Package: convoSPAT 1.2.5

convoSPAT: Convolution-Based Nonstationary Spatial Modeling

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.

Authors:Mark D. Risser [aut, cre]

convoSPAT_1.2.5.tar.gz
convoSPAT_1.2.5.zip(r-4.5)convoSPAT_1.2.5.zip(r-4.4)convoSPAT_1.2.5.zip(r-4.3)
convoSPAT_1.2.5.tgz(r-4.4-any)convoSPAT_1.2.5.tgz(r-4.3-any)
convoSPAT_1.2.5.tar.gz(r-4.5-noble)convoSPAT_1.2.5.tar.gz(r-4.4-noble)
convoSPAT_1.2.5.tgz(r-4.4-emscripten)convoSPAT_1.2.5.tgz(r-4.3-emscripten)
convoSPAT.pdf |convoSPAT.html✨
convoSPAT/json (API)

Peer review:

Bug tracker:https://github.com/markdrisser/convospat/issues

On CRAN:

15 exports 2 stars 0.85 score 51 dependencies 22 scripts 304 downloads

Last updated 7 years agofrom:e09df2afba. Checks:OK: 7. Indexed: yes.

Exports:Aniso_fitevaluate_CVf_mc_kernelskernel_covmake_global_loglik1make_global_loglik1_kappamake_global_loglik2make_global_loglik2_kappamake_global_loglik3make_global_loglik3_kappamake_global_loglik4_kappamake_local_likmc_NNSconvo_fitNSconvo_sim

Dependencies:clicolorspaceDBIdotCall64dplyrellipsefansifarverfieldsgenericsgeoRggplot2gluegtableisobandlabelinglatticelifecyclelpSolvemagrittrmapsMASSMatrixmgcvminqamitoolsmunsellnlmenumDerivpillarpkgconfigplotrixproxyR6RColorBrewerRcppRcppArmadillorlangscalesspspamsplancsStatMatchsurveysurvivaltibbletidyselectutf8vctrsviridisLitewithr