To map a particular area or a study area in Jupyter Notebook, you can use the following commands:

lon_min =

lat_min =

lon_max =

lat_max =

2. Create a GeoDataFrame with the bounding box coordinates:

import geopandas as gpd

bbox = gpd.GeoDataFrame(geometry=gpd.GeoSeries(box((lon_min, lat_min), (lon_max, lat_max))))

3.Use the 'contextily' library to add a basemap to the map:

import contextily as ctx

ax = bbox.plot()

ctx.add_basemap(ax, crs=bbox.crs.to_string(), source=ctx.providers.Stamen.Terrain)

4. Use the 'cartopy' library to plot the air quality data on top of the basemap:

import cartopy.crs as ccrs

import matplotlib.pyplot as plt

fig = plt.figure(figsize=(10, 10))

ax = fig.add_subplot(1, 1, 1, projection=ccrs.PlateCarree())

ax.set_extent([lon_min, lon_max, lat_min, lat_max], crs=ccrs.PlateCarree())

ax.add_feature(cartopy.feature.OCEAN)

ax.add_feature(cartopy.feature.LAND)

ax.add_feature(cartopy.feature.COASTLINE)

ax.add_feature(cartopy.feature.BORDERS)

# Plot the air quality data here

Note: The specific commands for plotting the air quality data will depend on the format and structure of your netCDF file.