MaxEnt

Description

This page explains how to use the MaxEnt Algorithm on the Statistical Manager via the D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. 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., which the D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. e-infrastructure relies on. 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 D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. 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 D4Science workspace.

Link to the process

The MaxEnt process can be found on the Statistical Manager, on the D4Science web portal.

You should access the "Execute an Experiment" section and open the "Bayesian Methods" category, or use the search box writing "Max Ent".

Demo Video

A demonstration video is available to demonstrate how to access and use the MaxEnt algorithm on the Statistical Manager

Inputs

An example of the MaxEnt process configuration

The inputs tp the MaxEnt procedure are the following:

SPD Input Template.

Parameter Name	Description	Example
SpeciesName	The name of the species to model and the occurrence records refer to. If the name is not important this can be a generic string.	Latimeria chalumnae
MaxIterations	The number of learning iterations of the MaxEnt algorithm	1000
DefaultPrevalence	A priori probability of presence at ordinary occurrence points. Ref. Santika 2010	0.5
OccurrencesTable	A geospatial table containing occurrence records, following the template of the Species Products Discovery datasets. See section below for more details.	LatimeriaPointsTable
LongitudeColumn	The table column containing longitude values	decimallongitude
LatitudeColumn	The table column containing latitude values	decimallatitude
Z	Value of Z. Default is 0, that means environmental layers processing will be at surface level or at the first avaliable Z value in the layer	0
TimeIndex	Time Index. The default is the first time indexed in the input environmental datasets	0
XResolution	Model projection resolution on the X axis in decimal degrees	1
YResolution	Model projection resolution on the Y axis in decimal degrees	1
Layers	The list of environmental layers to use for enriching the points. Each entry is a layer Title or UUID or HTTP link. See section below for further details.	https://dl.dropboxusercontent.com/u/12809149/wind1.tif

SPD Input Format

The algorithm needs a table to be uploaded on the Statistical Manager. To use the upload facilities, refer to the Statistical Manager Tutorial page. The uploaded table should follow the Species Product Discovery (SPD) template and can be generate by the SPD service. One example is here.

SPD Input Template.

Field name	Format
institutioncode	string
collectioncode	string
catalognumber	string
dataset	string
dataprovider	string
datasource	string
scientificnameauthorship	string
identifiedby	string
credits	string
recordedby	string
eventdate	timestamp without time zone
modified	timestamp without time zone
scientificname	string
kingdom	string
family	string
locality	string
country	string
citation	string
decimallatitude	double precision
decimallongitude	double precision
coordinateuncertaintyinmeters	string
maxdepth	double precision
mindepth	double precision
basisofrecord	string

The fields could be also empty, except for the decimallatitude and decimallongitude fields. This allows to apply MaxEnt also to other domains than species distributions modelling. Note that the template closely follows the Darwin Core format.

Feeding the algorithm with Input Maps

In the layers box users can insert links to maps that will be used to associate environmental values to species occurrence records. The model will project values only in locations where all the layers have defined values. The "+" button allows to insert a new input environmental layer.

Input Examples

Example of environmental layers used as inputs

Input from D4ScienceAn e-Infrastructure operated by the D4Science.org initiative. GeoExplorer

using the D4Science GeoExplorer application:

• search for an environmental layer (e.g. temperature)
• click on one of the found layers
• in the "Summary Layer Info" panel on the right side of the panel, scroll down and select the Metadata UUID string (e.g. cd048cb5-dbb6-414b-a3b9-1f3ac512fbff)
• paste the UUID in the layers box in MaxEnt

Input from a WFSWeb Feature Service link

MaxEnt can import WFSWeb Feature Service links residing either on a GeoServer or on a MapServer. The server should be configured to produce maps details in json format. In this case, you can insert the direct WFSWeb Feature Service link in the layers box, without specifying the bounding box.

Example:

http://geoserver-dev.d4science-ii.research-infrastructures.eu/geoserver/ows?service=wfs&version=1.0.0&request=GetFeature&srsName=urn:x-ogc:def:crs:EPSG:4326&TYPENAME=aquamaps:worldborders

Please, use EPSG:4326 as projection.

Input from a WCSWeb Coverage Service link

You can insert a direct WCSWeb Coverage Service link.

Example:

http://geoserver-dev.d4science-ii.research-infrastructures.eu/geoserver/wcs/wcs?service=wcs&version=1.0.0&request=GetCoverage&coverage=aquamaps:WorldClimBio2&CRS=EPSG:4326&RESPONSE_CRS=EPSG:4326

Please, use EPSG:4326 as projection.

Input from a NetCDF-GRID file

You can insert the OpenDAP link to a NetCDF file, only if this contains one single dimension layer.

Example:

http://thredds.research-infrastructures.eu/thredds/dodsC/public/netcdf/WOA2005TemperatureAnnual_CLIMATOLOGY_METEOROLOGY_ATMOSPHERE_.nc

ASC ESRI-GRID files

You can insert a direct http link to an ESRI-GRID file, even using local-machines common publishing tools (e.g. dropbox).

Example:

http://thredds.research-infrastructures.eu/thredds/fileServer/public/netcdf/ph.asc

https://dl.dropboxusercontent.com/u/12809149/layer1.asc

GeoTiffs

Http links to GeoTiff files are allowed, even using local-machines common publishing tools (e.g. dropbox).

Example:

https://dl.dropboxusercontent.com/u/12809149/wind1.tif

Contacts

For questions and bug alerts use this form.