ReliabilityPlot: Produces are relaibility plot with associate linear...
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

Returns a reliability plot of the discritised predictions versus obserations as well as the a vector of the intercept, gradient, and r-squared for further interpretation

1	ReliabilityPlot(.model, .ras, n_bins = 20)

`.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.
`n_bins`	An integer greater than 1 indicating the number of bins for predictions and obsertions

We can analyse the linear model of predictions versus observations for bias in our predictions. A gradient on 1 and and intercept of 0 indicate a perfect fit - the predictions equal the observations. An intercept less than 0 indicated that, on average, our model underpredicts. Greater than 0 indicates over-prediction, on average.

presence-only, presence/absence, presence/background

0.1

2018-02-27

Liz Martin, lizmartinresearch@gmail.com

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