http://www.cnr.it/ontology/cnr/individuo/prodotto/ID277598
Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps. (Contributo in atti di convegno)
- Type
- Label
- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps. (Contributo in atti di convegno) (literal)
- Anno
- 2013-01-01T00:00:00+01:00 (literal)
- Alternative label
Coro G. (2013)
Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.
in ICANNGA'13 International Conference on Adaptive and Natural Computing Algorithms, Lausanne, Switzerland, April 4-6 2013
(literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
- progetto D4SCIENCE-II - Data Infrastructure Ecosystem for Science
grant agreement 239019 (literal)
- Note
- PuMa (literal)
- ISI Web of Science (WOS) (literal)
- Scopu (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- CNR-ISTI, Pisa, Italy. (literal)
- Titolo
- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps. (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
- 978-3-642-37212-4 (literal)
- Abstract
- Ecological Niche Modeling (ENM) is a branch of biology that uses algorithms to predict the distribution of species in a geographic area on the basis of a numerical representation of their preferred habitat and environment. Algorithmic maps can be produced for suitable or native habitats and require a review by human experts. During the review operation biologists use their knowledge about a species to modify the maps. They usually take algorithmic maps as starting point in the review. In this paper we provide a methodology for biologists to use the automatic maps as references also during and after the review process. Our approach is based on a comparison between the reviewed map and two systems: an expert system and a Feed Forward Neural Network. Furthermore we suggest an evaluation procedure of the quality of the environmental features used as training set, for assessing the models reliability. (literal)
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