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Using Google Maps and other OpenSource GIS software for displaying geospatial data. Jon Blower, Dan Bretherton, Keith Haines, Chunlei Liu, Adit Santokhee Reading e-Science Centre Environmental Systems Science Centre University of Reading. - PowerPoint PPT Presentation
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Using Google Maps and other OpenSource GIS software for
displaying geospatial data
Jon Blower, Dan Bretherton, Keith Haines, Chunlei Liu, Adit Santokhee
Reading e-Science CentreEnvironmental Systems Science Centre
University of Reading
Exploring environmental data with Google Maps and Google Earth
• “Godiva2” website provides very quick visualisations of numerical model and satellite data
• Scientists use an interactive website to select dataset to visualise on a draggable, zoomable map
– can view data at large range of scales• Can then view same data in Google
Earth– 3-D globe– Lightweight, easy to use GIS tool– Can visualise alongside other
datasets• Don’t have to download any data!• Images generated dynamically on the
server• Spin-off from GODIVA project
Architecture
DATA WMS
Webserver
HTML,Javascript
Web server and WMScould be co-located
WMS = OGC-compliantWeb Map Service
metadata(XML)
images(PNG)
DATA WMS
Could useimages frommany otherWMSs
Open standards and open source• Godiva2 website gets its images from a standards-compliant
Web Map Server– (or at least it will do soon…)
• We built a WMS for dynamically generating images from NetCDF data– takes ~0.3 seconds to generate an image– are working on an intelligent cache for greater efficiency
• Means that third-party GIS software can get images from our WMS
• And we can display images from other WMSs• Are considering switching from Google Maps to OpenLayers
– Open Source equivalent, no licensing or API issues– Better support for WMS
The intention / the future• Project generates CF-compliant NetCDF• Run a Web Map Server out of the box
– i.e. the Godiva2 server
• Visualise the data instantly on Godiva2 website and Google Earth– Alongside other datasets from third parties e.g. satellite images
• Need to handle vectors for currents!!!• Would be nice to visualise derived fields
– Temporal and spatial averages– Can we generate the images fast enough on the server?
• Also visualise on other WMS-compliant tools– NASA WorldWind– Cadcorp SIS