Procedures for Automated Interpolation
Performs spatial interpolation using copulas
Spatial block prediction
check setup
Coarsening of a spatial grid
Getting conformed projections
ML-estimation of the spatial copula model parameters
Create an object for interpolation within the intamap package
estimateAnisotropy
Automatic estimation of correlation structure parameters
estimateTimeModel
Generate time models
Setting parameters for the intamap package
get interpolation method names
A package providing methods for automatic interpolation: pre-processin...
spatial interpolation
Example data for the intamap package
generate string for generation of method parameters
plot intamap objects
pre-process data
Time prediction for intamap package methods
pre-processing of data
rotateAnisotropicData
Spatial prediction
summary intamap objects
Unbiased kriging
kriging and simulation with alternative kriging variance
Geostatistical interpolation has traditionally been done by manually fitting a variogram and then interpolating. Here, we introduce classes and methods that can do this interpolation automatically. Pebesma et al (2010) gives an overview of the methods behind and possible usage <doi:10.1016/j.cageo.2010.03.019>.