dorsal/arxiv
View SchemaThe use of the GARP genetic algorithm and internet grid computing in the Lifemapper world atlas of species biodiversity
| Authors | David R. B. Stockwell, James H. Beach, Aimee Stewart, Gregory Vorontsov, David Vieglais, Ricardo Scachetti Pereira |
|---|---|
| Categories | |
| ArXiv ID | q-bio/0511045 |
| URL | https://arxiv.org/abs/q-bio/0511045 |
Abstract
Lifemapper (http://www.lifemapper.org) is a predictive electronic atlas of the Earth's biological biodiversity. Using a screensaver version of the GARP genetic algorithm for modeling species distributions, Lifemapper harnesses vast computing resources through 'volunteers' PCs similar to SETI@home, to develop models of the distribution of the worlds fauna and flora. The Lifemapper project's primary goal is to provide an up to date and comprehensive database of species maps and prediction models (i.e. a fauna and flora of the world) using available data on species' locations. The models are developed using specimen data from distributed museum collections and an archive of geospatial environmental correlates. A central server maintains a dynamic archive of species maps and models for research, outreach to the general community, and feedback to museum data providers. This paper is a case study in the role, use and justification of a genetic algorithm in development of large-scale environmental informatics infrastructure.
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"abstract": "Lifemapper (http://www.lifemapper.org) is a predictive electronic atlas of\nthe Earth\u0027s biological biodiversity. Using a screensaver version of the GARP\ngenetic algorithm for modeling species distributions, Lifemapper harnesses vast\ncomputing resources through \u0027volunteers\u0027 PCs similar to SETI@home, to develop\nmodels of the distribution of the worlds fauna and flora. The Lifemapper\nproject\u0027s primary goal is to provide an up to date and comprehensive database\nof species maps and prediction models (i.e. a fauna and flora of the world)\nusing available data on species\u0027 locations. The models are developed using\nspecimen data from distributed museum collections and an archive of geospatial\nenvironmental correlates. A central server maintains a dynamic archive of\nspecies maps and models for research, outreach to the general community, and\nfeedback to museum data providers. This paper is a case study in the role, use\nand justification of a genetic algorithm in development of large-scale\nenvironmental informatics infrastructure.",
"arxiv_id": "q-bio/0511045",
"authors": [
"David R. B. Stockwell",
"James H. Beach",
"Aimee Stewart",
"Gregory Vorontsov",
"David Vieglais",
"Ricardo Scachetti Pereira"
],
"categories": [
"q-bio.QM",
"cs.DC",
"cs.NE",
"q-bio.OT"
],
"title": "The use of the GARP genetic algorithm and internet grid computing in the Lifemapper world atlas of species biodiversity",
"url": "https://arxiv.org/abs/q-bio/0511045"
},
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