text: of the sample of SF crimne data. import matplotlib.pyplot as plt# Load San Francisco map datasf = gpd.read_file("https://data.sfgov.org/resource/3psu-pn9h.geojson")# Plot the San Francisco map and the pointsfig, ax = plt.subplots(figsize=(10, 10))sf.plot(ax=ax, color="white", edgecolor="black")gdf.plot(ax=ax, color="red", markersize=5)plt.show()    ![png](_geopandas_files/output_7_0.png)    Load GeoPandas dataframe as a Document for downstream processing (embedding, chat, etc). The geometry will be the default page_content columns, and all other columns are placed in metadata.But, we can specify the page_content_column.from langchain.document_loaders import GeoDataFrameLoaderloader = GeoDataFrameLoader(data_frame=gdf, page_content_column="geometry")docs = loader.load()docs[0]    Document(page_content='POINT (-122.420084075249 37.7083109744362)', metadata={'pdid': '4133422003074', 'incidntnum': '041334220', 'incident_code': '03074', 'category': 'ROBBERY', 'descript': 'ROBBERY, BODILY FORCE', 'dayofweek': 'Monday', 'date': '2004-11-22T00:00:00.000', 'time': '17:50', 'pddistrict': 'INGLESIDE', 'resolution': 'NONE', 'address': 'GENEVA AV / SANTOS ST', 'x': '-122.420084075249', 'y': '37.7083109744362', 'location': {'type': 'Point', 'coordinates': [-122.420084075249, 37.7083109744362]},