Domain adaptation for visual applications: A comprehensive survey

G Csurka - ar** species distributions with MAXENT using a geographically biased sample of presence data: a performance assessment of methods for correcting sampling …
Y Fourcade, JO Engler, D Rödder, J Secondi - PloS one, 2014 - journals.plos.org
MAXENT is now a common species distribution modeling (SDM) tool used by conservation
practitioners for predicting the distribution of a species from a set of records and …

[HTML][HTML] A bitter cup: climate change profile of global production of Arabica and Robusta coffee

C Bunn, P Läderach, O Ovalle Rivera, D Kirschke - Climatic change, 2015 - Springer
Coffee has proven to be highly sensitive to climate change. Because coffee plantations have
a lifespan of about thirty years, the likely effects of future climates are already a concern …

Spatial bias in the GBIF database and its effect on modeling species' geographic distributions

J Beck, M Böller, A Erhardt, W Schwanghart - Ecological Informatics, 2014 - Elsevier
Species distribution modeling, in combination with databases of specimen distribution
records, is advocated as a solution to the problem of distributional data limitation in …

A statistical explanation of MaxEnt for ecologists

J Elith, SJ Phillips, T Hastie, M Dudík… - Diversity and …, 2011 - Wiley Online Library
MaxEnt is a program for modelling species distributions from presence‐only species
records. This paper is written for ecologists and describes the MaxEnt model from a …