From my understanding it's pretty easy to call Circuitscape from R. All you need to do is create the .ini files and then call cs_run.exe, which is located in the installation directory. We do that in Python, and I know others (Bill Peterman, who is in the Circuitscape user group comes to mind) do it using R. Note that we will be releasing a completely overhauled version (4.0) in the next 2 weeks (there's a beta version on GitHub if you want to see it sooner) that runs about 2.5 times faster and solves grids that are 4-5x larger. Hope this helps.

The authors of this paper uses Circuit Theory in R, but I think they wrote their own function. You can perhaps contact them

http://www.plosone.org/article/info%3Adoi%2F10.1371%2Fjournal.pone.0047141#pone.0047141-Csardi1

There are system tools in R that allow you to call python packages (I think circuitcape is one? See last post in this thread?

https://groups.google.com/forum/#!topic/circuitscape/klY0O01RGJA

From my understanding it's pretty easy to call Circuitscape from R. All you need to do is create the .ini files and then call cs_run.exe, which is located in the installation directory. We do that in Python, and I know others (Bill Peterman, who is in the Circuitscape user group comes to mind) do it using R. Note that we will be releasing a completely overhauled version (4.0) in the next 2 weeks (there's a beta version on GitHub if you want to see it sooner) that runs about 2.5 times faster and solves grids that are 4-5x larger. Hope this helps.

I'm away from my work computer until Tuesday, but if you want to dig into a roughly built R package, here is a link to my GitHub project:

https://github.com/wpeterman/ResistanceOptimization

And the paper that describes its use:

https://www.researchgate.net/publication/261477066_Ecological_resistance_surfaces_predict_fine_scale_genetic_differentiation_in_a_terrestrial_woodland_salamander?ev=prf_pub

In the package there are functions to write .ini files, call Circuitscape, and import results back into R. I can pass along the relevant components next week if I get a better idea of what you're looking for.

Article Ecological resistance surfaces predict fine scale genetic di...

Here is a function to run CS from R on Linux: https://github.com/rojaff/runCS

Of Course，R programming can solve the ecological modelling to compute the LeastCost path (LCP), Meanwhile the another application Linkagemapper can be used to finish the analysis. Meantime，there is a compatible version associated with R and ArcGIS to calculate the corridor and patch dynamics.Detail to see the introducation

https://circuitscape.org/linkagemapper/linkage-mapper-tools/

Additionally, pathmatrix is also available to complete this kind of task.

detail to see

http://cmpg.unibe.ch/software/pathmatrix/#download

HTH,

Chen

I would recomend to run Circuitscape in Julia, instead of any other environment. It is pretty easy, far more faster, and in both the website of circuitscape or youtube there are some tutorials. About LCP, If you don't want to use ArcGis (for linkage mapper), then you can perform factorial LCP using the scripts of LandecoR from the professor McGarigal. You can get them from: http://jamba.provost.ads.umass.edu/web/mcgarigal/landEco.html