phcfM-package

phcfM

<code>phcfM</code> is an R package for modelling anthropogenic
deforestation. It was initially developed to obtain REDD baseline
scenarios of deforestation for the "programme holistique de conservation
des forets a Madagascar" (from which the package is named after). It
includes two main functions: (i) <code>demography()</code>, to model the
population growth with time using population census data and Gaussian
mixed linear regressions and (ii) <code>deforestation()</code>, to model the
deforestation process using land-cover change data and Binary logistic
regressions with variable time-intervals between land-cover
observations. Parameter inference is done in a hierarchical Bayesian
framework. Markov chains Monte Carlo (MCMC) are coded in C++ using the
Scythe statistical library to maximize computation efficiency.

tropical forest

deforestation

anthropogenic pressure

phcfM is an R package for modelling anthropogenic
deforestation. It was initially developed to obtain REDD+
baseline scenarios of deforestation for the "programme
holistique de conservation des forets a Madagascar" (from which
the package is named after). Parameter inference is done in a
hierarchical Bayesian framework. Markov chains Monte Carlo
(MCMC) are coded in C++ using the Scythe statistical library to
maximize computation efficiency.

phcfM-package: Modelling anthropogenic deforestation in tropical forests

Description

Arguments

Details

References