spMC: Continuous-Lag Spatial Markov Chains
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>.
| Version: |
0.3.15 |
| Depends: |
R (≥ 3.0.0), base, methods, datasets, utils, grDevices, graphics, stats |
| Published: |
2023-05-03 |
| DOI: |
10.32614/CRAN.package.spMC |
| Author: |
Luca Sartore 
[aut, cre] |
| Maintainer: |
Luca Sartore <drwolf85 at gmail.com> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| Citation: |
spMC citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
spMC results |
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