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convoSPAT
View on CRAN: Click
here
Download and install convoSPAT package within the R console
Install from CRAN:
install.packages("convoSPAT")
Install from Github:
library("remotes")
install_github("cran/convoSPAT") Install by package version:
library("remotes")
install_version("convoSPAT", "1.2.7") Attach the package and use:
library("convoSPAT")
Maintained by
Mark D. Risser
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-07-21
Latest Update: 2021-01-16
Description:
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.
How to cite:
Mark D. Risser (2015). convoSPAT: Convolution-Based Nonstationary Spatial Modeling. R package version 1.2.7, https://cran.r-project.org/web/packages/convoSPAT. Accessed 05 Mar. 2026.
Previous versions and publish date:
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Other R packages that convoSPAT depends,
imports, suggests or enhances
Complete documentation for convoSPAT
Functions, R codes and Examples using
the convoSPAT R package
Some associated functions: Aniso_fit . NSconvo_fit . NSconvo_sim . US.mc.grids . US.prediction.locs . USprecip97 . cov_spatial . evaluate_CV . f_mc_kernels . kernel_cov . make_global_loglik1 . make_global_loglik1_kappa . make_global_loglik2 . make_global_loglik2_kappa . make_global_loglik3 . make_global_loglik3_kappa . make_global_loglik4_kappa . make_local_lik . mc_N . plot.Aniso . plot.NSconvo . predict.Aniso . predict.NSconvo . simdata . summary.Aniso . summary.NSconvo .
Some associated R codes: DataDocumentation.R . convoSPAT_fitpred.R . convoSPAT_paramEst.R . convoSPAT_simulate.R . convoSPAT_summplot.R . Full convoSPAT package functions and examples
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