Displaying 10 items

Data use

Improving species distribution models using satellite data

Species distributions models (SDMs) rely on accurate climatic data to predict the potential ranges of species, however, climatic datasets are often based on interpolations between weather stations. In regions where stations are scarce, such as the tropics, modelling can therefore be problematic.

Data use

Getting absence from presence

When modelling species distributions based on occurrences, absence is often derived from lack of presence (pseudo-absence), but absence could be due to poor surveying or species behaviour.  This paper presents a novel methodology to predict absence information from presence-only information.