sdm (version 1.2-55)

rcurve: Generate and plot response curves

Description

Calculate the response of species to the range of values in each predictor variable based on the fitted models in a sdmModels object.

Usage

rcurve(x,n,id,mean,fun,confidence,gg,...)
     
getResponseCurve(x,id,...)

Value

an object of class .responseCurve or a series of graphs

Arguments

x

A sdmModels object; in the function response, it can be a .responseCurve object which is the output of the getResponse function

id

specifies the modelIDs corresponding to the models in the sdmModels object for which the response curves should be generated

n

A vector with the name of variables for which the response curve should be generated

mean

logical, specifies whether a mean should be calculated over responses to a variable when multiple models are specified in ids

fun

character or function, (default="mean") specifies what function should be used to calculate the value of the variables over the presence locations (except the variable of interest)

confidence

logical, specifies whether a confidence interval should be added to the curve when the mean response curve is calculated based on multiple models

gg

logical, specifies whether the plot should be generated using the ggplot2 package (if the package is installed)

...

additional arguments passed to plot function

Author

Babak Naimi

https://www.r-gis.net/

https://www.biogeoinformatics.org/

Details

getResponseCurve calculates the responses for the models that are specified in id argument, and put the results in a .responseCurve object. This object can be used as an input in the plot function, or rcurve function.

If you just need the response curve graphs (plots), you can put a sdmModels object directly in the rcurve function, and do not need to first use getResponseCurve function.

In getResponseCurve function (or in rcurve when x is sdmModels), there are some additional arguments:

- size: a numeric value; default is 100. Specifies the size of the variable sequence that is used as the x-axis in the response curve plot. Greater number results to a smoother curve.

- includeTest: a logical value; default is FALSE; when a data object based on which a sdmModels is created containing independent test data; it specifies whether those records should be included into the response curve generation or not.

- ...: additional arguments for the plot function (e.g., xlab, ylab, main, col, lwd, lty)

References

Naimi, B., Araujo, M.B. (2016) sdm: a reproducible and extensible R platform for species distribution modelling, Ecography, 39:368-375, DOI: 10.1111/ecog.01881

Examples

if (FALSE) {
file <- system.file("external/model.sdm", package="sdm")

m <- read.sdm(file) # a sdmModels Object (fitted using sdm function)



rcurve(m)

rcurve(m,id=1) # for the first model

rcurve(m, id=1:2)

rcurve(m,method = 'glm',smooth = T) # only for models fitted using glm method & with smoothed curve


}