vario_plot {klovan}

Create Variogram Plot

Description

This function calculates the empirical variogram for a given target factor (FAC) and plots it along with the fitted variogram based on the specified variogram model.

Usage

vario_plot(
  data,
  factor,
  nlags = NA,
  lags = NA,
  nugget,
  sill,
  range_val,
  a,
  model_name
)

Arguments

data

A dataset of class data.frame. The data should contain 'C_X' and 'C_Y' columns representing the x and y coordinates of the data points and excludes any rank, ID, or column not for analysis, see README for details

factor

The target factor (FAC) to be used for variogram calculation and fitting.

nlags

The number of lag bins for variogram calculation. Default is NA, which will use Sturges' formula to determine the number of lags.

lags

The lag width for variogram calculation. Default is NA, which will calculate the lag width based on the range of distances.

nugget

The nugget effect parameter for the variogram model.

sill

The sill parameter for the variogram model.

range_val

The range parameter for the variogram model.

a

Additional parameter (depends on the variogram model) use NA if not needed.

model_name

The name of the model to use for variogram fitting. Available options include "Sph1", "Exp1", "Gau1", "Mat1", "Pow1", "Quad1", "Card1", "Gam1", "Cau1", "Sta1", "Ord1", "Tri1", and "Cos1". Use function print_model_names() for more information.

Value

A plot displaying the empirical variogram and the fitted variogram based on the specified model.

Examples

data(Klovan_Row80)
# Plot variogram for FAC1
vario_plot(Klovan_Row80, factor = 1, nlags = 10, nugget = 0.01, sill = 2.5,
range_val = 1000, a = NA, model_name = "Sph1")