← Back to Protocolscomputational

Maximum Entropy modeling (Animalia)

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

Local Knowledge Graph (17 entities)

Loading graph...

Knowledge graph centered on Maximum Entropy modeling (Animalia) with 17 nodes and 46 connections. Top connected: climate change, antipredator behavior, space use, nesting preferences, habitat quality.

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