intkrige1.0.1 package

A Numerical Implementation of Interval-Valued Kriging

dist_cpp

Distance matrix calculation.

extract-methods

Extract subset of an intsp or intgrd object

fit.intvariogram

Function to create a variogram object for interval-valued data.

head.intgrd

Print the head of an intgrd object.

head.intsp

Print the head of an intsp object.

interval-methods-assign

Function to reassign the contents of the interval slot

interval-methods

Function to extract the interval of an intsp or intgrd object

interval.as.data.frame-methods

Convert intgrd or intsp object back to a data frame

intgrd-class

An interval extension of a SpatialPixelsDataFrame

intkrige-package

INTERVAL-VALUED KRIGING MODELS IN R

intkrige

Algorithmic implementation of interval valued kriging.

intsp-class

An interval extension of a SpatialPointsDataFrame

intvariogram-methods

Function to fit empirical variograms for an interval-valued spatial ob...

intvCheck

Function to visualize the three variograms from an interval valued spa...

plot-intgrd-missing-method

Create an interval plot for spatial grid.

plot-intsp-missing-method

Create an interval plot for spatial points.

print.intgrd

Print the contents of an intgrd object

print.intsp

Print the contents of an intsp object

print.summary.intgrd

Print the object summary to the screen.

print.summary.intsp

Print the object summary to the screen.

show-intgrd-method

Extension of the show function for intgrd objects

show-intsp-method

Extension of the show function for intgrd objects

summary.intgrd

Summarize the contents of an intgrd object, including special summar...

summary.intsp

Summarize the contents of an intsp object, including special summari...

tail.intgrd

Print the tail of an intgrd object.

tail.intsp

Print the tail of an intsp object.

An interval-valued extension of ordinary and simple kriging. Optimization of the function is based on a generalized interval distance. This creates a non-differentiable cost function that requires a differentiable approximation to the absolute value function. This differentiable approximation is optimized using a Newton-Raphson algorithm with a penalty function to impose the constraints. Analyses in the package are driven by the 'intsp' and 'intgrd' classes, which are interval-valued extensions of 'SpatialPointsDataFrame' and 'SpatialPixelsDataFrame' respectively. The package includes several wrappers to functions in the 'gstat' and 'sp' packages.

  • Maintainer: Brennan Bean
  • License: MIT + file LICENSE
  • Last published: 2020-02-07