Assesses niche climate exposure by interpreting projected climate
    change relative to the climate conditions a species currently occupies.
    Using occurrence records, range data or thresholded SDM suitability maps,
    current environmental rasters and future projections, the package separates
    climate change amount, change in distance to the current niche centre,
    composition change and exceedance beyond an empirical niche boundary.

An automated and streamlined workflow for predictive climate 
             mapping using climate station data. Works within an environment 
             the user provides a destined path to - otherwise it's tempdir().
             Quick and relatively easy creation of resilient and reproducible 
             climate models, predictions and climate maps, shortening the
             usually long and complicated work of predictive modelling. 
             For more information, please find the provided URL.
             Many methods in this package are new, but the main method is based
             on a workflow from 
             Meyer (2019) <doi:10.1016/j.ecolmodel.2019.108815> 
             and 
             Meyer (2022) <doi:10.1038/s41467-022-29838-9> , however, it was generalized and adjusted in the context of this package.

Set of tools to compute metrics and indices for climate analysis.
    The package provides functions to compute extreme indices, evaluate the
    agreement between models and combine theses models into an ensemble. Multi-model
    time series of climate indices can be computed either after averaging the 2-D
    fields from different models provided they share a common grid or by combining
    time series computed on the model native grid. Indices can be assigned weights
    and/or combined to construct new indices. The package makes use of some of the
    methods described in:
    N. Manubens et al. (2018) <doi:10.1016/j.envsoft.2018.01.018>.

Contains functions to detect and visualise periods of climate
    sensitivity (climate windows) for a given biological response. 
    Please see van de Pol et al. (2016) <doi:10.1111/2041-210X.12590> 
    and Bailey and van de Pol (2016) <doi:10.1371/journal.pone.0167980> for details.