Removed potentially confusing comments
"source": [
"# Exploring OpenStreetMap using Pandas and the Python API\n",
"\n",
- "This notebook is based around a simple tool named <a href='https://github.com/Jwmazzi/osm_runner'>OSM Runner</a> that queries the OpenStreetMap (OSM) <a href='https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL'> Overpass API</a> and returns a Spatial Data Frame. Using the Python API inside of a Jupyter Notebook, we can develop map-driven tools to explore OSM with the full capabilities of the ArcGIS platform at our disposal. Be sure to update the GIS connection information in the cell below before proceeding. Additionally, you should be aware that this Notebook was written with the assumption that your environment does not have access to arcpy."
+ "This notebook is based around a simple tool named <a href='https://github.com/Jwmazzi/osm_runner'>OSM Runner</a> that queries the OpenStreetMap (OSM) <a href='https://wiki.openstreetmap.org/wiki/Overpass_API/Overpass_QL'> Overpass API</a> and returns a Spatial Data Frame. Using the Python API inside of a Jupyter Notebook, we can develop map-driven tools to explore OSM with the full capabilities of the ArcGIS platform at our disposal. Be sure to update the GIS connection information in the cell below before proceeding. \n",
+ "\n",
+ "This Notebook was written for an environment that does not have access to arcpy."
]
},
{
"source": [
"# Build Data Frames from Feature Layers & Extract Bounding Box\n",
"\n",
- "Let's assume we want to compare recycling amenities in OSM across 2 major cities. The first step will be to turn the boundaries for each city into a Data Frame via the GeoAccessor method from_layer(). Once we have a Data Frame for each city, we will use the Project operation of the Geometry Service in our GIS to get the envelope required to fetch data from Open Street Map. If our environment had access to ArcPy, we could have simply used the project() method of the GeoAccessor; e.g. dc_df.spatial.project()."
+ "Let's assume we want to compare recycling amenities in OSM across 2 major cities. The first step will be to turn the boundaries for each city into a Data Frame via the GeoAccessor method from_layer(). Once we have a Data Frame for each city, we will use the Project operation of the Geometry Service in our GIS to get the envelope required to fetch data from Open Street Map."
]
},
{
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
- "version": "3.6.9"
+ "version": "3.7.5"
},
"toc": {
"base_numbering": 1,
