Package: convoSPAT
Type: Package
Title: Convolution-Based Nonstationary Spatial Modeling
Version: 1.2.5
Date: 2017-12-13
Authors@R: person("Mark D.", "Risser", email = "markdrisser@gmail.com",
    role = c("aut", "cre"))
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.
Depends: R (>= 3.1.2)
License: MIT + file LICENSE
LazyData: TRUE
Imports: stats, graphics, ellipse, fields, geoR, MASS, plotrix,
        StatMatch
URL: http://github.com/markdrisser/convoSPAT
RoxygenNote: 5.0.1
Config/pak/sysreqs: make
Repository: https://markdrisser.r-universe.dev
Date/Publication: 2017-12-13 20:03:51 UTC
RemoteUrl: https://github.com/markdrisser/convospat
RemoteRef: HEAD
RemoteSha: e09df2afbac2b67d902ee09265812c6bc99af197
NeedsCompilation: no
Packaged: 2026-10-06 10:34:40 UTC; root
Author: Mark D. Risser [aut, cre]
Maintainer: Mark D. Risser <markdrisser@gmail.com>