convoSPAT swMATH ID: 15289 Software Authors: Mark D. Risser Description: R package convoSPAT: Convolution-Based Nonstationary Spatial Modeling. 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. Homepage: https://cran.r-project.org/web/packages/convoSPAT/index.html Source Code: https://github.com/cran/convoSPAT Dependencies: R Related Software: tgp; fields; R; spBayes; R-INLA; mgcv; geoR; laGP; nimble; BayesNSGP; GMRFLib; RandomFields; DiceOptim; DiceKriging; fda (R); gstat; refund; mvtnorm; interp; fda.usc Cited in: 5 Publications Standard Articles 1 Publication describing the Software Year Local likelihood estimation for covariance functions with spatially-varying parameters: the convoSPAT package for R Mark D. Risser, Catherine A. Calder 2015 all top 5 Cited by 15 Authors 2 Castruccio, Stefano 2 Genton, Marc G. 1 Castro-Camilo, Daniela 1 Crippa, Paola 1 Damoulas, Theodoros 1 Girolami, Mark A. 1 Huser, Raphaël 1 Lenzi, Amanda 1 Monterrubio-Gómez, Karla 1 Risser, Mark D. 1 Roininen, Lassi 1 Rue, Håvard 1 Turek, Daniel 1 Wade, Sara 1 Zhang, Jiachen Cited in 5 Serials 1 Journal of the American Statistical Association 1 Journal of Statistical Computation and Simulation 1 Computational Statistics and Data Analysis 1 The Annals of Applied Statistics 1 Journal of Computational and Graphical Statistics Cited in 1 Field 5 Statistics (62-XX) Citations by Year