<?xml version="1.0" encoding="UTF-8" ?>
<rdf:RDF xmlns="http://usefulinc.com/ns/doap#" xmlns:foaf="http://xmlns.com/foaf/0.1/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"><Project><name>GeoEco</name>
<shortdesc>Marine Geospatial Ecology Tools</shortdesc>
<description>Marine Geospatial Ecology Tools
-------------------------------

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 150 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.

Although "Marine" is the first word in the title, many of the tools are not 
specific to marine problems. You may find these tools useful in a variety of 
situations. 

Key Features
------------

* Free, open-source software written in Python, R, MATLAB, and C++

* Distributed as a self-installing setup program, for easy installation

* Each "tool" is a software subroutine designed to be invoked programmatically

* For easy execution from many environments, each tool is exposed from:

  * A Python class

  * A dual-interface Microsoft COM class (on Windows)

  * An ArcGIS geoprocessing toolbox

* Many tools have both single-input and multi-input (batch processing)
  implementations

* All tools include full documentation, one version tailored to Python
  programmers and another to ArcGIS users

* A verbose logging system eases troubleshooting of difficult failures

* All tools are written to maximize reliability, interoperability and 
  performance

* Many tools do not require Windows or ArcGIS; we hope to issue non-Windows
  releases in the future

Download and More Information
-----------------------------

Visit our home page http://code.env.duke.edu/projects/mget/</description>
<homepage rdf:resource="http://code.env.duke.edu/projects/mget" />
<maintainer><foaf:Person><foaf:name>Jason Roberts</foaf:name>
<foaf:mbox_sha1sum>42645a0ed6a09cdad5bc8d1b47aa37d75aeabfdc</foaf:mbox_sha1sum></foaf:Person></maintainer>
<release><Version><revision>0.6</revision></Version></release>
</Project></rdf:RDF>