Persisting challenges in multiple models: a note on commonly unnoticed issues regarding collinearity and spatial structure of ecological data

@article{Eisenlohr2014PersistingCI,
  title={Persisting challenges in multiple models: a note on commonly unnoticed issues regarding collinearity and spatial structure of ecological data},
  author={Pedro Vasconcellos Eisenlohr},
  journal={Brazilian Journal of Botany},
  year={2014},
  volume={37},
  pages={365-371}
}
There is a growing need to heed some caveats in numerical data analysis. In 2013, I set out some issues regarding multiple regression frameworks. Here, I used both hypothetical and real data sets collected in Brazil to discuss the implications of, and provide suggestions for, some statistical issues regarding to collinearity and spatial structure of ecological data. For example, a weak treatment of collinearities might lead to discarding important variables for the model, and this can be… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 31 REFERENCES

Model selection and information theory in geographical ecology

JAF Diniz Filho, TFLVB Rangel, LM Bini
  • Glob Ecol Biogeogr
  • 2008
VIEW 7 EXCERPTS
HIGHLY INFLUENTIAL

New insights into vegetation patterns and processes

M Öpik, F Bello, JN Price, LH Fraser
  • New Phytol
  • 2014
VIEW 2 EXCERPTS

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