Data quantity trumps spatial bias in predicting species distribution models
Biological records used for predicting species distribution can have biased data, affecting model accuracy. A study simulated species data with biases to see how it impacts prediction. Results show that having more data is more important than fixing spatial bias for accurate predictions.