compute.interaction: Compute the Interaction Index for a Quarry

In quarrint: Interaction Prediction Between Groundwater and Quarry Extension Using Discrete Choice Models and Artificial Neural Networks

Description

Computes the interaction indices between a quarry and groundwater and returns an object of class interaction.index. The function implements 2 indices based on hazard and vulnerability parameters. The levels of each index are low, medium, high and very high.

Usage

## S3 method for class 'quarry'
compute.interaction(x, method = "all", fun.ann = compute.ann,
                    fun.dc = compute.dc, ...)

Arguments

x	A quarry object.
method	A string specifying the method to use for computing the index. Possible values are: dc for the discrete choice, ann for the neural network, all for both methods. Default is all.
fun.ann	Specify which function to be used for the neural network method. By default it is compute.ann, but it can be replaced by any function returning the same outputs.
fun.dc	Specify which function to be used for the discrete choice method. By default it is compute.dc, but it can be replaced by any function returning the same outputs.
...	Further arguments passed to or from other methods. For instance, For instance the parameter ann of the function compute.ann can be passed to use a neural network different from the default one.

Value

An interaction.index object consisting of a list whose elements are

method	The selected method for computing the interaction index.
dc	The discrete choice-based interaction index computed by the function specified in fun.dc (if method = "all" or "dc").
ann	The neural network-based interaction index computed by the function specified in fun.ann (if method = "all" or "ann").
call	The matched call.

Author(s)

Johan Barthelemy.

Maintainer: Johan Barthelemy [e-mail].

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

Krieselm, D. (2007) A Brief Introduction to Neural Networks. On-line available at http://www.dkriesel.com

Ripley, B. (1996) Pattern recognition and neural networks Cambridge university press

See Also

compute.ann and compute.dc for more details about the different interaction indices and the outputs of the corresponding functions.

train.ann to train a neural network that can be used with this function.

print to print a interaction.index object.

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.interaction(q)
print(inter.idx)

quarrint documentation built on May 1, 2019, 10:10 p.m.