Grants access to three widely recognised modelled data sets, namely
    Global Climate Data (WorldClim 2), Climatologies at high resolution for the
    earth's land surface areas (CHELSA), and National Aeronautics and Space
    Administration's (NASA) Shuttle Radar Topography Mission (SRTM). It handles
    both multi and single geospatial polygon and point data, extracts outputs
    that can serve as covariates in various ecological studies. Provides two
    common graphic options – the Walter-Lieth (1960)
    <https://donum.uliege.be/bitstream/2268.1/7079/1/Walter-Lieth_Klimadiagramm-Weltatlas.pdf> 
    climate diagram and the Holdridge (1967)
    <https://reddcr.go.cr/sites/default/files/centro-de-documentacion/holdridge_1966_-_life_zone_ecology.pdf>
    life zone classification scheme. Provides one new graphic scheme of our own
    design which incorporates aspects of both Walter-Leigh and Holdridge.
    Provides user-friendly access and extraction of globally recognisable data
    sets to enhance their usability across a broad spectrum of applications.

A framework that facilitates spatio-temporal analysis of climate dynamics through exploring and measuring different dimensions of climate change in space and time.

Functions for fitting GEV and POT (via point process fitting)
    models for extremes in climate data, providing return values, return
    probabilities, and return periods for stationary and nonstationary models.
    Also provides differences in return values and differences in log return
    probabilities for contrasts of covariate values. Functions for estimating risk
    ratios for event attribution analyses, including uncertainty. Under the hood,
    many of the functions use functions from 'extRemes', including for fitting the
    statistical models. Details are given in Paciorek, Stone, and Wehner (2018)
    <doi:10.1016/j.wace.2018.01.002>.

Computes 138 standard climate indices at monthly, seasonal and annual resolution. These indices were selected, based on their direct and significant impacts on target sectors, after a thorough review of the literature in the field of extreme weather events and natural hazards. Overall, the selected indices characterize different aspects of the frequency, intensity and duration of extreme events, and are derived from a broad set of climatic variables, including surface air temperature, precipitation, relative humidity, wind speed, cloudiness, solar radiation, and snow cover. The 138 indices have been classified as follow: Temperature based indices (42), Precipitation based indices (22), Bioclimatic indices (21), Wind-based indices (5), Aridity/ continentality indices (10), Snow-based indices (13), Cloud/radiation based indices (6), Drought indices (8), Fire indices (5), Tourism indices (5).