Fixed typo in Loft Splines and Structured Unfiform vs Resolution

docs/includes/nodes/uniform_vs_resolution.rst

@@ -8,4 +8,12 @@ To understand this better lets look at the following example:
 
 .. image:: /includes/nodes/images/uniform_vs_resolution_interpolation.png
 
-The above example shows 2 identical splines, The splines have some small handles as well as large ones, the small handles shows high density parts(dense geometry)---You can see those parts where lines are close to each others---while the large ones show low density parts(relaxed geometry). If we were to plug some values`0.1`,`0.2`,`0.3`,... in the parameter input when using **Uniform** option, we will get some equally distant points---See upper spline---and that makes sense because we plugged in some numbers at regular intervals. Now If we were to plug some values`0.1`,`0.2`,`0.3`,... in the parameter input when using **Resolution** option, we will get some irregularly distant points---See lower spline---we plugged in some numbers at regular intervals and we got some points at different distances. We conclude that the **Uniform** option sample point in regardless of the geometry of the spline while **Resolution** option sample points based on the geometry of the spline. It is also observed that the **Uniform** option took much longer time to sample than the **Resolution** and that is the cost of using **Uniform**.
+The above example shows 2 identical splines where the upper one uses **Uniform** and the other uses **Resolution**.
+If one were to sample some points at regular intervals on both splines, He would observe that:
+
+- Points on **Uniform** are regularly distributed.
+- Points on **Resolution** are dense at some areas and spaced at others.
+
+So we notice that **Resolution** care about the geometry of the spline and so a regularly spaced parameters will be closer at parts of the spline where it has dense geometry and spaced at relaxed parts.
+
+**Uniform** on the other hand will yield results based on the actual distance along the spline, however, it is much slower to compute.