Sentence examples for distribution models using from inspiring English sources

We developed four species distribution models using eight spectral indices derived from five months of Landsat 8 Operational Land Imager (OLI) data in 2014.

We conclude that it is relatively easy to add spatial context into species distribution models using this post-hoc method, and the resulting models are better for predicting species' distributions.

We developed distribution models using two distinct techniques, the Maximum Entropy [45] which is a relatively more complex and robust model [46] and BIOCLIM [47] which is simpler in its calculations.

A comparison of four precipitation distribution models used in daily stochastic models.

Parameters of the crack distribution models used in the simulations.

Other parameters of the crack distribution models used are summarized in Table 1.

Relevant gene distribution models, used to investigate patchy, non-phylogenetic gene distributions, have been the subjects of several studies [ 44, 45].

Phylogenetic information could also be used to inform future iterations of the species distribution models used here by enabling the model to characterize and map environmental suitability for different vector subspecies.

To overcome previous modelling limitations, a probabilistic species distribution model using Boosted Regression Trees (BRT) was produced for each vector.

The environmental variables were used to build a community distribution model using generalized linear models to predict high and low suitability zones of each community in the EGSL.

We explored the effect of varying pseudo-absence data in species distribution modelling using empirical data for four real species and simulated data for two imaginary species.