -- factor of expansion (default: {0.10})
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expand {bool} -- If expand = True , then it returns bigger polygon, else smaller (default: {False})
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Returns:
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{shapely.geometry.Polygon} -- output geometry in shapely polygon format
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"""
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xs = list(poly.exterior.coords.xy[0])
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ys = list(poly.exterior.coords.xy[1])
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x_center = 0.5 * min(xs) + 0.5 * max(xs)
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y_center = 0.5 * min(ys) + 0.5 * max(ys)
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min_corner = Point(min(xs), min(ys))
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max_corner = Point(max(xs), max(ys))
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center = Point(x_center, y_center)
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shrink_distance = center.distance(min_corner)*factor
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if expand:
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poly_resized = poly.buffer(shrink_distance) #expand
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else:
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poly_resized = poly.buffer(-shrink_distance) #shrink
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return poly_resized
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