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convoSPAT  

Convolution-Based Nonstationary Spatial Modeling
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]
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 28 Jan. 2025.
Previous versions and publish date:
0.1 (2015-07-21 07:53), 1.0 (2015-09-29 01:15), 1.1.1 (2016-10-21 10:32), 1.1 (2016-04-29 12:11), 1.2.4 (2017-11-03 17:54), 1.2.6 (2020-01-23 19:50), 1.2 (2017-04-13 00:30)
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Complete documentation for convoSPAT
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