ecogrid & virtual laboratory for e-science willem bouten, project leader floris sluiter, design...
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Ecogrid&
Virtual Laboratory for e-Science
Willem Bouten, project leaderFloris Sluiter, design & implementationGuido van Reenen, data analysis
Victor Mensing, VlinderstichtingDirk Zoetebier, SovonAart Jan van der Linden, Talmon Comm.
from field observation to spatial knowledge
CBPG
Virtual Laboratory for e-ScienceMission
To boost e-Science by creating an e-Science environment and carrying out research on methodologies.
Essential components
- e-Science development areas
- a Virtual Laboratory development area
- a Large-Scale Distributed computing development area, consisting of high performance networking and grid parts
Virtual Laboratory for e-ScienceAim
To develop and apply a Grid and Virtual Lab technology based information system and research environment.
Virtual Laboratory for e-Science
P1 – e-Science in ApplicationsP2 – generic Virtual Laboratory methodologyP3 – large-scale distributes systemsP4 – scaling up & validating in ‘real-time’ applications
VL- e
The VL-e project has four programme lines, most of them containing more than one subprogramme.
Virtual Laboratory for e-Science
P1 – e-Science in ApplicationsSP1 – Data Intensive ScienceSP2 – Food InformaticsSP3 – Medical Diagnosis & ImagingSP4 – BiodiversitySP5 – Bioinformatics ASPSP6 – The Dutch Telescience Laboratory
VL- e
e-Science in Applications
Research of the P1 line is carried out within the following subprogrammes:
Virtual Laboratory for e-Science
Biodiversity
Aim
To develop and apply a Grid and Virtual Lab technology based information system and research environment
for identification, distribution, integration and analyses of observations and model results of the dynamics of flora and fauna
VL- e
e-Science in Applications
biodiversity
Virtual Laboratory for e-Science
Biodiversity
Partners:
CBPG – Computational Bio- and Physical Geography(IBED – Institute for Biodiversity and Ecosystem Dynamics)(UvA – Universiteit van Amsterdam)
RNLAF – Royal Netherlands AirforceVOFF – Association for Research of Flora & Fauna
And co-operation with other programme lines, especially subprogrammes of P2 (generic Virtual Laboratory methodology)
VL- e
e-Science in Applications
biodiversity CBPG
Virtual Laboratory for e-Science
Biodiversity
Two main components:
1. a national database for biodiversity information
this talk (Ecogrid)
2. a PSE for integrated analysis of observations and model results
topic of Judy Shamoun-Baranes (BAMBAS)
VL- e
e-Science in Applications
biodiversity
EcoGrid
EcogridObjectives
1. Construct a virtual database that is connected to geographically distributed databases which contain information on the distributions of species, on landscape characteristics and on weather.
EcogridObjectives
1. Construct a virtual database that is connected to geographically distributed databases which contain information on the distributions of species, on landscape characteristics and on weather.
2. Develop generic methodologies and tools for scale conversions, to be able to integrate and interpret data that are observed at different spatial scales.
EcogridObjectives
1. Construct a virtual database that is connected to geographically distributed databases which contain information on the distributions of species, on landscape characteristics and on weather.
2. Develop generic methodologies and tools for scale conversions, to be able to integrate and interpret data that are observed at different spatial scales.
3. Use this infrastructure across the boundaries of organisations to indentify:- spatial wood web structures- biodiversity hotspots- effects of changed land-use- ...
Example: insect diversity and Red-backed Shrikes
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Nitrogen dep. }
Initial Situation
VlinderstichtingFLORONNMVRAVONBLWGVZZ ANNEMOONEIS-NLTineaSOVON
VOFF{
Ecogrid - data acquisition
} centralVOFF
database
Ecogrid - data acquisition
observationobservationtaxonomytaxonomy localitylocality
SOVON
NCO databases
central databases
NCO databases
Data shared by all NCO’s
NCO-specific data
RAVON
GISmapsetc.
ACTIVE MEMBER
PK Person ID
central databases
SPECIES
PK Taxon ID
OBSERVATION
PK Observation ID
Species ID
NCO databases
OBSERVATOR GROUP
FK Person ID
FK Observation ID
Main Observator
TAXONOMYWEBwebpages
PERSONSportal login
METADATA
GIS LOCATION
km hokx, yrouterelevé
EXTRA INFO
• Spatial functions to query (SQL) within and across layers:
• Equals()
• Disjoint()
• Intersects()
• Touches()
• Crosses()
• Within()
• Contains()
• Overlaps()
• Special indexing techniques (GisT)‘Layers’ build with these data types,
stored as tables in PostgreSQL/PostGIS.
spatial databases
dataacquisition
portal
dataacquisition
portal
EcoGridvirtualmeta
database
Spotfire
data miningmodules
geostatistics
scale conversionmodules
modelexperiments
processeddata
centraldatabases
VOFF
centraldatabases
VOFF
landscapelandscape
weatherweather
VL-eScience Research Environment
scienceportal
scienceportal
BAMBASdatabase
Ecogrid system - overview
dataacquisition
portal
dataacquisition
portal
EcoGridvirtualmeta
database
Spotfire
data miningmodules
geostatistics
scale conversionmodules
modelexperiments
processeddata
landscapelandscape
weatherweather
VL-eScience Research Environment
scienceportal
scienceportal
BAMBASdatabase
Ecogrid system - prototype
SOVON
Ecogrid - portal prototype
Ecogrid - portal prototype
Ecogrid - portal prototype
Ecogrid - portal prototype
Ecogrid - portal prototype
• PostgreSQL (and Postgis) are especially suited for large scientific databases
• By the end of this year all the databases will be populated and we will have online data acquisition.
• Then we will shift our focus on using the data and concentrate on Analysis and Datamining
Concluding remarks