An evaluation of three statistical methods used to model resource selection

Ecological Modelling

Volumn 221, Issue 4, 2010, Pages 565-574

  Baasch, David M ^a   Tyre, Andrew J ^a   Millspaugh, Joshua J ^b   Hygnstrom, Scott E ^a   Vercauteren, Kurt C ^c  

^a UNIVERSITY OF NEBRASKA LINCOLN   (United States)

^b UNIVERSITY OF MISSOURI   (United States)

^c NATIONAL WILDLIFE RESEARCH CENTER   (United States)

Author keywords

Discrete choice; Evaluation of methods; Logistic regression; Maxent; Resource selection; Simulation

Indexed keywords

CHOICE MODELING; DISCRETE CHOICE; EVALUATION OF METHODS; FIELD DATA; LINEAR REGRESSION METHODS; MAXIMUM ENTROPY METHODS; MODEL PERFORMANCE; NEBRASKA; RANDOM LOCATION; RECEIVER OPERATING CHARACTERISTIC CURVES; REGRESSION MODEL; RESOURCE SELECTION; SAMPLE SIZES; SIMPLE LINEAR REGRESSION; SIMULATED DATA; SIMULATION TECHNIQUE; STUDY AREAS; WILDLIFE REFUGE;

ANIMALS; FUNCTION EVALUATION; LOCATION; PROBABILITY DENSITY FUNCTION; REGRESSION ANALYSIS; STATISTICS;

PROBABILITY DISTRIBUTIONS;

ANIMAL; DATA INTERPRETATION; DATA SET; ECOLOGICAL MODELING; HOME RANGE; MOBILITY; REFUGE; RESOURCE SELECTION; STATISTICAL ANALYSIS;

DESOTO NATIONAL WILDLIFE REFUGE; UNITED STATES;

ANIMALIA;

EID: 73949151923     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2009.10.033     Document Type: Article

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