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Cloud Computing for Ecological Modeling in the D4Science Infrastructure

Abstract
Publication Date:
2013
abstract:
Species distribution modeling is a process aiming at computationally predicting the distribution of species in geographic areas on the basis of environmental parameters including climate data. In order to further promote the diffusion of such an approach it is fundamental to develop a flexible, comprehensive, and robust environment enabling practitioners to produce species distribution models more efficiently. A promising way to build such an environment is offered by modern infrastructures promoting the sharing of resources, including hardware, software, data and services. We describe an approach to species distribution modeling based on the D4Science Infrastructure that can offer a rich array of data and data management services by leveraging other infrastructures (including Cloud), by discussing the services needed to support the phases of such a complex process.
Iris type:
04.02 Abstract in Atti di convegno
Keywords:
Ecological Modeling; Cloud Computing; Digital Libraries
List of contributors:
Sinibaldi, Fabio; Pagano, Pasquale; Candela, Leonardo; Coro, Gianpaolo; Castelli, Donatella
Authors of the University:
CANDELA LEONARDO
CORO GIANPAOLO
PAGANO PASQUALE
SINIBALDI FABIO
Handle:
https://iris.cnr.it/handle/20.500.14243/263053
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