variosig: Testing Spatial Dependence Using Empirical Variogram

Applying Monte Carlo permutation to generate pointwise variogram envelope and checking for spatial dependence at different scales using permutation test. Empirical Brown's method and Fisher's method are used to compute overall p-value for hypothesis test.

Version: 0.3-1
Depends: R (≥ 3.1.0)
Imports: gstat, sp, testthat
Suggests: geoR
Published: 2020-02-09
DOI: 10.32614/CRAN.package.variosig
Author: Craig Wang ORCID iD [aut, cre], Reinhard Furrer ORCID iD [ctb]
Maintainer: Craig Wang < at>
License: GPL (≥ 3)
NeedsCompilation: no
Citation: variosig citation info
Materials: NEWS
CRAN checks: variosig results


Reference manual: variosig.pdf


Package source: variosig_0.3-1.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): variosig_0.3-1.tgz, r-oldrel (arm64): variosig_0.3-1.tgz, r-release (x86_64): variosig_0.3-1.tgz, r-oldrel (x86_64): variosig_0.3-1.tgz
Old sources: variosig archive


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