move a doc paragraph
Various types of storage and indexing for voxels in 2 or 3 dimensions.
-If you need to store signed distance values in your voxels, consider using the
-[`Sd8`](self::signed_distance::Sd8) and [`Sd16`](self::signed_distance::Sd16)
-fixed-precision types which implement the
-[`SignedDistance`](self::signed_distance::SignedDistance) trait required for
-smooth meshing.
-
The core storage types are:
- [`Array`](self::array::Array): N-dimensional, single resolution, bounded,
@@ -21,3 +15,9 @@ Then there are "meta" lattice maps that provide some extra utility:
lattice map that performs an arbitrary transformation
- [`Func`](self::func::Func): some lattice map traits are implemented for
closures (like SDFs)
+
+If you need to store signed distance values in your voxels, consider using the
+[`Sd8`](self::signed_distance::Sd8) and [`Sd16`](self::signed_distance::Sd16)
+fixed-precision types which implement the
+[`SignedDistance`](self::signed_distance::SignedDistance) trait required for
+smooth meshing.
