Data for SSF analysis of wolf

Data used to model the relative probability of making steps for wolf in winter as a function of step length and features of the networks of its prey (Table 7). Covariates are provided at observed steps and at random steps.

Bibliographic Details
Main Authors:	Courbin, Nicolas, Fortin, Daniel, Dussault, Christian, Courtois, R.
Format:	Dataset
Language:	unknown
Published:	Dryad Digital Repository 2014
Subjects:	Predator-prey interaction Graph theory Connectivity Spatial game Côte Nord Québec Canada Boreal forest Alces alces Caribou rangifer tarandus Canis lupus Rangifer tarandus
Online Access:	https://dx.doi.org/10.5061/dryad.h65f4/11 http://datadryad.org/resource/doi:10.5061/dryad.h65f4/11

Description
Summary:	Data used to model the relative probability of making steps for wolf in winter as a function of step length and features of the networks of its prey (Table 7). Covariates are provided at observed steps and at random steps.