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intamap (version 1.5-11)

Procedures for Automated Interpolation

Description

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 .

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Version

Install

install.packages('intamap')

Monthly Downloads

534

Version

1.5-11

License

GPL (>= 2)

Maintainer

Jon Skoien

Last Published

July 30th, 2025

Functions in intamap (1.5-11)

intamapExampleObject

Simulated Intamap Object
generateTimeModels

Generate time models
getInterpolationMethodNames

get interpolation method names
intamap

Example data for the intamap package
interpolate

spatial interpolation
postProcess

pre-process data
unbiasedKrige

Unbiased kriging
preProcess

pre-processing of data
timeModels

models for estimating prediction time in intamap package
predictTime

Time prediction for intamap package methods
rotateAnisotropicData

rotateAnisotropicData
yamamotoKrige

kriging and simulation with alternative kriging variance
summaryIntamap

summary intamap objects
spatialPredict

Spatial prediction
getIntamapParams

Setting parameters for the intamap package
coarsenGrid

Coarsening of a spatial grid
bayesCopula

Performs spatial interpolation using copulas
createIntamapObject

Create an object for interpolation within the intamap package
copulaEstimation

ML-estimation of the spatial copula model parameters
conformProjections

Getting conformed projections
blockPredict

Spatial block prediction
estimateParameters

Automatic estimation of correlation structure parameters
estimateTimeModel

estimateTimeModel
checkSetup

check setup
estimateAnisotropy

estimateAnisotropy
intamap-package

A package providing methods for automatic interpolation: pre-processing, parameter estimation, spatial prediction and post processing
methodParameters

generate string for generation of method parameters
plotIntamap

plot intamap objects