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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 [aut, cre], Reinhard Furrer [ctb]
Maintainer:	Craig Wang <craig.wang at math.uzh.ch>
License:	GPL (≥ 3)
NeedsCompilation:	no
Citation:	variosig citation info
Materials:	NEWS
CRAN checks:	variosig results

Documentation:

Reference manual:

variosig.pdf

Downloads:

Package source:	variosig_0.3-1.tar.gz
Windows binaries:	r-devel: variosig_0.3-1.zip, r-release: variosig_0.3-1.zip, r-oldrel: variosig_0.3-1.zip
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

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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