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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