55 lines
1.5 KiB
Python
55 lines
1.5 KiB
Python
"""Download and load a small open dataset for testing
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Run this to create a CSV of buildings geometries.
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Then run:
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- load_geometries.sh (loading geometries to the database)
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- create_buildings.sh (creating empty building records for each geometry)
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"""
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# -*- coding: utf-8 -*-
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import os
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import subprocess
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import osmnx
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# configure logging/caching
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osmnx.config(log_console=True, use_cache=True)
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# configure the image display
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size = 256
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# load buildings from about 1.5km² around UCL
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point = (51.524498, -0.133874)
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dist = 612
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gdf = osmnx.buildings_from_point(point=point, distance=dist)
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# preview image
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gdf_proj = osmnx.project_gdf(gdf, to_crs={'init': 'epsg:3857'})
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fig, ax = osmnx.plot_buildings(gdf_proj, bgcolor='#333333', color='w', figsize=(4,4),
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save=True, show=False, close=True,
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filename='test_buildings_preview', dpi=600)
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# save
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test_dir = os.path.dirname(__file__)
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test_data_geojson = str(os.path.join(test_dir, 'test_buildings.geojson'))
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subprocess.run(["rm", test_data_geojson])
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gdf_to_save = gdf_proj.reset_index(
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)[
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['index', 'geometry']
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]
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gdf_to_save.rename(
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columns={'index': 'fid'}
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).to_file(
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test_data_geojson, driver='GeoJSON'
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)
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# convert to CSV
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test_data_csv = str(os.path.join(test_dir, 'test_buildings.3857.csv'))
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subprocess.run(["rm", test_data_csv])
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subprocess.run(["ogr2ogr", "-f", "CSV", test_data_csv, test_data_geojson, "-lco", "GEOMETRY=AS_WKT"])
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# add SRID for ease of loading to PostgreSQL
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subprocess.run(["sed", "-i", "s/^\"POLYGON/\"SRID=3857;POLYGON/", test_data_csv])
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