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Spatial sampling design using information more than spatial coordinates [SEC=UNCLASSIFIED]

The "clhs" package (http://cran.r-project.org/web/packages/clhs/) has 
some functionality for latin-hypercube sampling hence it is suitable for 
your case. Here are some code examples: 
http://gsif.isric.org/doku.php?id=wiki:tutorial_eberg#testing_the_feature_space_coverage

I have also recently (experimentally) implemented a function to test 
'efficiency of any sampling plan' which looks at both geographical space 
and feature space representation: 
http://gsif.r-forge.r-project.org/spsample.prob.html
If you discover a bug or some 'strange behavior', please let me know.

HTH,

T. (Tom) Hengl
Researcher @ ISRIC - World Soil Information
Team member Africa Soil Information Services http://africasoils.net
Url: http://www.wageningenur.nl/en/Persons/dr.-T-Tom-Hengl.htm
Network: http://profiles.google.com/tom.hengl
Publications: http://scholar.google.com/citations?user=2oYU7S8AAAAJ
On 8-4-2015 2:24, Jin.Li at ga.gov.au wrote: