plot_variogram: Plot Single Sevariance Model

In suvedimukti/stdcab: Spatial Thinning, Dependency, Clustering, And Blocking of Point Data for Classification Problems

Plot Single Sevariance Model

Description

This function uses ggplot2 framework to plot semivariogram object results from fit_variogram.

Usage

plot_variogram(object, length = 99, show_range = TRUE)

Arguments

object	An output from fit_variogram function
length	(integer) the length of sequence used to produced fitted data.
show_range	(logical) whether to display range in the plot

Value

A list with plot and tibble with semivariogram information

References

Pebesma, E.J., 2004. Multivariable geostatistics in S: the gstat package. Computers & Geosciences, 30: 683-691. Benedikt Gräler, Edzer Pebesma and Gerard Heuvelink, 2016. Spatio-Temporal Interpolation using gstat. The R Journal 8(1), 204-218

Hiemstra, P.H., Pebesma, E.J., Twenhofel, C.J.W. and G.B.M. Heuvelink, 2008. Real-time automatic interpolation of ambient gamma dose rates from the Dutch Radioactivity Monitoring Network. Computers & Geosciences.DOI:

H. Wickham. ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York, 2016.

See Also

autofitVariogram, fit_variogram, plot_variogram

Examples

##  Run semivariance on Principal Component Axis1
# read data
data("landcover")

vfit  <- fit_variogram(data = landcover, response = "MPC1", coords = NULL)
vplot <- plot_variogram(object = vfit, length = 99, show_range = TRUE)

# plot
 vplot$plot

vfit_pc2  <- fit_variogram(data = landcover, response = "MPC1", coords = NULL)
vplot_pc2  <- plot_variogram(object = vfit_pc2, length = 99, show_range = FALSE)

# plot
 vplot_pc2$plot

## Not run: 
data("landcover")

vfit  <- fit_variogram(data = landcover,response = "ASYM",coords = NULL)
vplot <- plot_variogram(object = vfit, length = 99, show_range = TRUE)

# plot variogram
 vplot$plot
# data
vplot$data


## End(Not run)

suvedimukti/stdcab documentation built on Aug. 7, 2023, 2:28 p.m.