开源海洋海岸生态软件Python GeoEco-0.7
2011-11-14 20:52
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GeoEco-0.7是研究海洋生态的专业软件。有200多个工具。可以整合ARGGIS.
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.
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.
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