Using Google Maps and other OpenSource GIS software for displaying geospatial data
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Transcript of Using Google Maps and other OpenSource GIS software for displaying geospatial data
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