convoSPAT (1.1)

Convolution-Based Nonstationary Spatial Modeling.

http://github.com/markdrisser/convoSPAT
http://cran.r-project.org/web/packages/convoSPAT

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.

Maintainer: Mark D. Risser
Author(s): Mark D. Risser [aut, cre]

License: MIT + file LICENSE

Uses: ellipse, fields, geoR, MASS, plotrix, StatMatch

Released almost 4 years ago.