Bioclimatic Variables from Monthly Climate Data R package xbioclim version 1.0.3 Computes the 19 standard bioclimatic variables (BIO01-BIO19) from monthly climate data. The variable set was originally proposed by Nix (1986, ISBN:978-0-644-04887-3) for the BIOCLIM modelling system and is also distributed with the CHELSA climatologies (Karger et al., 2017 <doi:10.1038/sdata.2017.122>). Provides both individual variable functions and a unified interface to compute all 19 variables at once. Designed as an R implementation of the 'xbioclim' C++ library (Robles Fernandez, 2026 <https://github.com/alrobles/xbioclimcpp>). Supports single-pixel vectors and block-based raster processing via 'terra' for memory-efficient handling of large spatial datasets. Includes helpers to transform ERA5-Land hourly reanalysis data (Muñoz-Sabater et al., 2021 <doi:10.5194/essd-13-4349-2021>) into monthly climate inputs. Software Imports: methods, Rcpp (>= 1.0.0) LinkingTo: Rcpp Suggests: parallel, sf, terra, testthat (>= 3.0.0), knitr, rmarkdown Angel Luis Robles Fernandez <a.l.robles.fernandez@gmail.com> Comprehensive R Archive Network (CRAN) Angel Luis Robles Fernandez [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=xbioclim/LICENSE) 2026-10-05 application/tgz https://CRAN.R-project.org/package=xbioclim doi:10.32614/CRAN.package.xbioclim en-US