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Timeseries extraction, visualisation and
exploration
TasMAN, Sense-T, SensorCloud
CCI
Chris Sharman | Research Team Leader...
Introduction
• CCI= CSIRO Computational Informatics
• Sensor Networks / Gridded Model projects:
• Tasmanian Marine Analysi...
TasMAN Project
• Use case: Web-based sensor/model data exploration,
visualisation.
• Requirements
• Easy for Web Clients
•...
TasMAN – Approach
• Sensor Network timeseries -> bespoke web service (see later)
• Model data -> patched ncWMS
• GetFeatur...
TasMAN – Web Client
• OpenLayers (WMS)
• Spatio-Temporal explorer
• Dataset browser (Simile
Timeline, ncWMS API)
• Time se...
Sense-T and SensorCloud
• Infrastructure for Sense-T research projects
• Point-based timeseries
• Real-time ingestion netw...
Data Exchange vs Web Visualisation, Exploration.
• SensorCloud API
• RESTful API
• StarFL meta-data model (OGC Discuss. Pa...
Presentation title | Presenter name8 |
CCI / Autonomous Systems
Chris Sharman
Research Team Leader
t +61 03 6232 5515
e chris.sharman@csiro.au
w www.csiro.au
CCI...
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Chris Sharman-SPEDDEXES 2014

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Time series data extraction from NetCDF in TasMaN project

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Transcript of "Chris Sharman-SPEDDEXES 2014"

  1. 1. Timeseries extraction, visualisation and exploration TasMAN, Sense-T, SensorCloud CCI Chris Sharman | Research Team Leader 17th March 2014
  2. 2. Introduction • CCI= CSIRO Computational Informatics • Sensor Networks / Gridded Model projects: • Tasmanian Marine Analysis Network (TasMAN) • SouthEsk Hydrological Sensor Network • Sense-T (www.sense-t.org.au) • Cross domain sensor networks: • Coastal/Marine • Hydrological • Agriculture • Aquaculture Timeseries Servcies | Chris Sharman2 |
  3. 3. TasMAN Project • Use case: Web-based sensor/model data exploration, visualisation. • Requirements • Easy for Web Clients • Low-latency, web-time • Linked to WMS • Data • Sparse near real-time low-cost marine sensor nodes • CSIRO SHOC model netCDF curvilinear output – non-uniform grid Timeseries Services | Chris Sharman3 |
  4. 4. TasMAN – Approach • Sensor Network timeseries -> bespoke web service (see later) • Model data -> patched ncWMS • GetFeatureInfo request with JSON encoding (not standardised) • Support for vector styles on rotated cell curvilinear grids Timeseries Services | Chris Sharman4 | { longitude: 147.39339269881506, latitude: -42.95279095077819, featureInfo: [ { layerName: "setas_surf_nrt.temp", iIndex: 101, jIndex: 66, elevation: -0.5, gridCentreLon: 147.39511108398438, gridCentreLat: -42.9555549621582, featureInfo: {2012-04-11T20:00:00.000Z: "15.368134", 2012-04-11T21:00:00.000Z: "15.308427", 2012-04-11T22:00:00.000Z: "15.210996", 2012-04-11T23:00:00.000Z: "15.168934", 2012-04-12T00:00:00.000Z: "15.173564",...
  5. 5. TasMAN – Web Client • OpenLayers (WMS) • Spatio-Temporal explorer • Dataset browser (Simile Timeline, ncWMS API) • Time series chart • Bespoke HTML/JS/Canvas implementation – Animated, interactive – Multiple heterogeneous timeseries – Dynamic data loading – GetFeatureInfo requests Timeseries Services | Chris Sharman5 |
  6. 6. Sense-T and SensorCloud • Infrastructure for Sense-T research projects • Point-based timeseries • Real-time ingestion network • Sensor Messaging Gateway • Annotation Service • SensorCloud API • THREDDS for Gridded data Presentation title | Presenter name6 |
  7. 7. Data Exchange vs Web Visualisation, Exploration. • SensorCloud API • RESTful API • StarFL meta-data model (OGC Discuss. Paper) • Focus on simplicity and performance • Low barrier to entry for developers • Flexible Aggregation • OGC SOS • Designed for data exchange • Strong governance • Slow moving • High Barrier to entry Timeseries Services | Chris Sharman7 |
  8. 8. Presentation title | Presenter name8 |
  9. 9. CCI / Autonomous Systems Chris Sharman Research Team Leader t +61 03 6232 5515 e chris.sharman@csiro.au w www.csiro.au CCI Thank you – Questions?
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