{ "_id": "6ac4d033f511ae58c09a1b83", "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\",\nrole = c(\"aut\", \"cre\"))", "Description": "Fits convolution-based nonstationary Gaussian process\nmodels to point-referenced spatial data. The nonstationary\ncovariance function allows the user to specify the underlying\ncorrelation structure and which spatial dependence parameters\nshould be allowed to vary over space: the anisotropy, nugget\nvariance, and process variance. The parameters are estimated\nvia maximum likelihood, using a local likelihood approach. Also\nprovided are functions to fit stationary spatial models for\ncomparison, calculate the Kriging predictor and standard\nerrors, and create various plots to visualize nonstationarity.", "License": "MIT + file LICENSE", "LazyData": "TRUE", "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": { "Date": "2026-10-06 10:34:40 UTC", "User": "root" }, "Author": "Mark D. Risser [aut, cre]", "Maintainer": "Mark D. 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