Information-based summary statistics for spatial genetic structure inference

The input files and scripts for generating simulation as well as the analyses of summary statistics for manuscript "Qin. X, Gaggiotti. OE. 2022. Information-based summary statistics for spatial genetic structure inference". Submitted to Molecular Ecology and Resources.

Depository contains five folders: 

---| SS_performance 

      -----  |-Simulations 
              |-KLFDA 
              |-Randomforest
              |-Deep Neural Network
 
"Simulations" contains the input files and command lines for simulating the spatial scenarios using fastsimcal2 (fsc25, Excoffier et al., 2021), and the R scripts for calculating the summary statistics.

Other folders are the corresponding scripts of testing the performance of 9 subsets of summary statistics using different machine learning methods.