![]() ![]() For instance, instead of depth, one can use altitude for a land species to get a better descriptor of the distance. Of course, the system might be more complex and not limited to aquatic organisms. When I was programming this example, I was thinking about an animal in a aquatic environment that can move over the 3 dimensions without many obstacles. In this post I show a possible application to a 3 dimensional environment with the respective distance matrix. One possible use was described in our second article with distances considering the habitat resistance. This opens a avenue for future applications. To include this in our model we decided to substantially change the method to incorporate an user defined distance metric. The movement of species is not free but rather constrained by landscape features (altitude, habitat, etc) that offer resistance to migration. However, we soon realized that other factors were important to derive the spatial occupancy of the lineages. This was the method used in our first publication. On the biological domain, this is equivalent to a isolation by distance model, where only the distance serves as driver of change. Typical spatial interpolation uses the Euclidean distance over a pair of coordinates. The distance between a location with a unknown value and the samples is used as predictor for the interpolated value. In this series I will describe in more detail each of the examples shown there. Instead of repeating what is already available in the documentation with the package ( here, here, or here), I decided to describe a set of three possible applications of phylin that would show some of the potential of the method. This was a small post to highlight some of the main features of the phylin R package I have developed with my colleagues. Last September I was invited to make a post on the Molecular Ecology Spotlight. ![]()
0 Comments
Leave a Reply. |