some alternative interpolation stacks for the examples

examples/interpolation_stacks.txt

+Some useful and reasonable interpolation stacks
+
+A fixed value following a nearest-neighbour interpolation is not required as the
+nn will already fill all remaining data points. So this is for safety in case the
+nn fails for some reason.
+
+1.) higher-order point-based interpolations
+
+<interpolation method="bernstein_bezier"/>
+<interpolation method="n-nearest_neighbor" n="4" weighted="DISTANCE_WEIGHTED"/>
+<interpolation method="fixed_value" user_value="-999.0"/>
+
+or
+
+<interpolation method="patch_recovery" polynomial_order="3" gauss_order="7" extend_source_patch="1" allow_extrapolation="0" />
+<interpolation method="n-nearest_neighbor" n="4" weighted="DISTANCE_WEIGHTED"/>
+<interpolation method="fixed_value" user_value="-999.0"/>
+
+2.) conservative interpolation stack
+
+<interpolation method="conservative" enforced_conservation="true" normalisation="DESTAREA" order="2" partial_coverage="false"/>
+<interpolation method="conservative" enforced_conservation="true" normalisation="FRACAREA" order="1" partial_coverage="false"/>
+<interpolation method="n-nearest_neighbor" n="4" weighted="DISTANCE_WEIGHTED"/>
+<interpolation method="fixed_value" user_value="-999.0"/>
+
+3.) experimental
+
+<interpolation method="radial_basis_function" rbf_kernel="GAUSS_KERNEL" rbf_scale="14.87973" />
+<interpolation method="n-nearest_neighbor" n="4" weighted="DISTANCE_WEIGHTED"/>
+<interpolation method="fixed_value" user_value="-999.0"/>
+
+