Modelling species distributions with penalised logistic regressions: A comparison with maximum entropy models

Ecological Modelling

Volumn 222, Issue 13, 2011, Pages 2037-2041

  Gastón, Aitor ^a   García Viñas, Juan I ^a  

^a Technical University of Madrid   (Spain)

Author keywords

Calibration; Generalised linear models; Regularisation; Species distribution models

Indexed keywords

COMPLEX MODEL; ESTIMATED MODEL; ESTIMATION PROCEDURES; GENERALISED LINEAR MODELS; LOGISTIC REGRESSION MODELS; LOGISTIC REGRESSIONS; MAXENT MODELS; MAXIMUM ENTROPY MODELS; MODELLING METHOD; NOVEL METHODS; OVERFITTING; PREDICTIVE PERFORMANCE; PRESENCE-ABSENCE DATA; REGRESSION COEFFICIENT; REGULARISATION; SAMPLE SIZES; SPECIES DISTRIBUTION MODELLING; SPECIES DISTRIBUTION MODELS; SPECIES DISTRIBUTIONS; SUB-OPTIMAL METHOD; TRAINING SAMPLE; TREE SPECIES;

FORECASTING; MAXIMUM LIKELIHOOD ESTIMATION; POPULATION DISTRIBUTION; SAMPLING; STANDARDS; TREES (MATHEMATICS);

REGRESSION ANALYSIS;

ACCURACY ASSESSMENT; CALIBRATION; COMPARATIVE STUDY; ENTROPY; ESTIMATION METHOD; LOGISTICS; NUMERICAL MODEL; POPULATION DISTRIBUTION; REGRESSION ANALYSIS; REGULATORY APPROACH; SPECIES DIVERSITY;

EID: 79956274588     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2011.04.015     Document Type: Article

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