Fix air quality reading

notebooks/environment.ipynb

@@ -25,7 +25,7 @@
     "import hvplot.pandas\n",
     "import pandas as pd\n",
     "import geopandas as gpd\n",
-    "from utils.dataaccess import gdf_from_wfs, get_weather_df, get_heatvulnerabilityindex_gdf"
+    "from utils.dataaccess import gdf_from_wfs, get_airquality_df, get_heatvulnerabilityindex_gdf"
    ]
   },
   {
@@ -43,7 +43,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "heatvulidx = get_heatvulnerabilityindex_gdf()"
+    "uhvi = get_heatvulnerabilityindex_gdf()"
    ]
   },
   {
@@ -52,14 +52,16 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "heatvulidx.hvplot(geo=True, tiles='OSM', c='AVG_UHVI_A', title='Average Urban Heat Vulnerability Index - All age groups').opts(active_tools=['wheel_zoom'])"
+    "uhvi.hvplot(geo=True, tiles='OSM', c='AVG_UHVI_A', title='Average Urban Heat Vulnerability Index - All age groups').opts(active_tools=['wheel_zoom'])"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Air Quality"
+    "## Air Quality\n",
+    "\n",
+    "Dataset: [Luftmessnetz: aktuelle Messdaten Wien](https://www.data.gv.at/katalog/dataset/luftmessnetz-aktuelle-messdaten-wien/)"
    ]
   },
   {
@@ -78,8 +80,8 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "weather = get_weather_df()\n",
-    "weather"
+    "air_quality = get_airquality_df()\n",
+    "air_quality"
    ]
   },
   {

notebooks/index.ipynb

@@ -19,7 +19,7 @@
     "## Lab notebooks\n",
     "\n",
     "1. [Accessing geodata from data.wien.gv.at services](wien-ogd.ipynb)\n",
-    "1. [Environmental conditions in Vienna](environment.ipynb)\n",
+    "1. [Monitoring environmental conditions in Vienna](environment.ipynb)\n",
     "1. [Geocoding addresses](geocoding.ipynb)\n",
     "1. [Getting elevation information](elevation.ipynb)"
    ]

notebooks/utils/dataaccess.py

@@ -49,14 +49,14 @@ def get_elevation(point):
             elevationall = line.split(' ', 1 )[1]
             return int(elevationall)
         
-def get_weather_df():
+def get_airquality_df():
     """
     Get data from https://go.gv.at/l9lumesakt
     """
     file = 'lumesakt.csv'
     url = 'https://go.gv.at/l9lumesakt'
     urlretrieve(url, file)
-    df = pd.read_csv(file)
+    df = pd.read_csv(file, sep=';', encoding='latin1')
     return df
 
 def get_heatvulnerabilityindex_df():