This page lists publications and reports for studies and projects that we are aware used MGET in some way. If you know of something that is not listed here, please contact Forthcoming Lins L, Guilini K, Veit-Köhler G, Hauquier F, Alves RMS, Esteves AM, Vanreusel A (in press) The link between meiofauna and surface productivity …
Contributors MGET was written by Jason Roberts, Ben Best, Daniel Dunn, and Eric Treml. Pat Halpin supervises the project. MGET relies on the contributions of many others in the open source community. Sponsors
In MGET 0.8a42, we introduced a simplified workflow for predictive modeling, shown here for generalized linear models (GLMs). The new workflow is the same for all model types (GLM, GAM, etc.) and consists of three steps: Fit the model to training data in a table. This works the same as before. The model formula specifies …
As part of our recent overhaul of the predictive modeling tools, we added support for random forests as a new modeling type. Random forest (Breiman, 2001) is machine learning algorithm that fits many classification or regression tree (CART) models to random subsets of the input data and uses the combined result (the forest) for prediction. A …
For additional help with these tools, please contact mget-help@nicholas.duke.edu We are pleased to announce a major update to MGET’s larval connectivity modeling tools. Prior to MGET 0.8a62, the larval connectivity modeling tools were based on the approach described in Treml et al. (2008). In MGET 0.8a62, we added new tools that implement the Treml et …
If you use MGET in your project, please cite our papers in your publications. Your citations help us continue to provide MGET as free software. Thanks for your support! If you are unable to download any of the papers below, e.g. because they are blocked by a paywall that you cannot get through, please email …
In ArcGIS, MGET appears as a geoprocessing toolbox. The toolbox contains about 300 tools. The tools may be executed individually, wired together into graphical workflows using the ArcGIS ModelBuilder, executed programmatically from geoprocessing scripts, or executed from the ArcGIS Command Line window. Accessing the MGET toolbox in the ArcToolbox window After you have installed MGET …
Marine Geospatial Ecology Tools is Free/Open Source software which depends on Microsoft Windows and Python. If you use MGET in your project, please cite our papers in your publications. Your citations help us continue to provide MGET as free software. Thanks for your support! MGET 0.8a79, released 8 September 2023 Platform Python Compatible With Download …
Marine Geospatial Ecology Tools Download the open-source geoprocessing toolbox to help solve a wide variety of marine research, conservation, & spatial planning problems. What is it? Marine Geospatial Ecology Tools (MGET) is a free, open-source geoprocessing toolbox that can help you solve a wide variety of marine research, conservation, and spatial planning problems. MGET plugs …
In December, following the Society for Marine Mammalogy’s 20th Biennial Conference on Marine Mammals in Otago, New Zealand, we conducted 1-day workshops at the University of Otago and University of Auckland. Thanks to all who attended! A special thanks to the workshop organizers, Judy Rodda and Rochelle Constantine. At the workshops, we presented introductory lectures on MGET, …