Journal article
Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C
JJ Roberts, BD Best, DC Dunn, EA Treml, PN Halpin
Environmental Modelling and Software | ELSEVIER SCI LTD | Published : 2010
Abstract
With the arrival of GPS, satellite remote sensing, and personal computers, the last two decades have witnessed rapid advances in the field of spatially-explicit marine ecological modeling. But with this innovation has come complexity. To keep up, ecologists must master multiple specialized software packages, such as ArcGIS for display and manipulation of geospatial data, R for statistical analysis, and MATLAB for matrix processing. This requires a costly investment of time and energy learning computer programming, a high hurdle for many ecologists. To provide easier access to advanced analytic methods, we developed Marine Geospatial Ecology Tools (MGET), an extensible collection of powerful,..
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Funding Acknowledgements
We thank Dave Ullman and Stephanie Hansen for providing example code for detecting SST fronts and geostrophic eddies. Several MGET tools are based on those examples. We thank Michelle Sims for providing example code and suggestions for improving several statistical tools. We thank four anonymous reviewers for providing suggestions that improved this manuscript. The development of MGET was made possible by a grant from the David and Lucile Packard Foundation, with additional support from NASA. Finally, MGET was built atop a lot of software developed by others, often for free. We acknowledge the generous contributions of these developers, too numerous to list here, on the MGET web site.