Update narrative.md

notebooks/narrative.md

@@ -50,7 +50,7 @@ After the setup and theory we start with the access to the satellite images and
 **Episode 6**  Vector data in Python *(refactoring of episode 7)*
 Once the participants have explored the area we are going to introduce them to vector data in python. We will let them obtain the geometry from Rhodos and use that as a mask to clip the satellite image with. We can either get the data from the build in datasets in geopandas or get them from [GADM](https://gadm.org/download_country.html) the [geopackage](https://geodata.ucdavis.edu/gadm/gadm4.1/gpkg/gadm41_GRC.gpkg) or the [shapefile](https://geodata.ucdavis.edu/gadm/gadm4.1/shp/gadm41_GRC_shp.zip) (level-3). They will first learn how to select a polygon by it's attribute. 
 
-Next, we will download data from OpenStreetMaps, for this various options are available see [https://wiki.openstreetmap.org/wiki/Downloading_data](https://wiki.openstreetmap.org/wiki/Downloading_data) of which [Geobarik](https://download.geofabrik.de/) is the easiest one. We might lateron consider to include an episode here where we dive into the API in which we configure the download exactly to our area of interest. In the narrative we explain that we want to do this in order to see which infrastructure and build environment were harmed during the wildfire. We will either ask them to download the whole of [Greece](https://download.geofabrik.de/europe/greece.html) or prepare a selection of that dataset. 
+Next, we will download data from OpenStreetMaps, for this various options are available see [https://wiki.openstreetmap.org/wiki/Downloading_data](https://wiki.openstreetmap.org/wiki/Downloading_data) of which [Geofabrik](https://download.geofabrik.de/) is the easiest one. We might lateron consider to include an episode here where we dive into the API in which we configure the download exactly to our area of interest. In the narrative we explain that we want to do this in order to see which infrastructure and build environment were harmed during the wildfire. We will either ask them to download the whole of [Greece](https://download.geofabrik.de/europe/greece.html) or prepare a selection of that dataset.