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Maximum Entropy modeling (Animalia)

Subcategory: species distribution modeling
Standard reference: Phillips et al. 2006
Papers: 1 | Mentions: 7

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Description

Used Maximum Entropy machine learning algorithm to predict species occurrence based on known presence locations and environmental variables, followed by independent field validation of model predictions.

Typical Equipment

  • MaxEnt software
  • ArcGIS software (ESRI)
  • 10-meter digital elevation maps (DEMs)
  • environmental variable layers

Output Measurements

  • habitat suitability probability
  • logistic output values
  • AUC values
  • TSS values

Papers Using This Protocol (1)

student_paper

Field validation of a distribution model for the yellow-bellied marmot (Marmota flaviventris).

2014using