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Data prevalence matters when assessing species' responses using data-driven species distribution models

Shinji Fukuda (UGent) and Bernard De Baets (UGent)
(2016) ECOLOGICAL INFORMATICS. 32. p.69-78
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Keywords
Species distribution model, Species-environment relationship, Prevalence, Ecological trait, Data-driven model, Virtual species, MEDAKA ORYZIAS-LATIPES, RANDOM FORESTS, NEURAL-NETWORKS, SIMULATED DATA, CLASSIFICATION, PREDICTION, PERFORMANCE, ABSENCES, ECOLOGY, SYSTEMS

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Citation

Please use this url to cite or link to this publication:

MLA
Fukuda, Shinji, and Bernard De Baets. “Data Prevalence Matters When Assessing Species’ Responses Using Data-driven Species Distribution Models.” ECOLOGICAL INFORMATICS 32 (2016): 69–78. Print.
APA
Fukuda, S., & De Baets, B. (2016). Data prevalence matters when assessing species’ responses using data-driven species distribution models. ECOLOGICAL INFORMATICS, 32, 69–78.
Chicago author-date
Fukuda, Shinji, and Bernard De Baets. 2016. “Data Prevalence Matters When Assessing Species’ Responses Using Data-driven Species Distribution Models.” Ecological Informatics 32: 69–78.
Chicago author-date (all authors)
Fukuda, Shinji, and Bernard De Baets. 2016. “Data Prevalence Matters When Assessing Species’ Responses Using Data-driven Species Distribution Models.” Ecological Informatics 32: 69–78.
Vancouver
1.
Fukuda S, De Baets B. Data prevalence matters when assessing species’ responses using data-driven species distribution models. ECOLOGICAL INFORMATICS. 2016;32:69–78.
IEEE
[1]
S. Fukuda and B. De Baets, “Data prevalence matters when assessing species’ responses using data-driven species distribution models,” ECOLOGICAL INFORMATICS, vol. 32, pp. 69–78, 2016.
@article{7243946,
  author       = {Fukuda, Shinji and De Baets, Bernard},
  issn         = {1574-9541},
  journal      = {ECOLOGICAL INFORMATICS},
  keywords     = {Species distribution model,Species-environment relationship,Prevalence,Ecological trait,Data-driven model,Virtual species,MEDAKA ORYZIAS-LATIPES,RANDOM FORESTS,NEURAL-NETWORKS,SIMULATED DATA,CLASSIFICATION,PREDICTION,PERFORMANCE,ABSENCES,ECOLOGY,SYSTEMS},
  language     = {eng},
  pages        = {69--78},
  title        = {Data prevalence matters when assessing species' responses using data-driven species distribution models},
  url          = {http://dx.doi.org/10.1016/j.ecoinf.2016.01.005},
  volume       = {32},
  year         = {2016},
}

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