Correct spelling mistakes. (#615)

doc/source/mapping.rst

@@ -73,7 +73,7 @@ The way color maps are scaled can also be manipulated with the ``scheme`` option
 Maps with Layers
 -----------------
 
-There are two strategies for making a map with multiple layers -- one more succinct, and one that is a littel more flexible.
+There are two strategies for making a map with multiple layers -- one more succinct, and one that is a little more flexible.
 
 Before combining maps, however, remember to always ensure they share a common CRS (so they will align).
 

geopandas/tests/test_geodataframe.py

@@ -578,7 +578,7 @@ class TestConstructor:
         assert_index_equal(df.index, pd.Index([1, 2]))
         assert df['A'].tolist() == [1, 2]
 
-        # one non-series -> lenght is not correct
+        # one non-series -> length is not correct
         data = {"A": pd.Series(range(3)), "B": np.arange(3.0),
                 "geometry": GeoSeries([Point(x, x) for x in range(3)])}
         with pytest.raises(ValueError):

geopandas/tests/test_overlay.py

@@ -43,11 +43,11 @@ class TestDataFrame:
         assert 'value1' in df.columns and 'Shape_Area' in df.columns
 
     def test_union_no_index(self):
-        # explicitly ignore indicies
+        # explicitly ignore indices
         dfB = overlay(self.polydf, self.polydf2, how="union", use_sindex=False)
         assert dfB.shape == self.union_shape
 
-        # remove indicies from df
+        # remove indices from df
         self.polydf._sindex = None
         self.polydf2._sindex = None
         dfC = overlay(self.polydf, self.polydf2, how="union")

geopandas/tests/test_plotting.py

@@ -620,7 +620,7 @@ def _check_colors(N, actual_colors, expected_colors, alpha=None):
     expected_colors : sequence of RGBA tuples
     alpha : float (optional)
         If set, this alpha transparency will be applied to the
-        `expected_colors`. (Any transparency on the `collecton` is assumed
+        `expected_colors`. (Any transparency on the `collection` is assumed
         to be set in its own facecolor RGBA tuples.)
     """
     import matplotlib.colors as colors

geopandas/tools/overlay.py

@@ -174,5 +174,5 @@ def overlay(df1, df2, how, use_sindex=True):
         out_series['geometry'] = newpoly
         collection.append(out_series)
 
-    # Return geodataframe with new indicies
+    # Return geodataframe with new indices
     return GeoDataFrame(collection, index=range(len(collection)))