%0 Journal Article %1 renner_equivalence_2013 %A Renner, Ian W. %A Warton, David I. %D 2013 %J Biometrics %K distribution maxent, modelling point processes, species %N 1 %P 274--281 %R 10.1111/j.1541-0420.2012.01824.x %T Equivalence of MAXENT and Poisson Point Process Models for Species Distribution Modeling in Ecology %U http://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2012.01824.x/abstract %V 69 %X Modeling the spatial distribution of a species is a fundamental problem in ecology. A number of modeling methods have been developed, an extremely popular one being MAXENT, a maximum entropy modeling approach. In this article, we show that MAXENT is equivalent to a Poisson regression model and hence is related to a Poisson point process model, differing only in the intercept term, which is scale-dependent in MAXENT. We illustrate a number of improvements to MAXENT that follow from these relations. In particular, a point process model approach facilitates methods for choosing the appropriate spatial resolution, assessing model adequacy, and choosing the LASSO penalty parameter, all currently unavailable to MAXENT. The equivalence result represents a significant step in the unification of the species distribution modeling literature.

@article{renner_equivalence_2013, abstract = {Modeling the spatial distribution of a species is a fundamental problem in ecology. A number of modeling methods have been developed, an extremely popular one being MAXENT, a maximum entropy modeling approach. In this article, we show that MAXENT is equivalent to a Poisson regression model and hence is related to a Poisson point process model, differing only in the intercept term, which is scale-dependent in MAXENT. We illustrate a number of improvements to MAXENT that follow from these relations. In particular, a point process model approach facilitates methods for choosing the appropriate spatial resolution, assessing model adequacy, and choosing the LASSO penalty parameter, all currently unavailable to MAXENT. The equivalence result represents a significant step in the unification of the species distribution modeling literature.}, added-at = {2017-01-09T13:57:26.000+0100}, author = {Renner, Ian W. and Warton, David I.}, biburl = {https://www.bibsonomy.org/bibtex/23c1bd7a4dd86f06a996c6ba103c9ec14/yourwelcome}, doi = {10.1111/j.1541-0420.2012.01824.x}, interhash = {9df15d80e4ef9235a28ccf892dade78d}, intrahash = {3c1bd7a4dd86f06a996c6ba103c9ec14}, issn = {1541-0420}, journal = {Biometrics}, keywords = {distribution maxent, modelling point processes, species}, language = {en}, month = mar, number = 1, pages = {274--281}, timestamp = {2017-01-09T14:01:11.000+0100}, title = {Equivalence of {MAXENT} and {Poisson} {Point} {Process} {Models} for {Species} {Distribution} {Modeling} in {Ecology}}, url = {http://onlinelibrary.wiley.com/doi/10.1111/j.1541-0420.2012.01824.x/abstract}, urldate = {2017-01-06}, volume = 69, year = 2013 }