ResponsePlot: Plot predicted response curves along covariate gradients
In zoonproject/modules: Species Distribution Modelling Code Modules for the ZOON Package

Description Usage Arguments Details Data type Version Date submitted Author(s) See Also

This module plots predicted response curves along covariate gradients for all or specified covariates

1	ResponsePlot(.model, .ras, cov = NULL)

`.model`	Internal parameter, do not use in the workflow function. `.model` is list of a data frame (`data`) and a model object (`model`). `.model` is passed automatically in workflow, combining data from the model module(s) and process module(s), to the output module(s) and should not be passed by the user.
`.ras`	Internal parameter, do not use in the workflow function. `.ras` is a raster layer, brick or stack object. `.ras` is passed automatically in workflow from the covariate module(s) to the output module(s) and should not be passed by the user.
`cov`	covariate name

The module outputs a line graph of probability of occupancy (relative for presence-only and presence background data, absolute for presence-absence data). cov accepts a numeric and character strings. When cov = NULL, the module plots line graphs for each covariate in the zoon workflow iteratively. Currently only implemented for presence-only, presence-background, and presence-absence data.

presence-only, presence/absence, presence/background

0.2

2017-05-03

Liz Martin, emartin@student.unimelb.edu.au

Other output: AIC, AUC, Appify, CoefficientPlot, CovHistograms, DataSummary, Deviance, GenerateCovariateReport, InteractiveCovariateMap, InteractiveMap, InteractiveOccurrenceMap, NoOutput, PairPlot, PerformanceMeasures, PredictNewRasterMap, PrintMap, PrintOccurrenceMap, ROCcurve, ReliabilityPlot, ResponseCurveViz, ResponseCurve, SameTimePlaceMap, SeparatePA, SurfaceMap, VariableImportance