spMC0.3.15 package

Continuous-Lag Spatial Markov Chains

boxplot.lengths

Stratum Lengths Boxplot

contour.pemt

Display Contours with Multi-directional Transiograms

density.lengths

Empirical Densities Estimation of Stratum Lengths

embed_MC

Transition Probabilities Estimation for Embedded Markov Chain

getlen

Estimation of Stratum Lengths for Embedded Markov Chain

hist.lengths

Histograms of Stratum Lengths for Each Observed Category

image.multi_tpfit

Images with Multidimensional Transiograms

image.pemt

Images with Multi-directional Transiograms

is.lengths

Object test for lengths class

is.multi_tpfit

Object test for multi_tpfit class

is.multi_transiogram

Object test for multi_transiogram class

is.pemt

Images with Multi-direct`ional Transiograms

is.tpfit

Object test for tpfit class

is.transiogram

Object test for transiogram class

mixplot

Plot of Multiple One-dimensional Transiograms

mlen

Mean Length Estimation for Embedded Markov Chain

multi_tpfit

Multidimensional Model Parameters Estimation

multi_tpfit_ils

Iterated Least Squares Method for Multidimensional Model Parameters Es...

multi_tpfit_me

Maximum Entropy Method for Multidimensional Model Parameters Estimatio...

multi_tpfit_ml

Mean Length Method for Multidimensional Model Parameters Estimation

pemt

Multi-directional Transiograms Estimation

persp.multi_tpfit

Perspective Plots with Multidimensional Transiograms

persp.pemt

Perspective Plots with Multi-directional Transiograms

plot.density.lengths

Plot Empirical Densities Estimates of Stratum Lengths

plot.hist.lengths

Plot Histograms of Stratum Lengths

plot.lengths

Plot Stratum Lengths

plot.transiogram

Plot One-dimensional Transiograms

predict.multi_tpfit

Compute Theoretical Multidimensional Transiograms

predict.tpfit

Compute Theoretical One-dimensional Transiograms

print.density.lengths

Printing Empirical Densities Estimates of Stratum Lengths

print.lengths

Printing Stratum Lengths for Each Observed Category

print.multi_tpfit

Printing Model Parameters for Multidimensional Continuous Lag Spatial ...

print.multi_transiogram

Printing Theoretical Multidimensional Transiograms

print.summary.lengths

Printing Stratum Lengths Summary for Each Observed Category

print.tpfit

Printing Model Parameters for One-dimensional Continuous Lag Spatial M...

print.transiogram

Printing Theoretical or Empirical One-dimensional Transiograms

quench

Conditional Simulation Adjuster Via Quenching Algorithm

setCores

Set the number of CPU cores for HPC

sim

Random Field Simulation

sim_ck

Conditional Simulation Based on Indicator Cokriging

sim_ik

Conditional Simulation Based on Indicator Kriging

sim_mcs

Multinomial Categorical Simulation

sim_path

Conditional Simulation Based on Path Algorithms

spMC-package

Continuous Lag Spatial Markov Chains

summary.lengths

Summarizing Stratum Lengths

tpfit

One-dimensional Model Parameters Estimation

tpfit_ils

Iterated Least Squares Method for One-dimensional Model Parameters Est...

tpfit_me

Maximum Entropy Method for One-dimensional Model Parameters Estimation

tpfit_ml

Mean Length Method for One-dimensional Model Parameters Estimation

transiogram

Empirical Transition Probabilities Estimation for 1-D MC

which_lines

Points Classification through Directional Lines

A set of functions is provided for 1) the stratum lengths analysis along a chosen direction, 2) fast estimation of continuous lag spatial Markov chains model parameters and probability computing (also for large data sets), 3) transition probability maps and transiograms drawing, 4) simulation methods for categorical random fields. More details on the methodology are discussed in Sartore (2013) <doi:10.32614/RJ-2013-022> and Sartore et al. (2016) <doi:10.1016/j.cageo.2016.06.001>.

  • Maintainer: Luca Sartore
  • License: GPL (>= 2)
  • Last published: 2023-05-03