Hello all:
I'm a regular user of R, but my knowledge of C++ is limited. I need to create functions to generate random landscapes (with two habitat classes) based on area and distance amongst patches. This would take quite a long time in R so I thought it would be better to use Rcpp (which seems a simpler way to integrate R and C++). I need to generate these landscapes for the current time and their evolution in the future (about 1000 to each of these time steps). I thought it would be better to generate these "landscapes" as multidimensional arrays but I'm finding it hard to work with C++. Would it be adequate to use this functions: rdlandscape <- cxxfunction(signature(x = "numeric"), body = "C++ code", plugin="Rcpp") I don't need to retain these objects after the run just calculate several parameters (as extinction probability) of a species that would be present in these landscapes. Any ideas? Best, Frederico Mestre
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