Hi Stephanie,

Your lecture looks great!  I only have a couple of minor suggestions:

You might want to point out some more that edge detection and clustering methods have similar goals in genetics, even though they are analytically different.  Perhaps we should think about combining these complementary analyses more often.  (Maybe cite Jacquez, G.M., Kaufmann, A., Goovaerts, P (2008) Boundaries, links and clusters: a new paradigm in spatial analysis? Environmental and Ecological Statistics 15(4): 403-419.)

I think it’s important that students in the course realize that they should always use more than one program, for example one spatial and one non-spatial clustering method.  It’s also crucial that we start to report exactly how we interpreted outputs of these programs and what decisions we made to derive final conclusions.

For the sampling effects on Structure results, you might also want to cite:

Schwartz MK, McKelvey KS (2009) Why sampling scheme matters: the effect of sampling scheme on landscape gnetic results. Conserv Genet. doi:10.1007/s10592-008-9622-1

Finally, on slide 47, where you suggest that assignment probability can be linked to the landscape, you might wan to cite:

Murphy, M.A., Evans, J.S., Cushman, S.A., Storfer, A. (2009) Representing genetic variation as continuous surfaces: an approach for identifying spatial dependency in landscape genetic studies.  Ecography 31: 685-697.

Thank you Niko.

Stéphanie

Hi Stephanie,

 

Your lecture looks great!  I only have a couple of minor suggestions:

 

You might want to point out some more that edge detection and clustering methods have similar goals in genetics, even though they are analytically different.  Perhaps we should think about combining these complementary analyses more often.  (Maybe cite Jacquez, G.M., Kaufmann, A., Goovaerts, P (2008) Boundaries, links and clusters: a new paradigm in spatial analysis? Environmental and Ecological Statistics 15(4): 403-419.)

I think it’s important that students in the course realize that they should always use more than one program, for example one spatial and one non-spatial clustering method.  It’s also crucial that we start to report exactly how we interpreted outputs of these programs and what decisions we made to derive final conclusions.

 

For the sampling effects on Structure results, you might also want to cite:

Schwartz MK, McKelvey KS (2009) Why sampling scheme matters: the effect of sampling scheme on landscape gnetic results. Conserv Genet. doi:10.1007/s10592-008-9622-1

 

Finally, on slide 47, where you suggest that assignment probability can be linked to the landscape, you might wan to cite:

Murphy, M.A., Evans, J.S., Cushman, S.A., Storfer, A. (2009) Representing genetic variation as continuous surfaces: an approach for identifying spatial dependency in landscape genetic studies.  Ecography 31: 685-697.