variosig: Testing Spatial Dependence Using Empirical Variogram (original) (raw)
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 |
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