Ecogrid & Virtual Laboratory for e-Science

1. Ecogrid & Virtual Laboratory for e-Science from field observation to spatial knowledge Willem Bouten, project leader Floris Sluiter, design & implementation Guido van Reenen, data analysis Victor Mensing, Vlinderstichting Dirk Zoetebier, Sovon Aart Jan van der Linden, Talmon Comm. CBPG

2. Virtual Laboratory for e-Science Mission 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

3. Virtual Laboratory for e-Science Aim To develop and apply a Grid and Virtual Lab technology based information system and research environment.

4. Virtual Laboratory for e-Science The VL-e project has four programme lines, most of them containing more than one subprogramme. P1 – e-Science in Applications P2 – generic Virtual Laboratory methodology P3 – large-scale distributes systems P4 – scaling up & validating in ‘real-time’ applications VL- e

5. VL- e e-Science in Applications Virtual Laboratory for e-Science Research of the P1 line is carried out within the following subprogrammes: P1 – e-Science in Applications SP1 – Data Intensive Science SP2 – Food Informatics SP3 – Medical Diagnosis & Imaging SP4 – Biodiversity SP5 – Bioinformatics ASP SP6 – The Dutch Telescience Laboratory

6. VL- e e-Science in Applications biodiversity 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

7. 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 Airforce VOFF – Association for Research of Flora & Fauna And co-operation with other programme lines, especially subprogrammes of P2 (generic Virtual Laboratory methodology) CBPG

8. VL- e e-Science in Applications biodiversity EcoGrid Virtual Laboratory for e-Science Biodiversity Two main components: 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)

9. Ecogrid Objectives • Construct a virtualdatabase that is connected to geographically distributed databases which contain information on the distributions of species, on landscapecharacteristics and on weather.

10. Ecogrid Objectives • Construct a virtualdatabase that is connected to geographically distributed databases which contain information on the distributions of species, on landscapecharacteristics and on weather. • Develop generic methodologies and tools for scale conversions, to be able to integrate and interpret data that are observed at different spatial scales.

11. Ecogrid Objectives • Construct a virtualdatabase that is connected to geographically distributed databases which contain information on the distributions of species, on landscapecharacteristics and on weather. • Develop generic methodologies and tools for scale conversions, to be able to integrate and interpret data that are observed at different spatial scales. • Use this infrastructure across the boundaries of organisations to indentify: • - spatial wood web structures • - biodiversity hotspots • - effects of changed land-use • - ...

12. Example: insect diversity and Red-backed Shrikes

13. } Nitrogen dep.

14. Ecogrid - data acquisition Initial Situation { VlinderstichtingFLORONNMVRAVONBLWGVZZ ANNEMOON EIS-NLTinea SOVON VOFF

15. Ecogrid - data acquisition taxonomy observation locality } central VOFF database SOVON NCO databases

16. central databases Data shared by all NCO’s NCO databases NCO-specific data RAVON

17. central databases WEB webpages GIS maps etc. METADATA PERSONS portal login TAXONOMY NCO databases

18. spatial databases • 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.

19. Ecogrid system - overview Spotfire geostatistics data mining modules scale conversion modules science portal data acquisition portal EcoGrid virtual meta database BAMBAS database central databases VOFF landscape model experiments weather processed data VL-eScience Research Environment

20. Ecogrid system - prototype Spotfire geostatistics data mining modules scale conversion modules science portal data acquisition portal EcoGrid virtual meta database BAMBAS database SOVON landscape model experiments weather processed data VL-eScience Research Environment

21. Ecogrid - portal prototype

22. Ecogrid - portal prototype

23. Ecogrid - portal prototype

24. Ecogrid - portal prototype

25. Ecogrid - portal prototype

26. Concluding remarks • 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