A GIS modelling method applied to predicted landscape-level habitat preference

A GIS-Based Landscape Scale Model for Native Bee Habitat

Modelling in landscape ecology – regionalisation by means of habitat modelling

Figure 1: Principle of habitat modelling: sampling of species distribution data (here: presence-absence data) and selected predictor variables; estimating an empirical, predictive model (in this case: by logistic regression a generalised linear model for binary response variables, other, more flexible approaches are generalised additive models, classification and regression trees, artificial ne...

A method for modelling GP practice level deprivation scores using GIS

BACKGROUND A measure of general practice level socioeconomic deprivation can be used to explore the association between deprivation and other practice characteristics. An area-based categorisation is commonly chosen as the basis for such a deprivation measure. Ideally a practice population-weighted area-based deprivation score would be calculated using individual level spatially referenced data...

Modelling species distribution when habitat occupancy departs from suitability Application to birds in a landscape context

Leaf energy balance modelling as a tool to infer habitat preference in the early angiosperms

Despite more than a century of research, some key aspects of habitat preference and ecology of the earliest angiosperms remain poorly constrained. Proposed growth ecology has varied from opportunistic weedy species growing in full sun to slow-growing species limited to the shaded understorey of gymnosperm forests. Evidence suggests that the earliest angiosperms possessed low transpiration rates...