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.


News

version 0.3:

  • added possibility of testing spatial dependence specifically at small scales

  • added empirical Brown's method and Fisher's method for combining p-values in spatial dependence testing

  • improved documentations

  • updated citation information

version 0.2:

  • added option to show sample variance and its confidence interval without considering spatial information

version 0.1:

  • initial release on CRAN

Reference manual

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install.packages("variosig")

0.3 by Craig Wang, 6 months ago


Browse source code at https://github.com/cran/variosig


Authors: Craig Wang [aut, cre] , Reinhard Furrer [ctb]


Documentation:   PDF Manual  


GPL (>= 3) license


Imports gstat, geoR, sp, testthat


See at CRAN