@@ -25,7 +25,7 @@ cdef class TreeCell:
2525
2626 This cannot be created in python, it can only be accessed by indexing the
2727 :class:`~discretize.TreeMesh` object. ``TreeCell`` is the object being passed
28- to the user defined refine function when calling tshe
28+ to the user defined refine function when calling the
2929 :py:attr:`~discretize.TreeMesh.refine` method for a :class:`~discretize.TreeMesh`.
3030
3131 Examples
@@ -1219,19 +1219,19 @@ cdef class _TreeMesh:
12191219
12201220 This function takes an N-dimensional image, defined on the underlying fine tensor mesh,
12211221 and recursively subdivides each cell if that cell contains more than 1 unique value in the
1222- image. This is useful when using the TreeMesh to represent an exact compressed form of an input
1222+ image. This is useful when using the ` TreeMesh` to represent an exact compressed form of an input
12231223 model.
12241224
12251225 Parameters
12261226 ----------
12271227 image : (shape_cells) numpy.ndarray
1228- Must have the same shape as the base tensor mesh (TreeMesh.shape_cells), as if every cell on this mesh was
1228+ Must have the same shape as the base tensor mesh (` TreeMesh.shape_cells` ), as if every cell on this mesh was
12291229 refined to it's maximum level.
12301230 finalize : bool, optional
12311231 Whether to finalize after inserting point(s)
12321232 diagonal_balance : bool or None, optional
12331233 Whether to balance cells diagonally in the refinement, `None` implies using
1234- the same setting used to instantiate the TreeMesh`.
1234+ the same setting used to instantiate the ` TreeMesh`.
12351235
12361236 """
12371237 if diagonal_balance is None :
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