spatio-temporal Gibbs process
From here you can download documented source code
- to simulate spatio-temporal multi-scale Geyer saturation proceses. It requires stpp package (see below).
- to fit this model using the logistic likelihood approach. It requires arm package.
All these functions first require to source internal functions .
More details about this model and its inference are given in Raeisi, Bonneu and Gabriel (2020)
stpp is a R package for simulating
and displaying space-time point patterns.
It is designed to reproduce the most
current processes encountered in epidemiological studies: Poisson process,
Log-gaussian Cox process, Poisson cluster process, interaction (inhibition or contagious) process, infectious process.
Available on the CRAN repository.
detecZAC is a set of programs for detecting the zones where
a spatially sampled variable presents sharp variations.
Such zones are called Zones of Abrupt Change (ZACs).
The method is described in Gabriel E., Allard D., Bacro J-N. (2011). Estimating and testing Zones of Abrupt Change for spatial data. Statistics and Computing, 21, 107--120.
From here you can download documentation and source code.
Last modification: 20 November 2009.