SDMs in R: step 4 - model evaluation
In this module we highlight how to evaluate your model, stressing the importance of visual and expert review. We also explain the confusion matrix and how it is used to generate a variety of evaluation statistics. We also explain AUC and the value of using independent data for validation.
R steps using a BRT model example include:
1. Identifying a threshold to generate binary (presence / absence) predictions
2. How to generate a confusion matrix for training data
3. Generate evaluation statistics from a confusion matrix including TSS & F1
4. Demonstrate downloading independent data
5. Repeat confusion matrix and evaluation statistics with independent data
scripts available at: https://www.ecocommons.org.au/educati...
EcoCommons Australia is building the platform of choice to analyse and model ecological and environmental challenges. This video series will help you become our next generation's ecological modeller by teaching you how to use our tools, and tricks in R beyond our tools. This video is aimed at people with somewhat intermediate R skills who would like to learn how to code Species Distribution Models in R.
EcoCommons Australia is a partnership of nine organisations including the NCRIS-funded Australian Research Data Commons (ARDC), and the Atlas of Living Australia (ALA), CEBRA at the University of Melbourne, CSIRO’s Land and Water unit, Griffith University, Macquarie University, QCIF, TERN, and the University of NSW. It also involves investment from the Queensland Government’s Research Infrastructure Co-investment Fund (RICF).
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