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
Author: Craig Wang ORCID iD [aut, cre], Reinhard Furrer ORCID iD [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

Downloads:

Reference manual: variosig.pdf
Package source: variosig_0.3-1.tar.gz
Windows binaries: r-devel: variosig_0.3-1.zip, r-devel-gcc8: variosig_0.3-1.zip, r-release: variosig_0.3-1.zip, r-oldrel: variosig_0.3-1.zip
OS X binaries: r-release: variosig_0.3-1.tgz, r-oldrel: variosig_0.3-1.tgz
Old sources: variosig archive

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