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Fact Sheet 2014–3007

SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails)—Training Course

By Tracy Holcombe

Thumbnail of and link to report PDF (1.69 MB)Abstract

VisTrails is an open-source management and scientific workflow system designed to integrate the best of both scientific workflow and scientific visualization systems. Developers can extend the functionality of the VisTrails system by creating custom modules for bundled VisTrails packages. The Invasive Species Science Branch of the U.S. Geological Survey (USGS) Fort Collins Science Center (FORT) and the U.S. Department of the Interior’s North Central Climate Science Center have teamed up to develop and implement such a module—the Software for Assisted Habitat Modeling (SAHM). SAHM expedites habitat modeling and helps maintain a record of the various input data, the steps before and after processing, and the modeling options incorporated in the construction of an ecological response model. There are four main advantages to using the SAHM:VisTrails combined package for species distribution modeling: (1) formalization and tractable recording of the entire modeling process; (2) easier collaboration through a common modeling framework; (3) a user-friendly graphical interface to manage file input, model runs, and output; and (4) extensibility to incorporate future and additional modeling routines and tools.

In order to meet increased interest in the SAHM:VisTrails package, the FORT offers a training course twice a year. The course includes a combination of lecture, hands-on work, and discussion. Please join us and other ecological modelers to learn the capabilities of the SAHM:VisTrails package.

First posted August 22, 2014

For additional information contact:
Director, Fort Collins Science Center
U.S. Geological Survey
2150 Centre Ave., Bldg. C
Fort Collins, CO 80526-8118
http://www.fort.usgs.gov/

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Suggested citation:

Holcombe, Tracy, 2014, SAHM:VisTrails (Software for Assisted Habitat Modeling for VisTrails)—Training course: U.S. Geological Survey Fact Sheet 2014–3007, 2 p., https://dx.doi.org/10.3133/fs20143007.

ISSN 2327-6932 (online)




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