Classification non-Supervisée et Suivi des Processus de Dynamique Forestière. (French)
The main purpose here is to model the birth, growth, and mortality of species of trees in the forest. The EM algorithm is used for clustering. Concerning the regression, the growth and the mortality are modeled using the binomial distribution, and the birth is modeled using the Poisson distribution.
Simulation of data: Sim.r, SimPois.r
Estimation of parameters with the EM algorithm: EM_MortaliteCroissance.r, EM_Recruitement.r
Extension, August 2017 (pdf): I wrote a proposal that gives an approach to extend this work by considering data collected from satellites and estimate the stock of carbon.