Overview: What is SPEDDEXES?

1. What is SPEDDEXES?
Brad Evans

2. Housekeeping
Who is a registered NCI user?
http://nci.org.au/access/user-
registration/register-new-user/
http://nci.org.au/access/user-
registration/connect-to-existing-project/

3. SPatially Explicit Data
Discovery, EXtraction and Evaluation
Service
SPATIALLY and temporally EXPLICIT research data
infrastructure to interrogate data streams on the National
Computing Infrastructure
DATA DISCOVERY for TERN or any datasets which can be read
by the platform
EXTRACTION AND EVALUATION drives advances in ecosystem
science, impact assessment and land management

4. Technology?
• It’s a TOOL, a software API
• Runs in the cloud
• Open source, community owned
• Connects to OpenDAP, AGDC, AODAAC, ERDDAP
? Whatever we connect it too!
• Provides a common API for multiple data streams
• Serves “Extractions” or “Summaries” of data
• Spatially and temporally explicit queries
• Data discoverers via map servers
• HPC users (i.e. modellers & scientists)
Conceptually…

5. Example
You are an ecosystem scientist, unashamedly
multi-disciplinary, and you have a research
question.
What is the impact of a tropical cyclone on a
regions carbon cycle?
You need to spatially and temporally analyze
several datasets (in this real-life example the
entire AusCover MODIS archive!)

7. Motivation…

8. Tree damage maps – estimate coarse woody debris

9. Tree damage maps – estimate coarse woody debris
Monitoring transects

10. Monica : Impact on productivity?
GPP MOD17A2 - Seasonal Trend filter
Stats: R-Project STL package

11. Monica
Steve
Helen

13. That’s nothing new!
• But without the SPEDDEXES API, you would:
• Run on your desktop (most likely)
• Possibly not share the code
• Highly likely you WOULD NOT write your code to
connect to n servers or API’s
• You would have to write a script/ tool for each server!
• Possibly not share the code
• Possibly explore less data – OR WORSE!
• NOT use spatially explicit queries or analysis
• OR Download EVERYTHING first, then analyze 5% of it !
• Clog up the HPC with 95% unused data for YEARS
• until you publish your results and share the code
• Who cares?
Somewhat correct…

14. SCIENTISTS
SPEDDEXES = LESS GHG’s
= BETTER, GREENER SCIENCE

15. Scientists will evolve!

16. Scientists will evolve!

17. Scientists will evolve!

18. Scientists will evolve!

19. Scientists will evolve!

20. Scientists will evolve!

21. Agenda
• Today
• Listen to the experts
• Form our community vision on how to make it
• Tuesday, Wednesday, Thursday
• Discuss, hack, review, test & commit
• Enjoy each others company
• Friday
• Publish
• Agree on our next steps
• As a community
• Go home
Contemplate, discuss, hack, publish, go home