Example of parallel computing for ecology connectivity

[AliciaMstt]

Circuitscape borrows algorithms from electronic circuit theory to predict connectivity in heterogeneous landscapes. Landscapes are represented as conductive surfaces, with low resistances assigned to landscape features types that are most permeable to movement or best promote gene flow, and high resistances assigned to movement barriers. Effective resistances, current flow, and voltages calculated across the landscapes can then be related to ecological processes, such as individual movement and gene flow. More detail about the underlying model, its parameterization, and potential applications in ecology, evolution, and conservation planning can be found in McRae (2006) and McRae et al. (2008).

Circuitscape was originally designed to analyze connectivity across raster grids. With version 4.0, it can now analyze arbitrary networks (graphs) with any set of connections between nodes the user specifies.

It was written in python, but due to computational constrains they are developing a new version in julia. Could be a cool example.

https://circuitscape.org/

https://github.com/Circuitscape/Circuitscape.jl

[palmoreck]

quickLD: an efficient software for linkage disequilibrium analyses

https://onlinelibrary.wiley.com/doi/abs/10.1111/1755-0998.13438

https://github.com/pephco/quickLD