Tool name * MGET

Marine Geospatial Ecology Tools (MGET), also known as the GeoEco Python package, is an open source geoprocessing toolbox designed for coastal and marine researchers and GIS analysts who work with spatially-explicit ecological and oceanographic data in scientific or management workflows. MGET includes over 180 tools useful for a variety of tasks, such as converting oceanographic data to ArcGIS formats, identifying fronts in sea surface temperature images, fitting and evaluating statistical models such as GAMs and GLMs by integrating ArcGIS with the R statistics program, analyzing coral reef connectivity by simulating hydrodynamic larval dispersal, and building grids that summarize fishing effort, CPUE and other statistics. Currently under development are tools for identifying rings and eddy cores in sea surface height images, for analyzing connectivity networks, for estimating fishing effort when no effort data are available, for predicting hard bottom habitat from coarse grain bathymetry, and much more. MGET may be accessed from ArcGIS as a toolbox in the ArcToolbox window and from programming languages as a set of Python modules and COM components. Although 'Marine' is the first word in the title, many tools are not specific to marine problems. You may find these tools useful in a variety of situations

Category All, Data, Spatial Analysis, Spatial Planning
What step(s) in analysis framework 1a, 1b, 2b
What step(s) in Governance framework

ftware needed: ArcGIS version 9.1, Windows XP, Python 2.4

Data Quality Required

Modification Required

Not available

Expertise Required

The tool targets ecologists and analysts with moderate expertise in geographic information systems (GIS) and little experience in computer programming.

Spatial and Temporal

Not available


Not available

License cost issues


Literature: References & Manuals *
  • Roberts JJ, Best BD, Dunn DC, Treml EA, Halpin PN (2010) Marine Geospatial Ecology Tools: An integrated framework for ecological geoprocessing with ArcGIS, Python, R, MATLAB, and C++. Environmental Modelling & Software 25: 1197-1207. doi: 10.1016/j.envsoft.2010.03.029