ogd-at-lab/notebooks/index.ipynb

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 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Welcome to the OGD.AT Lab!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "from os.path import exists\n",
    "from urllib.request import urlretrieve\n",
    "import pandas as pd\n",
    "import geopandas as gpd\n",
    "from shapely.geometry import Point\n",
    "import hvplot.pandas"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Fetching geodata from data.wien.gv.at WFS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "SIZE = 400"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def gdf_from_wfs(layer):\n",
    "    file = f'{layer}.json'\n",
    "    url = f\"https://data.wien.gv.at/daten/geo?service=WFS&request=GetFeature&version=1.1.0&typeName=ogdwien:{layer}&srsName=EPSG:4326&outputFormat=json\"\n",
    "    if not exists(file):\n",
    "        urlretrieve(url, file)\n",
    "    return gpd.read_file(file)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf = gdf_from_wfs('ELADESTELLEOGD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf.hvplot(geo=True, tiles='OSM', width=SIZE, height=SIZE, hover_cols=['DESIGNATION']).opts(active_tools=['wheel_zoom'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "def hvplot_with_buffer(gdf, buffer_size, title=''):\n",
    "    buffered = gdf.to_crs('epsg:31287').buffer(buffer_size)\n",
    "    buffered = gdf.copy().set_geometry(buffered).to_crs('epsg:4326')\n",
    "    \n",
    "    plot = ( buffered.hvplot(geo=True, title=title, tiles='OSM', width=SIZE, height=SIZE, alpha=0.5, line_width=0) * \n",
    "      gdf.hvplot(geo=True, hover_cols=['DESIGNATION']) \n",
    "    ).opts(active_tools=['wheel_zoom'])\n",
    "    \n",
    "    return plot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hvplot_with_buffer(gdf, 100)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "gdf2 = gdf_from_wfs('CITYBIKEOGD')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hvplot_with_buffer(gdf, 100, title='EV Charging Stations') + hvplot_with_buffer(gdf2, 100, title='Citybike Stations')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Visualize features around an address"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import geopy\n",
    "from geopy.geocoders import Nominatim"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "address = \"Giefinggasse 2, 1210 Wien\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "locator = Nominatim(user_agent=\"myGeocoder\")\n",
    "location = locator.geocode(address)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "print(location.address)\n",
    "print(\"Latitude = {}, Longitude = {}\".format(location.latitude, location.longitude))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "geocoded_gdf = gpd.GeoDataFrame(pd.DataFrame([\n",
    "    {'geometry': Point(location.longitude, location.latitude), 'address': address}\n",
    "])).set_crs('epsg:4326')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "hvplot_with_buffer(geocoded_gdf, 1000, title='EV Charging Stations') * gdf.hvplot(geo=True).opts(active_tools=['wheel_zoom']) "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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