Core R Team's scientific contributions
What is this page?
This page lists the scientific contributions of an author, who either does not have a ResearchGate profile, or has not yet added these contributions to their profile.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
It was automatically created by ResearchGate to create a record of this author's body of work. We create such pages to advance our goal of creating and maintaining the most comprehensive scientific repository possible. In doing so, we process publicly available (personal) data relating to the author as a member of the scientific community.
If you're a ResearchGate member, you can follow this page to keep up with this author's work.
If you are this author, and you don't want us to display this page anymore, please let us know.
Citations
... Pearson correlation analysis was conducted to detect the relationship between the variables, and the linear regression was conducted to describe the relationship between them. The statistical analyses were carried out by using R software [25]. ...
... We independently modeled the presence of each species using the niche modeling algorithm MaxEnt integrated in the 'dismo' package [24] for R [25]. Models were developed with linear and quadratic features, using a variable number of background points (10,000-100,000), 10 replicates per species were modeled, and 70% of points for training purposes. ...
