diff --git a/docs/conf.py b/docs/conf.py
index d1aac79..05fa4bb 100644
--- a/docs/conf.py
+++ b/docs/conf.py
@@ -79,6 +79,7 @@ def __getattr__(cls, name):
     "pandas": ("https://pandas.pydata.org/pandas-docs/stable/", None),
     "numpy": ("https://numpy.org/doc/stable/", None),
     "monetio": ("https://monetio.readthedocs.io/en/stable/", None),
+    "matplotlib": ("https://matplotlib.org/stable/", None),
 }
 
 
diff --git a/monet/monet_accessor.py b/monet/monet_accessor.py
index 9965b2b..47b260e 100644
--- a/monet/monet_accessor.py
+++ b/monet/monet_accessor.py
@@ -960,10 +960,9 @@ def _check_kwargs_and_set_defaults(**kwargs):
         return kwargs
 
     def quick_imshow(self, map_kws=None, roll_dateline=False, **kwargs):
-        """This function takes an xarray DataArray and quickly creates a figure
-        using cartopy and matplotlib ``imshow``.
+        """Quickly create a geo-referenced image plot using Cartopy and Matplotlib.
 
-        Note that this should only be used for regular grids.
+        Note that this should only be used for regular grids (e.g. rectangular lat/lon grid).
 
         Parameters
         ----------
@@ -1028,8 +1027,7 @@ def quick_imshow(self, map_kws=None, roll_dateline=False, **kwargs):
         return ax
 
     def quick_map(self, map_kws=None, roll_dateline=False, **kwargs):
-        """This function takes an xarray DataArray and quickly creates a figure
-        using cartopy and matplotlib ``pcolormesh``.
+        """Quickly create a geo-referenced plot using Cartopy and Matplotlib.
 
         Parameters
         ----------
@@ -1041,6 +1039,7 @@ def quick_map(self, map_kws=None, roll_dateline=False, **kwargs):
             at 0 degrees.
         **kwargs :
             kwargs for :meth:`xarray.DataArray.plot.pcolormesh`
+            (actually passed to :meth:`xarray.DataArray.plot`, but pcolormesh is the usual result)
 
         Returns
         -------
@@ -1087,8 +1086,7 @@ def quick_map(self, map_kws=None, roll_dateline=False, **kwargs):
         return ax
 
     def quick_contourf(self, map_kws=None, roll_dateline=False, **kwargs):
-        """This function takes an xarray DataArray and quickly creates a figure
-        using cartopy and matplotlib ``contourf``.
+        """Quickly create a geo-referenced filled-contour plot using Cartopy and Matplotlib.
 
         Parameters
         ----------
diff --git a/monet/plots/mapgen.py b/monet/plots/mapgen.py
index 5655a0c..ddae0ba 100644
--- a/monet/plots/mapgen.py
+++ b/monet/plots/mapgen.py
@@ -44,7 +44,7 @@ def draw_map(
     extent : array-like
         Set the map extent with ``[lon_min,lon_max,lat_min,lat_max]``.
     figsize : tuple
-        Figure size (width, height), passed to ``plt.subplots()``.
+        Figure size (width, height), passed to :func:`plt.subplots() <matplotlib.pyplot.subplots>`.
         This takes precedence over the possible ``kwargs['figsize']``.
     linewidth : float
         Line width for coastlines, states, counties, and countries.
@@ -52,7 +52,7 @@ def draw_map(
         Return the figure and axes objects.
         By default (``False``), just the axes object is returned.
     **kwargs
-        Arguments pass to ``plt.subplots()``.
+        Arguments to pass to :func:`plt.subplots() <matplotlib.pyplot.subplots>`.
 
     Returns
     -------