Accessing Geodata from Data.wien.gv.at Services

Binder

For more information on open government data in Vienna visit digitales.wien.gv.at

For a full list of available datasets go to data.gv.at

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import hvplot.pandas
from utils.dataaccess import gdf_from_wfs
from utils.plotting import hvplot_with_buffer

For example, Citybike stations:

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gdf = gdf_from_wfs('CITYBIKEOGD')
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gdf.hvplot(geo=True, tiles='OSM', hover_cols=['STATION']).opts(active_tools=['wheel_zoom'])

300 meters is often cited as the maximum walking distance to a bicycle sharing station.

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hvplot_with_buffer(gdf, 300)
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gdf2 = gdf_from_wfs('ELADESTELLEOGD')

By comparision, the network of EV charging stations is much more comprehensive:

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hvplot_with_buffer(gdf, 100, title='Citybike Stations') + hvplot_with_buffer(gdf2, 100, title='EV Charging Stations')
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election_districts = gdf_from_wfs('WAHLSPRGR2020OGD')
election_districts.hvplot(geo=True, tiles='OSM', alpha=0.5).opts(active_tools=['wheel_zoom'])
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