spMC (version 0.3.2)

plot.transiogram: Plot One-dimensional Transiograms

Description

The function makes a graphical representation of transition probabilities by the use of transiogram.

Usage

## S3 method for class 'transiogram':
plot(x, ..., main, legend = FALSE)

Value

An image is produced on the current graphics device. No values are returned.

Rdversion

1.1

Details

Transiogram is a diagram which is drawn for a single pair of categories in the direction $\phi$. It shows the transition probabilities in the $y$-axis for some specific lags in the $x$-axis.

References

Carle, S. F., Fogg, G. E. (1997) Modelling Spatial Variability with One and Multidimensional Continuous-Lag Markov Chains. Mathematical Geology, 29(7), 891-918.

Li, W. (2007) Transiograms for Characterizing Spatial Variability of Soil Classes. Soil Science Society of America Journal, 71(3), 881-893.

Sartore, L. (2010) Geostatistical models for 3-D data. M.Phil. thesis, Ca' Foscari University of Venice.

See Also

tpfit, predict.tpfit, mixplot, image.multi_tpfit, plot

Examples

data(ACM)

# Estimate empirical transition 
# probabilities by points
ETr <- transiogram(ACM$MAT3, ACM[, 1:3], c(0, 0, 1), 100, 200)

# Estimate the transition rate matrix
RTm <- tpfit(ACM$MAT3, ACM[, 1:3], c(0, 0, 1))

# Compute transition probabilities 
# from the one-dimensional MC model
TPr <- predict(RTm, lags = ETr$lags)

# Plot empirical transition probabilities
plot(ETr, type = "l")

# Plot theoretical transition probabilities
plot(TPr, type = "l")