2828def  st_area (series : bigframes .series .Series ) ->  bigframes .series .Series :
2929    """ 
3030    Returns the area in square meters covered by the polygons in the input 
31-     GEOGRAPHY. 
31+     ` GEOGRAPHY` . 
3232
3333    If geography_expression is a point or a line, returns zero. If 
3434    geography_expression is a collection, returns the area of the polygons 
3535    in the collection; if the collection doesn't contain polygons, returns zero. 
3636
3737
38-     ..note:: 
38+     ..  note:: 
3939        BigQuery's Geography functions, like `st_area`, interpret the geometry 
4040        data type as a point set on the Earth's surface. A point set is a set 
4141        of points, lines, and polygons on the WGS84 reference spheroid, with 
@@ -98,14 +98,14 @@ def st_difference(
9898    series : bigframes .series .Series , other : bigframes .series .Series 
9999) ->  bigframes .series .Series :
100100    """ 
101-     Returns a GEOGRAPHY that represents the point set difference of 
101+     Returns a ` GEOGRAPHY`  that represents the point set difference of 
102102    `geography_1` and `geography_2`. Therefore, the result consists of the part 
103103    of `geography_1` that doesn't intersect with `geography_2`. 
104104
105-     If `geometry_1` is completely contained in `geometry_2`, then ST_DIFFERENCE 
106-     returns an empty GEOGRAPHY. 
105+     If `geometry_1` is completely contained in `geometry_2`, then ` ST_DIFFERENCE`  
106+     returns an empty ` GEOGRAPHY` . 
107107
108-     ..note:: 
108+     ..  note:: 
109109        BigQuery's Geography functions, like `st_difference`, interpret the geometry 
110110        data type as a point set on the Earth's surface. A point set is a set 
111111        of points, lines, and polygons on the WGS84 reference spheroid, with 
@@ -119,7 +119,7 @@ def st_difference(
119119        >>> from shapely.geometry import Polygon, LineString, Point 
120120        >>> bpd.options.display.progress_bar = None 
121121
122-     We can check two GeoSeries against each other, row by row.  
122+     We can check two GeoSeries against each other, row by row:  
123123
124124        >>> s1 = bigframes.geopandas.GeoSeries( 
125125        ...    [ 
@@ -168,32 +168,32 @@ def st_difference(
168168
169169    We can also check difference of single shapely geometries: 
170170
171-         >>> sbq1  = bigframes.geopandas.GeoSeries( 
171+         >>> polygon_s1  = bigframes.geopandas.GeoSeries( 
172172        ...     [ 
173173        ...         Polygon([(0, 0), (10, 0), (10, 10), (0, 0)]) 
174174        ...     ] 
175175        ... ) 
176-         >>> sbq2  = bigframes.geopandas.GeoSeries( 
176+         >>> polygon_s2  = bigframes.geopandas.GeoSeries( 
177177        ...     [ 
178178        ...         Polygon([(4, 2), (6, 2), (8, 6), (4, 2)]) 
179179        ...     ] 
180180        ... ) 
181181
182-         >>> sbq1  
182+         >>> polygon_s1  
183183        0    POLYGON ((0 0, 10 0, 10 10, 0 0)) 
184184        dtype: geometry 
185185
186-         >>> sbq2  
186+         >>> polygon_s2  
187187        0    POLYGON ((4 2, 6 2, 8 6, 4 2)) 
188188        dtype: geometry 
189189
190-         >>> bbq.st_difference(sbq1, sbq2 ) 
190+         >>> bbq.st_difference(polygon_s1, polygon_s2 ) 
191191        0    POLYGON ((0 0, 10 0, 10 10, 0 0), (8 6, 6 2, 4... 
192192        dtype: geometry 
193193
194194    Additionally, we can check difference of a GeoSeries against a single shapely geometry: 
195195
196-         >>> bbq.st_difference(s1, sbq2 ) 
196+         >>> bbq.st_difference(s1, polygon_s2 ) 
197197        0    POLYGON ((0 0, 2 2, 0 2, 0 0)) 
198198        1                              None 
199199        2                              None 
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