Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.

@article{Phillips2009SampleSB,
  title={Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.},
  author={Steven J. Phillips and Miroslav Dud{\'i}k and Jane Elith and Catherine Helen Graham and Anthony Lehmann and John R. Leathwick and Simon Ferrier},
  journal={Ecological applications : a publication of the Ecological Society of America},
  year={2009},
  volume={19 1},
  pages={
          181-97
        }
}
Most methods for modeling species distributions from occurrence records require additional data representing the range of environmental conditions in the modeled region. These data, called background or pseudo-absence data, are usually drawn at random from the entire region, whereas occurrence collection is often spatially biased toward easily accessed areas. Since the spatial bias generally results in environmental bias, the difference between occurrence collection and background sampling may… CONTINUE READING

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