Spatial Analysis - Dr. Marie-Josée Fortin & Helene Wagner

This lecture digs deeper into the methods we use in the analysis of spatial data.  In particular, it covers:

• 1. Challenges of linking pattern and process

  2. Approaches to linking landscape features and genetic data

  3. A taxonomy of analytical approaches

     • Node-based

     • Link-based

     • Neighborhood-based

     • Boundary-based

Readings

Required reading:

• • Wagner HH, M-J Fortin. 2013. A conceptual framework for the spatial analysis of landscape genetic data. Conservation Genetics 14: 253-261.

Recommended readings: 

• Case study for lecture and lab: Rico, Y., Holderegger, R., Boehmer, H.J. and Wagner, H.H. (2014), Directed dispersal by rotational shepherding supports landscape genetic connectivity in a calcareous grassland plant. Mol Ecol, 23: 832-842. doi:10.1111/mec.12639

• MLPE: Row, JR, Knick, ST, Oyler‐McCance, SJ, Lougheed, SC, Fedy, BC. (2017). Developing approaches for linear mixed modeling in landscape genetics through landscape‐directed dispersal simulations. Ecol Evol. 2017; 7: 3751– 3761. https://doi.org/10.1002/ece3.2825

Lecture Slides

Week 7 slides

Lecture Video