An automated method to derive habitat preferences of wildlife in GIS and telemetry studies: A flexible software tool and examples of its application

摘要: The conservation of wildlife is closely linked with its habitat. Knowing the preferred habitat crucial for most managers and researchers to conserve effectively. Here we present an software approach ‘presence only’ (wildlife location) data in order derive preferences automated but flexible fashion. based on presence random locations, e.g. derived from a telemetry GIS study, uses instance GLM (Generalized Linear Model) develop Resource Selection Functions (RSF). presented very computationally powerful can easily be adjusted various applications. We show how this used applications by using endangered charismatic species as examples. In addition, give outlook future method.