A novel method for mapping reefs and subtidal rocky habitats using artificial neural networks

Ecological Modelling

Volumn 222, Issue 15, 2011, Pages 2606-2614

  Watts, Michael J ^a   Li, Yuxiao ^a   Russell, Bayden D ^a   Mellin, Camille ^a,b   Connell, Sean D ^a   Fordham, Damien A ^a  

^a UNIVERSITY OF ADELAIDE   (Australia)

^b AUSTRALIAN INSTITUTE OF MARINE SCIENCE   (Australia)

Author keywords

Artificial neural networks; Bathymetry; Reefs; Subtidal rocky habitat

Indexed keywords

BATHYMETRIC DATA; COMMUNITY BASED APPROACH; CONSERVATION MANAGEMENT; CONSERVATION PLANNING; DATA SETS; GRID CELLS; HUMAN USE; MONETARY CONSTRAINTS; NOVEL METHODS; OVERFITTING; SPATIAL EXTENT; SPATIAL RESOLUTION; SPECIES DISTRIBUTION MODELS; STANDARD METHOD; SUBTIDAL ROCKY HABITAT;

BATHYMETRY; BIODIVERSITY; CONSERVATION; ECOSYSTEMS; REEFS; SPACE DIVISION MULTIPLE ACCESS; STATISTICAL TESTS;

NEURAL NETWORKS;

ACCURACY ASSESSMENT; ARTIFICIAL NEURAL NETWORK; BATHYMETRY; BIODIVERSITY; COASTAL ZONE MANAGEMENT; COMMERCIAL SPECIES; CONSERVATION MANAGEMENT; DATA SET; FISH; FORECASTING METHOD; GEOGRAPHICAL REGION; HABITAT CONSERVATION; HABITAT TYPE; INVERTEBRATE; LOGISTICS; MAPPING METHOD; POPULATION DISTRIBUTION; REEF; RESEARCH WORK; SLOPE; SPATIAL ANALYSIS; SPATIAL RESOLUTION; SUBTIDAL ENVIRONMENT; SURVEY;

AUSTRALIA;

INVERTEBRATA;

EID: 79959638731     PISSN: 03043800     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.ecolmodel.2011.04.024     Document Type: Article

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