species distribution modeling alexandre copertino jardim antonio miguel vieira monteiro karla donato...
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Species Distribution Modeling
Alexandre Copertino JardimAntonio Miguel Vieira
MonteiroKarla Donato Fook
Lúbia VinhasSilvana Amaral
Scientific Workshop In Geoinformatics, INPE, 18 February 2009
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Context
The project involves three institutions: CRIA (Reference Center on
Environmental Information), Poli (Escola Politécnica/ USP), and INPE.
openModeller’s project goal is to develop a framework to facilitate the
work of scientists in predictive modeling of species distribution:
develop a component-based modeling framework with reusable modules
compliant with web services technology
enable the existence of multiple interfaces (web, desktop, command line,
web service)
facilitate access to distributed biological and environmental data networks
...
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The SD modeling process
Geographic position
Occurrence data
Precipitation
Topography
Temperature
Environmental data
Predictive distribution
Alg
ori
thm
NDVI
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GIS integration
FilesFile
GIS
Initially
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GIS integration
Files
GISData Source
W*SDB
Reviewed architecture
Algorithms
Other libraries can be integrated
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GIS integration – loose coupling
TerraView: TerraLib–OM Plugin:
Allowing the user to work with the concept
of data source
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Environmental Data
http://www.gbif.org
Alexandre Jardim in a Master student, working on
creating a Web Environmental Catalogue Service:
- an ontology for environmental data in the domain
of SDM
- a WS that identifies data sources exporting data
as WCS and that makes a mapping between its
metadata and the SDM ontoloy
- a client interface to the WECS and openModeller
- evaluate the WCS specification for the SDM
domain
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Web
Client applications
Researcher Researcher Researcher
WBCMSWeb Biodiversity Collaborative Modelling Services
Client Applications
Model instances
Catalogue
Karla Fook in her phD work proposes an approach
for sharing species distribution modeling on Web
Publish modeling experiments and their
provenance, to make it available into catalogues,
and to enable researchers to perform new models
based in catalogued model instances
Sharing modeling experience
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The model instance includes data and
metadata about the model, its
generation process, and
experiment results.
Which species are being modelled?Where does the data come from?
Which environmental variables and algorithms are being used?
If I have a question, how can I look for similar results?
Model Instance
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WBCMS Architecture
WBCMS
ModelProcessorAccessProcessorCatalogueProcessor
Web
Client applications
Researcher
Researcher Researcher
Researcher
Model Instances CataloguesBiodiversity Collections
WS_2 WS_N
Map Servers
WS_1
RepositoriesCatalogue
ModelProcessorAccessProcessorCatalogueProcessor
WFS(TeOGC)
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WBCMS Architecture
WBCMS
ModelProcessorAccessProcessorCatalogueProcessor
Web
Client applications
Researcher
Researcher Researcher
Researcher
Model Instances CataloguesBiodiversity Collections
WS_2 WS_N
Map Servers
WS_1
RepositoriesCatalogue
ModelProcessorAccessProcessorCatalogueProcessor
WFS(TeOGC)
Client Applications
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Catalogue Client Application
OpenModellermodelling result
statusmsg
Model Instances
WBCMS
Model Instance
Web Services
Biodiversity Data
Researcher
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Access Client Application
Model Instance
Model Instance
Query
Researcher
WBCMS
Model Instances
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Species Distribution Maps
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Final Comments
The conceptual framework of web services supplies a base for development of collaborative environment for species distribution modelling
WBCMS architecture Allows sharing experiments in a species distribution network Enables researchers to perform new models based in
previous ones Allows comparing results Experiments have demonstrated the viability of the
proposals and ideas Future work
More complex queries Model instances reuse statistics Make Web Biodiversity Collaborative Modelling Services (WBCMS)
available