openModeller

Page history last edited by Anonymous 1 yr ago

 

openModeller

Summary

Type of tool

A suite of tools

Function

Niche modelling

Online / Desktop

Desktop

Computer infrastructure

Cross-platform

Development status

Operational and active. Version 1.06   October 2007

Time of use

As a post process, when data is with user

Licence

Open Source

openModeller is a generic framework for carrying out fundamental niche modelling experiments - typically used to predict species distribution given a set of environmental raster layers.1

 

Description

The openModeller project aims to provide a flexible, user friendly, cross-platform environment where the entire process of conducting a fundamental niche modelling experiment can be carried out. The software includes facilities for reading species occurrence and environmental data, selection of environmental layers on which the model should be based, creating a fundamental niche model and projecting the model into an environmental scenario.  A number of fundamental niche modelling algorithms are provided as plug-ins, including GARP, Climate Space Model, Bioclimatic Envelopes, and others. Additional algorithms are planned for the future.2

 

 

openModeller Desktop Map Viewer3

 

openModellerDesktop is a cross platform, user friendly interface to the openModeller library. With openModellerDesktop you create an experiment consisting of one or more models. When you run the experiment, a model is computed to predict the distribution of each taxon you have selected. The model is then used to generate ('project') a probability distribution map. An embedded mapping component in openModellerDesktop allows you to visualise the probability distribution map, and shows the original occurrence points overlaid on to of the map.4

 

Models are generated by an algorithm that receives as input a set of occurrence points (latitude/longitude) and a set of environmental layer files. It's being written in C++ ANSI with platform independence in mind. It accepts different algorithms (now BIOCLIM and simple Cartesian distance algorithms, GARP, Climate Space Model, and in the near future GAM, GLM, Neural Nets, etc). It uses GDAL to read several map file formats and proj4 to convert between different georeferencing systems and projections.

 

 

A client-server architecture will be used as a first approach, enabling the existence of different client interfaces (desktop, command line and web-based). In the future some tasks could be performed in a distributed way5

   

The project is currently being developed by the Centro de Referência em Informação Ambiental (CRIA ), Escola Politécnica da USP (Poli ), and Instituto Nacional de Pesquisas Espaciais (INPE ) as an open-source initiative. It is funded by Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP), the Incofish project, and by individuals that have generously contributed their time. Previous collaborators include the BDWorld project, the University of Kansas Natural History Museum & Biodiversity Research Center (KU), and other individual participants. 6

 

Function

  • Analysis tools
    • Complex – niche modelling
  • User interface
    • Personal use with a visual presentation

 

Why use this tool?

  • For niche modelling

 

 Who will use this tool?

  • Data users
    • Expert

 

 How will the tool be used?

  • This is a desktop tool which can be run with a console.
  • openModeller library package can be run from the command line of a scripted environment7
  • Versions are available for Windows, Mac, Unix.
  • Source code is available.

 

 Where in the data chain could this tool be used?

  • User’s machine

 

 When could this tool be used?

  • As a post process, after data is with the user

 

Availability

 

Comments

 

 


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