CCG Programs

Description Usage Arguments Value Examples

varmapR creates variogram maps for analysis of spatial continuity. The number of variogram maps produced is fixed at 1.

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varmapR(data, vars, regular = 0, grid = c(0, 0, 0, 0, 0, 0),
  xyz = c("x", "y"), nlag = c(50, 50, 0), dlag = c(5, 5, 5),
  minpair = 5, standardize = 0, type = c(1, 1, 1), debug = FALSE)

`data`	Data frame with value and optional weight and category columns.
`vars`	Character vector, column names in `data` for transformation.
`regular`	Scalar integer either 1 or 0. 1: regular grid; 0: scattered values.
`grid`	Numeric vector of length 6. Defines the grid parameters if `regular` is 1. The parameter are , in order, number of x, y, and z nodes in the grid and size of x, y, and z nodes in the grid.
`xyz`	Character vector of lenght 2 for 2D samples or 3 for 3D samples. If `regular` is 0, `xyz` gives the x, y, and z coordinate column names of `data`.
`nlag`	Numeric vector of length 3 for number of lags in each direction.
`dlag`	Numeric vector of length 3 for size of lag in each direction.
`minpair`	Scalar numeric. Minimum pairs per lag to report a result.
`standardize`	Scalar integer either 1 or 0. 1: standardize the sill.
`type`	Numeric vector length 3 for the tail, head, and variogram type.
`debug`	Scalar boolean. If `TRUE` don't delete temporary system files.

A data frame suitable for plotting with ggplot2::geom_raster.

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test <- unscoreR(samples_2d, c("thk", "accum"))
data <- varmapR(test$data, vars=c("NS_thk"), minpair = 1,
  nlag = c(100, 100, 1), dlag = c(20, 20, 1))