Applying bipartite network approach to scarce data: Modeling habitat suitability of a marine mammal species

Applying bipartite network approach to scarce data: Modeling habitat suitability of a marine mammal species

Current study intends to formulate a habitat suitability model of a newly surveyed marine mammal species where the research scenario is characterized by real-world data that is scarce with no detail demographic value available. It is extremely challenging to solve it using either traditional statist...

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Bibliographic Details
Main Authors: Chai, W.Y (Author), Ding L. (Author), Howlett R.J (Author), Jain L.C (Author), Labadin, J. (Author), Leong M.K (Author), Pang C. (Author), Peter, C. (Author), Tuen, A.A (Author), Ying, L.C (Author)
Format: Article
Language:English
Published: Elsevier B.V. 2015
Subjects:
Artificial intelligence
Bipartite network
Bipartite network modeling
Conservation
Differential equations
Ecology
Ecosystems
Graph theory
Habitat suitability
Irrawaddy dolphin
Knowledge based systems
Learning algorithms
Learning systems
Mammals
Network modeling
Network modeling approaches
Population statistics
Ranking
Scarce data
Social networking (online)
World Wide Web
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