Articles
Quantify risk to specific viticultural regions
Example usage for create_risk_report() for creation of localized reports
Initialize scari
Initialization of renv package for dependencies
Retrieve and tidy input data for MaxEnt
Retrieve occurrence data and climate rasters
SDM modeling pipeline
Setup and create a global-scale model and 3 regional-scale models
- Setup for global-scale MaxEnt model
- Run global-scale MaxEnt model
- Setup for regional-scale MaxEnt models
- Run 'Ri.NAmerica' model trained on SLF invaded region in North America
- Run 'Ri.Asia' model trained on SLF invaded range in Japan and South Korea
- Run 'Rn' model trained on SLF native range in east Asia
Ensemble Regional-scale SDMs
Analyze extrapolation and use as weighting factor to ensemble regional-scale models
Quantify SLF risk and model fit
Create suitability maps, scatter plots and figures depicting the AUC, var cont and response curves
- Create risk maps of each model scale and intersect predictions
- Plot shift in SLF risk to important viticultural regions under climate change
- Infer stability of known SLF populations due climate change effects
- Analyze biological realism of model response curves
- Check model goodness of fit via AUC, TSS and confusion matrices
- Calculate model fit using confusion matrices
Workflows and figures
Format figures for publication and outline specific workflows for functions