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Interactive visualization of four-dimensional environmental data using an enhanced Web Map Service Jon Blower, Reading e-Science Centre, Environmental Systems Science Centre, University of Reading [email_address] http://www. reading.ac.uk/godiva2
Issues we will cover ,[object Object],[object Object],[object Object],[object Object],[object Object]
We need to see into the future All require interdisciplinary science! Flood prediction Search and rescue Climate prediction
How can we make useful predictions? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
The importance of visualization  ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Existing scientific visualization software ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Barriers to effective visualization ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Summary so far ,[object Object],[object Object],[object Object],[object Object]
Open Geospatial Web Services (plus many more!) Web Coverage Service Gridded data (rasters) Web  Map Service Map imagery (PNG, JPG, GIF) Web Feature Service Simple features Complex features
Web Map Service: a closer look ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Lightweight visualization methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],NASA World Wind OpenLayers Google Earth Microsoft Virtual Earth
Limitations of WMS for science ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
A new system: Godiva2 ,[object Object],[object Object],[object Object],[object Object],[object Object],http://www.reading.ac.uk/godiva2
Selection of depth Select from all the depth levels of the model
Selection of time (range) Select from all the timesteps in the model Selection of a time range leads to an  animation
Finding the data value at a point Click on the data layer, data value and precise position is shown Lon:  -64.08  Lat:  36.21  Value:  19.27
Timeseries plots If a time range is selected, can create a timeseries plot at a point
Vector plots
Selection of colour palette
Contrast-stretching ,[object Object]
Polar projections
Choice of background images
Export to Google Earth ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Architecture of Godiva2 system Java Web Application (Spring, JSP) Data abstraction layer NetCDF files Other files GetCapabilities GetMap GetFeatureInfo Custom metadata Godiva2 website JSON PNG, GIF Generic WMS client XML Remote data OPeNDAP PNG, GIF
Visualizing distributed data: the MERSEA project OPeNDAP DATA North Atlantic data centre OPeNDAP DATA OPeNDAP DATA WMS @ Reading Dynamic Quick View website (= rebranded Godiva2) Uses existing OPeNDAP-based architecture Single point of failure http://www.resc.rdg.ac.uk/mersea Baltic data centre Arctic data centre Background imagery (from NASA etc)
Removing the bottleneck: Federated visualization OPeNDAP DATA WMS OPeNDAP DATA WMS OPeNDAP DATA WMS Each data centre must install the WMS Less network traffic More robust Third-party WMS Background imagery (from NASA etc)
What is the best use for this? Have an idea Discuss/explore Do the work Formally publish Godiva2 Matlab, IDL etc Disseminate Godiva2
Who’s using Godiva2? ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Enhancements to WMS ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interoperability 3rd-party clients can’t use the custom WMS extensions NASA World Wind Cadcorp SIS Google Earth
Godiva2 summary ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Elephants I have ignored: The three “S”s ,[object Object],[object Object],[object Object]
Conclusions…
Why is it hard to reconcile scientific data and open GIS standards? Data volumes often too large for XML XML is primary exchange mechanism Weird and wonderful coordinate systems (spatial and temporal) Well-known, stable coordinate systems Fully four-dimensional data Map-oriented, i.e. 2.5D ( although things are changing, slowly ) Geographic location is an attribute of data Everything is an attribute of a geographic location Science GIS
Future work ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
More research needed… ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Some final thoughts ,[object Object],[object Object],[object Object],[object Object],[object Object]

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Godiva2 Overview

  • 1. Interactive visualization of four-dimensional environmental data using an enhanced Web Map Service Jon Blower, Reading e-Science Centre, Environmental Systems Science Centre, University of Reading [email_address] http://www. reading.ac.uk/godiva2
  • 2.
  • 3. We need to see into the future All require interdisciplinary science! Flood prediction Search and rescue Climate prediction
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9. Open Geospatial Web Services (plus many more!) Web Coverage Service Gridded data (rasters) Web Map Service Map imagery (PNG, JPG, GIF) Web Feature Service Simple features Complex features
  • 10.
  • 11.
  • 12.
  • 13.
  • 14. Selection of depth Select from all the depth levels of the model
  • 15. Selection of time (range) Select from all the timesteps in the model Selection of a time range leads to an animation
  • 16. Finding the data value at a point Click on the data layer, data value and precise position is shown Lon: -64.08 Lat: 36.21 Value: 19.27
  • 17. Timeseries plots If a time range is selected, can create a timeseries plot at a point
  • 20.
  • 23.
  • 24. Architecture of Godiva2 system Java Web Application (Spring, JSP) Data abstraction layer NetCDF files Other files GetCapabilities GetMap GetFeatureInfo Custom metadata Godiva2 website JSON PNG, GIF Generic WMS client XML Remote data OPeNDAP PNG, GIF
  • 25. Visualizing distributed data: the MERSEA project OPeNDAP DATA North Atlantic data centre OPeNDAP DATA OPeNDAP DATA WMS @ Reading Dynamic Quick View website (= rebranded Godiva2) Uses existing OPeNDAP-based architecture Single point of failure http://www.resc.rdg.ac.uk/mersea Baltic data centre Arctic data centre Background imagery (from NASA etc)
  • 26. Removing the bottleneck: Federated visualization OPeNDAP DATA WMS OPeNDAP DATA WMS OPeNDAP DATA WMS Each data centre must install the WMS Less network traffic More robust Third-party WMS Background imagery (from NASA etc)
  • 27. What is the best use for this? Have an idea Discuss/explore Do the work Formally publish Godiva2 Matlab, IDL etc Disseminate Godiva2
  • 28.
  • 29.
  • 30. Interoperability 3rd-party clients can’t use the custom WMS extensions NASA World Wind Cadcorp SIS Google Earth
  • 31.
  • 32.
  • 34. Why is it hard to reconcile scientific data and open GIS standards? Data volumes often too large for XML XML is primary exchange mechanism Weird and wonderful coordinate systems (spatial and temporal) Well-known, stable coordinate systems Fully four-dimensional data Map-oriented, i.e. 2.5D ( although things are changing, slowly ) Geographic location is an attribute of data Everything is an attribute of a geographic location Science GIS
  • 35.
  • 36.
  • 37.

Notes de l'éditeur

  1. Need lots of different types of data
  2. WS can bring in data and provide analysis functions, extending capabilities of VGsOGC has >240 members including major industry players, research groups etc