A bayesian spatial approach for predicting seagrass occurrence

Estuarine, Coastal and Shelf Science

Volumn 131, Issue , 2013, Pages 206-212

  March, D ^a   Alos J ^a   Cabanellas Reboredo, M ^a   Infantes, E ^a   Jordi, A ^a   Palmer, M ^a  

^a INSTITUTO MEDITERRÁNEO DE ESTUDIOS AVANZADOS   (Spain)

Author keywords

Bayesian hierarchical model; Geographical distribution; Modeling; Seagrass; Spatial autocorrelation

Indexed keywords

AUTOCORRELATION; BAYESIAN ANALYSIS; DATA ACQUISITION; DATA SET; HIERARCHICAL SYSTEM; IMAGE ANALYSIS; LAND MANAGEMENT; LANDSAT; MEADOW; NUMERICAL MODEL; PROBABILITY; RESIDENCE TIME; SEAGRASS; SPATIAL RESOLUTION;

BALEARIC ISLANDS; MAJORCA; MEDITERRANEAN SEA; PALMA BAY; SPAIN;

POSIDONIA OCEANICA;

EID: 84883758774     PISSN: 02727714     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecss.2013.08.009     Document Type: Article

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