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

Cited in 1 Field

5 Statistics (62-XX)

Citations by Year