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Fall et al. (2007) describes the mathematical/conceptual aspects of MPG, MST, etc. which can be used to develop tests to ensure our algorithm produces correct results.
click the badges below to see more detailed coverage info:
master
development
see http://r-pkgs.had.co.nz/tests.html
NOTE: this list is likely incomplete.
classes
mpg
goc
hce
grain
corridor
methods
corridor
distance
GOC
grain
graphdf
-- this one is probably the easiest to start with: compare an igraph object to the resulting data.frameMPG
-- current tests for not all patches linked by MPG() #32 check the igraph object but not the produced raster.point
thresholds
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