Package index • scari

Import data for SDM

import_chelsa_v2(): Downloads CHELSA version 2.1 High Resolution Climatologies from server

Create localized risk reports

Quantify SLF risk to viticultural areas at the state/provincial or country level

create_risk_report(): Creates a localized report on the risk of establishment of Lycorma delicatula

Global-scale MaxEnt model functions

Calculate summary statistics, predict risk via maps or point-wise predictions

Created for cross-validated MaxEnt models

Calculate summary statistics, predict risk via maps or point-wise predictions

compute_MaxEnt_summary_statistics_CV(): Output summary statistics for a MaxEnt model ('SDMmodelCV' object)

create_MaxEnt_suitability_maps_CV(): Predicts maps of establishment suitability based on MaxEnt model ('SDMmodelCV' object)

predict_xy_suitability_CV(): Predicts suitability for xy coordinates according to a trained MaxEnt model WITH cross-validation ('SDMmodelCV' object)

Regional-scale MaxEnt model functions

Calculate summary statistics, predict risk via maps or point-wise predictions

Created for MaxEnt models without cross-validation

Calculate summary statistics, predict risk via maps or point-wise predictions

compute_MaxEnt_summary_statistics(): Output summary statistics for a MaxEnt model without cross-validation ('Maxent' object)

create_MaxEnt_suitability_maps(): Predicts maps of establishment suitability based on a MaxEnt model without cross-validation ('Maxent' object)

predict_xy_suitability(): Predicts suitability for xy coordinates according to a trained MaxEnt model WITHOUT cross-validation ('Maxent' object)

Quadrant plot functions

Helper functions to format point-wise suitability predictions for visualization in quadrant plots

rescale_cloglog_suitability(): Rescales cloglog suitability output from MaxEnt model as an exponential.

calculate_risk_quadrant(): Calculate placement of point-wise suitability values on risk quadrant plot