notebooks/wien-ogd.ipynb

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   "source": [
    "# Accessing Geodata from Data.wien.gv.at Services\n",
    "\n",
    "[![Binder](http://mybinder.org/badge_logo.svg)](https://mybinder.org/v2/gh/anitagraser/ogd-at-lab/main?urlpath=lab/tree/notebooks/wien-ogd.ipynb)\n",
    "\n",
    "<a href=\"https://www.data.gv.at/auftritte/?organisation=stadt-wien\"><img align=\"right\" src=\"./img/stadt-wien.png\"></a>\n",
    "\n",
    "This notebook demonstrates the use of vector data provided via WFS. For instructions on using WMS, see the [webmapping notebook](webmapping.ipynb).\n",
    "\n",
    "For more information on open government data in Vienna visit [digitales.wien.gv.at](https://digitales.wien.gv.at/site/open-data/)\n",
    "\n",
    "For a full list of available datasets go to [data.gv.at](https://www.data.gv.at/auftritte/?organisation=stadt-wien&searchterm=&formatFilter%5B%5D=WFS)\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import hvplot.pandas\n",
    "from utils.dataaccess import get_gdf_from_wfs\n",
    "from utils.plotting import hvplot_with_buffer\n",
    "from holoviews import opts\n",
    "\n",
    "opts.defaults(opts.Overlay(active_tools=['wheel_zoom'], frame_width=500, frame_height=400))\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For example, transport bicycle sharing stations:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = get_gdf_from_wfs('RADGRAETZELOGD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf.hvplot(geo=True, tiles='OSM', hover_cols='all')"
   ]
  },
  {
   "cell_type": "markdown",
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   "source": [
    "300 meters is often cited as the maximum walking distance to a bicycle sharing station."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hvplot_with_buffer(gdf, 300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf2 = get_gdf_from_wfs('ELADESTELLEOGD')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By comparision, the network of EV charging stations is much more comprehensive:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hvplot_with_buffer(gdf, 100, title='Bike Sharing Stations') + hvplot_with_buffer(gdf2, 100, title='EV Charging Stations')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "election_districts = get_gdf_from_wfs('WAHLSPRGR2020OGD')\n",
    "election_districts.hvplot(geo=True, tiles='OSM', alpha=0.5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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