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spMC (version 0.3.4)

Continuous Lag Spatial Markov Chains

Description

The main goal of this package is to provide a set of functions 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.

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Version

Install

install.packages('spMC')

Monthly Downloads

238

Version

0.3.4

License

GPL (>= 2)

Maintainer

Luca Sartore

Last Published

September 19th, 2014

Functions in spMC (0.3.4)

Mean Length Estimation for Embedded Markov Chain

summary.lengths

Summarizing Stratum Lengths

boxplot.lengths

Stratum Lengths Boxplot

Printing Stratum Lengths for Each Observed Category

Object test for lengths class

Object test for tpfit class

image.multi_tpfit

Images with Multidimensional Transiograms

plot.density.lengths

Plot Empirical Densities Estimates of Stratum Lengths

density.lengths

Empirical Densities Estimation of Stratum Lengths

persp.multi_tpfit

Perspective Plots with Multidimensional Transiograms

Maximum Entropy Method for Multidimensional Model Parameters Estimation

print.multi_transiogram

Printing Theoretical Multidimensional Transiograms

Display Contours with Multi-directional Transiograms

Multi-directional Transiograms Estimation

Object test for transiogram class

print.transiogram

Printing Theoretical or Empirical One-dimensional Transiograms

Empirical Transition Probabilities Estimation for 1-D MC

Iterated Least Squares Method for One-dimensional Model Parameters Estimation

print.summary.lengths

Printing Stratum Lengths Summary for Each Observed Category

Maximum Entropy Method for One-dimensional Model Parameters Estimation

Multinomial Categorical Simulation

Images with Multi-direct`ional Transiograms

Continuous Lag Spatial Markov Chains

Mean Length Method for Multidimensional Model Parameters Estimation

Random Field Simulation

Object test for multi_tpfit class

Conditional Simulation Adjuster Via Quenching Algorithm

print.density.lengths

Printing Empirical Densities Estimates of Stratum Lengths

Conditional Simulation Based on Path Algorithms

Conditional Simulation Based on Indicator Kriging

Printing Model Parameters for One-dimensional Continuous Lag Spatial MC

Mean Length Method for One-dimensional Model Parameters Estimation

Perspective Plots with Multi-directional Transiograms

Points Classification through Directional Lines

Plot Stratum Lengths

Estimation of Stratum Lengths for Embedded Markov Chain

plot.hist.lengths

Plot Histograms of Stratum Lengths

multi_tpfit_ils

Iterated Least Squares Method for Multidimensional Model Parameters Estimation

Plot of Multiple One-dimensional Transiograms

plot.transiogram

Plot One-dimensional Transiograms

predict.multi_tpfit

Compute Theoretical Multidimensional Transiograms

Transition Probabilities Estimation for Embedded Markov Chain

Images with Multi-directional Transiograms

is.multi_transiogram

Object test for multi_transiogram class

One-dimensional Model Parameters Estimation

print.multi_tpfit

Printing Model Parameters for Multidimensional Continuous Lag Spatial MC

Conditional Simulation Based on Indicator Cokriging

Histograms of Stratum Lengths for Each Observed Category

Set the number of CPU cores for HPC

Multidimensional Model Parameters Estimation

Compute Theoretical One-dimensional Transiograms