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KML in Research Competition | Bring your data to life

Welcome to the KML in Research Competition

Thanks for your interest in the 2008 KML in Research contest. The contest is no longer accepting new entries but stay tuned for future opportunities for exploring KML and science.

Student Winners

Darren Achtymichuk, Univ. of Alberta

Title
Grey Box System Identification of Bus Mass

Summary
KML visualization of multiple variables logged on a mass transit bus for the purposes of vehicle optimization

Kerry Ard, Univ. of Michigan

Title
Environmental Toxicity in Wayne County Michigan

Summary:
Visualizing EPA risk screening environmental indicator data combined with distribution modeling over space and time to identify regions of high environmental impact


Professional Winners

Declan De Paor, Old Dominion Univ.

Title
Emergent Models of Earth's Crustal Structure

Summary
A novel use of the time slider feature to expose models of the crust and mantel in the Aleutian Island chain.

Tyler Erickson, Michigan Tech Research Institute

Title
North American Carbon

Summary
Multiple variable modeling of C02 release and uptake data based on measurements from the NOAA Tall Tower Network sites.

Ionut Iordache, UC Berkeley

Title
NCALM LiDAR Data Distribution Center

Summary
Using a KML based data display system to share and download high resolution LiDAR models obtained via aerial surveys.

Bjorn Sandvik, ThematicMapping.Org

Title
Global Infant Mortality 1960-2005

Summary
Visualization of demographic data using KML.  This example is specific to infant mortality statistics which can be explored in space and time.

Aidan Slingsby, City Univ. London

Title
Visualizing Seasonal Climate Forecasts

Summary
Visualizing seasonal precipitation forecasts over a 10 year period for South America, using simple but novel graphics that give an indication of the uncertainty in addition to the forecast.

 

Google is constantly looking for new ways to spur innovation and creativity in science and engineering. We are looking for the best examples of showing your work in Google Earth using KML. And we'll reward the brightest scientists, researchers, and students from all over the world.

Don't know how to use KML? KML is fast and easy. Even better, the tools to help you get started are already available.

What can you do with KML?

  • Instead of static bar charts showing population trends, show a time lapse color coded map that updates every year automatically.
  • Instead of a list of flux vectors and measurement points, show measurements site on a map with an icon, measurement details and links to raw data directly from the map.
  • Multiple datasets can be layered to show correlations and trends over large areas.
  • Environmental data can become an interactive map with resources for air/water quality and links to community organizations in the local area.

Want more? See these examples to get you started:

NASA SinGeo Katrina
Put together by NASA's Jet Propulsion Laboratory in California, this KML shows daily MODIS satellite imagery captured the previous day. SinGeo has put together a very interesting geographical representation of Dengue Fever in Singapore. Through an animation, you can see where and when Dengue Fever has occured. Time lapse animation of Hurricane Katrina satellite imagery overlayed with intensity and tracking information.

Why should you use KML to visualize your work?

  • KML is an standard accepted by the Open Geospatial Consortium
  • Google Earth provides a very powerful user interface that is free to use anywhere in the world
  • Your ideas will appear more engaging and dynamic to a global audience
  • Many applications can read or write to KML alread