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What is SPEDDEXES?
Brad Evans
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/
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
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…
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!)
Motivation…
Tree damage maps – estimate coarse woody debris
Tree damage maps – estimate coarse woody debris
Monitoring transects
Monica : Impact on productivity?
GPP MOD17A2 - Seasonal Trend filter
Stats: R-Project STL package
Monica
Steve
Helen
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…
SCIENTISTS
SPEDDEXES = LESS GHG’s
= BETTER, GREENER SCIENCE
Scientists will evolve!
Scientists will evolve!
Scientists will evolve!
Scientists will evolve!
Scientists will evolve!
Scientists will evolve!
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

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Bradley Evans SPEDDEXES 2014

  • 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!)
  • 6.
  • 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
  • 12.
  • 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
  • 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