examples: update kriging examples

GeoStat-Framework · Jul 17, 2020 · 684e28a · 684e28a
1 parent 67861b8
commit 684e28a
Show file tree

Hide file tree

Showing 2 changed files with 7 additions and 5 deletions.
diff --git a/examples/05_kriging/09_pseudo_inverse.py b/examples/05_kriging/09_pseudo_inverse.py
@@ -6,8 +6,8 @@
 One reason could be, that the input data contains redundant conditioning points
 that hold different values.
 
-To smoothly deal with such situations, you can switch on using the pseuodo
-inverse for the kriging matrix.
+To smoothly deal with such situations, you can use the pseudo
+inverse for the kriging matrix, which is enabled by default.
 
 This will result in the average value for the redundant data.
 

diff --git a/examples/05_kriging/README.rst b/examples/05_kriging/README.rst
@@ -46,9 +46,11 @@ the features you want:
   use the pseudo-inverse of the matrix. Then redundant conditional values will automatically
   be averaged.
 
-All mentioned features can be combined within the :any:`Krige` class.
-All other kriging classes are just shortcuts to this class with a limited list
-of input parameters.
+.. note::
+
+   All mentioned features can be combined within the :any:`Krige` class.
+   All other kriging classes are just shortcuts to this class with a limited list
+   of input parameters.
 
 The routines for kriging are almost identical to the routines for spatial random fields,
 with regard to their handling.