Inferring Causalities in Landscape Genetics: An Extension of Wright’s Causal Modeling to Distance Matrices

@article{Fourtune2018InferringCI,
  title={Inferring Causalities in Landscape Genetics: An Extension of Wright’s Causal Modeling to Distance Matrices},
  author={Lisa Fourtune and J. Prunier and I. Paz-Vinas and G. Loot and Charlotte Veyssi{\`e}re and S. Blanchet},
  journal={The American Naturalist},
  year={2018},
  volume={191},
  pages={491 - 508}
}
Identifying landscape features that affect functional connectivity among populations is a major challenge in fundamental and applied sciences. Landscape genetics combines landscape and genetic data to address this issue, with the main objective of disentangling direct and indirect relationships among an intricate set of variables. Causal modeling has strong potential to address the complex nature of landscape genetic data sets. However, this statistical approach was not initially developed to… Expand
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