ClimaRep-package: ClimaRep: Estimating Climate Representativeness
In ClimaRep: Estimating Climate Representativeness

ClimaRep-package

R Documentation

ClimaRep: Estimating Climate Representativeness

Description

Offers tools to estimate the climate representativeness of defined areas and quantifies and analyzes its transformation under future climate change scenarios. Approaches described in Mingarro and Lobo (2018) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.32800/abc.2018.41.0333")} and Mingarro and Lobo (2022) \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1017/S037689292100014X")}.

Overview

The primary goal of ClimaRep is to quantify how well the climate within specific polygons (sf) represents the broader climate space defined by climate variables (SpatRaster) within a study area (sf). It also provides functions to evaluate how this representativeness changes under projected future climate conditions.

Key Features

The package includes functions for:

Filtering raster climate variables to reduce multicollinearity (vif_filter).
Estimating current climate representativeness (mh_rep).
Estimating changes in climate representativeness under future climate projections (mh_rep_ch).
Estimating climate representativeness overlay (mh_overlay).