quarrint (version 1.0.0)

compute.dc: Discrete Choice Model-based Interaction Index for a Quarry

Description

Given an object of type quarry, the function computes the probabilities of each level of interaction (low, medium, high and very high) using a Logit discrete choice model.

Usage

"compute.dc"(x, ...)

Arguments

x

An object of type quarry.

...

Further arguments passed to or from other methods.

Value

A list whose elements are: A list whose elements are:

Details

The model parameters have been estimated with BIOGEME and has an adjusted $\rho-square$ of 0.609. The model is fully detailed in the paper "Interaction prediction between groundwater and quarry extension using discrete choice models and artificial neural networks" (Barthelemy et al., 2016).

References

Barthelemy, J., Carletti, T., Collier L., Hallet, V., Moriame, M., Sartenaer, A. (2016) Interaction prediction between groundwater and quarry extension using discrete choice models and artificial neural networks Environmental Earth Sciences (in press)

Collier, L., Barthelemy, J., Carletti, T., Moriame, M., Sartenaer, A., Hallet, V. (2015) Calculation of an Interaction Index between the Extractive Activity and Groundwater Resources Energy Procedia 76, 412-420

Bierlaire, M. (2003) BIOGEME: a free package for the estimation of discrete choice models. Swiss Transport Research Conference TRANSP-OR-CONF-2006-048

See Also

compute.ann to compute an interaction index based on an artificial neural network and compute.interaction to predict the interaction between between the quarry and the groundwater using both the discrete choice-based index and the neural network-based index.

Examples

# creating a quarry
q <- quarry(geological.context = 2, hydrogeological.context = 4,
            piezometric.context = 1, quarry.position = 4,
            production.catchment = 4, quality.catchment = 3)

# computing the interaction index
inter.idx <- compute.dc(q)