Including a central point and plotting buildings in a square
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42
latlong2.py
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42
latlong2.py
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@ -0,0 +1,42 @@
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import requests
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def get_lat_lng(api_key, address):
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base_url = "https://api.opencagedata.com/geocode/v1/json"
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params = {
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'q': address,
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'key': api_key,
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}
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response = requests.get(base_url, params=params)
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data = response.json()
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if response.status_code == 200 and data['status']['code'] == 200:
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location = data['results'][0]['geometry']
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return location['lat'], location['lng']
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else:
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print(f"Error: {data['status']['message']}")
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return None, None
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def get_lat_lng_for_addresses(api_key, addresses):
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coordinates = []
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for address in addresses:
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lat, lng = get_lat_lng(api_key, address)
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if lat is not None and lng is not None:
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coordinates.append((lat, lng))
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return coordinates
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# Replace 'YOUR_API_KEY' with your OpenCage Geocoding API key
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api_key = '744ad0d2d58e49d1ac57d6fb04fe5d82'
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# Example list of addresses
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addresses = ["1600 Amphitheatre Parkway, Mountain View, CA",
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"Eiffel Tower, Paris, France",
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"Big Ben, London, UK"]
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coordinates = get_lat_lng_for_addresses(api_key, addresses)
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# Print the coordinates
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for address, coord in zip(addresses, coordinates):
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print(f"{address} -> Latitude: {coord[0]}, Longitude: {coord[1]}")
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20
main.py
20
main.py
@ -5,13 +5,19 @@ from pathlib import Path
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# Make sure to enter your points in the clockwise direction
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# and in the longitude, latitude format
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selection_box = Polygon([[-73.543833, 45.575932] ,
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[-73.541834, 45.575245],
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[-73.542275, 45.574652],
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[-73.544235, 45.575329],
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[-73.543833, 45.575932]])
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geojson_file = Path('./data/collinear_clean.geojson').resolve()
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#selection_box = Polygon([[-73.543833, 45.575932] ,
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# [-73.541834, 45.575245],
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# [-73.542275, 45.574652],
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# [-73.544235, 45.575329],
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# [-73.543833, 45.575932]])
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x=-73.61574532884296
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y=45.603911965131
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diff=0.001
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selection_box = Polygon([[x+diff, y-diff],
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[x-diff, y-diff],
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[x-diff, y+diff],
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[x+diff, y+diff]])
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geojson_file = Path('./data/collinear_clean 1.geojson').resolve()
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output_file = Path('./output_buildings.geojson').resolve()
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buildings_in_region = []
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