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Different types of design can be used in spatial sampling. The choice of the sampling design depends on the phenomenon investigated or may also be influenced by the methods of measurement.
Note the ranges without samples – the phenomenon to be analyzed is underrepresented there.
The selection shown below is by no means complete. However, it shows that "systematic" does not necessarily mean, "square"!
Do you recognize the similarity of this type with the uniform sampling? The criterion here is not a minimum distance, but the division of the area into uniform subsets (strata).
The idea of a stratified random sample is applied here to an irregular grid. For example, this could represent administrative districts.
You should have good reasons for selecting this sampling design. This design could also be a primary stage for values to be averaged within the cluster.
Have a look at the following Flash animation showing examples of different types of sampling applied to Switzerland. The digital elevation model is shown as background information.