Steven J Phillips

Summary

Affiliation: Florham Park
Country: USA

Publications

  1. ncbi Optimizing dispersal corridors for the Cape Proteaceae using network flow
    Steven J Phillips
    AT and T Labs Research, 180 Park Avenue, Florham Park, New Jersey 07932, USA
    Ecol Appl 18:1200-11. 2008
  2. ncbi Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
    Steven J Phillips
    AT and T Labs Research, 180 Park Avenue, Florham Park, New Jersey 07932, USA
    Ecol Appl 19:181-97. 2009
  3. ncbi POC plots: calibrating species distribution models with presence-only data
    Steven J Phillips
    AT and T Labs Research, 180 Park Avenue, Florham Park, New Jersey 07932, USA
    Ecology 91:2476-84. 2010

Detail Information

Publications3

  1. ncbi Optimizing dispersal corridors for the Cape Proteaceae using network flow
    Steven J Phillips
    AT and T Labs Research, 180 Park Avenue, Florham Park, New Jersey 07932, USA
    Ecol Appl 18:1200-11. 2008
    ..We show how to relate total dispersal distance to probability of successful dispersal, and compute a trade-off curve between this quantity and the total amount of extra land that must be protected...
  2. ncbi Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data
    Steven J Phillips
    AT and T Labs Research, 180 Park Avenue, Florham Park, New Jersey 07932, USA
    Ecol Appl 19:181-97. 2009
    ..We argue that increased awareness of the implications of spatial bias in surveys, and possible modeling remedies, will substantially improve predictions of species distributions...
  3. ncbi POC plots: calibrating species distribution models with presence-only data
    Steven J Phillips
    AT and T Labs Research, 180 Park Avenue, Florham Park, New Jersey 07932, USA
    Ecology 91:2476-84. 2010
    ..We demonstrate their use by recalibrating models made by the DOMAIN modeling method on a comprehensive set of 226 species from six regions of the world, significantly improving DOMAIN's predictive performance...