Convolution-Based Nonstationary Spatial Modeling R package convoSPAT version 1.2.7 Fits convolution-based nonstationary Gaussian process models to point-referenced spatial data. The nonstationary covariance function allows the user to specify the underlying correlation structure and which spatial dependence parameters should be allowed to vary over space: the anisotropy, nugget variance, and process variance. The parameters are estimated via maximum likelihood, using a local likelihood approach. Also provided are functions to fit stationary spatial models for comparison, calculate the Kriging predictor and standard errors, and create various plots to visualize nonstationarity. Software Depends: R (>= 3.1.2) Imports: stats, graphics, ellipse, fields, MASS, plotrix, StatMatch Mark D. Risser <markdrisser@gmail.com> Comprehensive R Archive Network (CRAN) Mark D. Risser [aut, cre] MIT + file LICENSE (https://CRAN.R-project.org/package=convoSPAT/LICENSE) 2021-01-16 application/tgz https://CRAN.R-project.org/package=convoSPAT doi:10.32614/CRAN.package.convoSPAT