Difference between revisions of "MaxEnt"
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==Description== | ==Description== | ||
This page explains how to use the MaxEnt Algorithm on the Statistical Manager with the i-Marine portal.. | This page explains how to use the MaxEnt Algorithm on the Statistical Manager with the i-Marine portal.. | ||
| − | The algorithm is hosted by the D4Science e-Infrastructure that supports i-Marine. It is a Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k at | + | The algorithm is hosted by the D4Science e-Infrastructure that supports i-Marine. It is a Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k at [http://www.cs.princeton.edu/~schapire/maxent/ Princeton University]. |
| − | In this adaptation the software accepts a table following the | + | In this adaptation the software accepts a table following the [http://i-marine.eu/Content/eTraining.aspx?id=43714ba2-4cb5-4e97-b77f-b6288c9358c2 Species Product Discovery service model] of i-Marine and a set of environmental layers in various formats (NetCDF, WFS, WCS, ASC, GeoTiff) via direct links or GeoExplorer UUIDs. |
The user can also set the bounding box and the spatial resolution (in decimal degrees) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one. | The user can also set the bounding box and the spatial resolution (in decimal degrees) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one. | ||
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Starting from this output, other processes of the Statistical Manager can be later applied to the raw values, for example to produce a GIS map (e.g. the "Statistical Manager Points to Map" process). | Starting from this output, other processes of the Statistical Manager can be later applied to the raw values, for example to produce a GIS map (e.g. the "Statistical Manager Points to Map" process). | ||
| − | Eventually, results can be shared with other participants to the e-Infrastructure using the [ | + | Eventually, results can be shared with other participants to the e-Infrastructure using the [http://i-marine.eu/Content/eTraining.aspx?id=07793722-b76a-4e92-b29a-3a05d3947ded&li=0 i-Marine workspace]. |
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==Demo Video== | ==Demo Video== | ||
Revision as of 10:40, 16 October 2014
Description
This page explains how to use the MaxEnt Algorithm on the Statistical Manager with the i-Marine portal.. The algorithm is hosted by the D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. e-InfrastructureAn operational combination of digital technologies (hardware and software), resources (data and services), communications (protocols, access rights and networks), and the people and organizational structures needed to support research efforts and collaboration in the large. that supports i-Marine. It is a Maximum-Entropy model for species habitat modeling, based on the implementation by Shapire et al. v 3.3.3k at Princeton University.
In this adaptation the software accepts a table following the Species Product Discovery service model of i-Marine and a set of environmental layers in various formats (NetCDF, WFSWeb Feature Service, WCSWeb Coverage Service, ASC, GeoTiff) via direct links or GeoExplorer UUIDs.
The user can also set the bounding box and the spatial resolution (in decimal degrees) of the training and the projection. The application will adapt the layers to that resolution if this is higher than the native one.
The output is made up of the following components:
- a thumbnail map of the projected model,
- the ROC curve,
- the Omission/Commission chart,
- a table containing the raw assigned values,
- a threshold to transform the table into a 0-1 probability distribution,
- a report of the importance of the used layers in the model,
- ASCII representations of the input layers to check their alignment.
Starting from this output, other processes of the Statistical Manager can be later applied to the raw values, for example to produce a GIS map (e.g. the "Statistical Manager Points to Map" process). Eventually, results can be shared with other participants to the e-InfrastructureAn operational combination of digital technologies (hardware and software), resources (data and services), communications (protocols, access rights and networks), and the people and organizational structures needed to support research efforts and collaboration in the large. using the i-Marine workspace.
Demo Video
Here is a demonstration of the usage of the MaxEnt algorithm on the Statistical Manager: http://goo.gl/TYYnTO
