Covariate-Based Covariance Functions for Nonstationary Spatial Modeling R package cocons version 0.1.5 Estimation, prediction, and simulation of nonstationary Gaussian process with modular covariate-based covariance functions. Sources of nonstationarity, such as spatial mean, variance, geometric anisotropy, smoothness, and nugget, can be considered based on spatial characteristics. An induced compact-supported nonstationary covariance function is provided, enabling fast and memory-efficient computations when handling densely sampled domains. Software Depends: R (>= 3.5.0) Imports: Rcpp (>= 1.0.10), spam (>= 2.9.1), fields, optimParallel, methods, knitr LinkingTo: Rcpp, BH Federico Blasi <federicoblasi@gmail.com> Comprehensive R Archive Network (CRAN) Federico Blasi [aut, cre] (ORCID: <https://orcid.org/0000-0001-9337-7154>), Reinhard Furrer [ctb] (ORCID: <https://orcid.org/0000-0002-6319-2332>) GPL (>= 3) 2025-12-10 application/tgz https://CRAN.R-project.org/package=cocons doi:10.32614/CRAN.package.cocons