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The tool enables uploading, parsing, querying, and downloading of KML files for geographical information sharing. Users can convert KML into a relational database, facilitating easy access and interaction with technical datasets. This web-based system streamlines collaboration and learning in organizations.
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Geographic Information Sharing Tool [GIST] Harvard Provost Innovation Grant Lex Berman & Bill Hays 15 Nov 2006
The threshold point of the learning curve is typically around the two year time frame. - J. K. Berry (Berry & Assoc) GIS Learning Curve ~ 2 years
Google Earth's intuitive interface allows everyone in the organization to interact meaningfully with technical datasets without any expensive, time-consuming formal training.- USGS Google Earth Learning Curve ~ 2 hours
KML KML KML KML from student 1 KML from student 2 KML from student 3 upload KML files to server or parse KML into database Geographic Information Sharing w/ Google Earth
User submitted filenames might conflict, database can assign each submission a unique ID Once in the database the features, filenames, user names, & course names can be queried or sorted Query results can be recompiled into KML on-the-fly Entire Submission / Query process can be web-based and accessible by all participants Why Parse the KML into Relational Database?
Save original KML file Parse KML contents into Relational Database Acknowledge KML submission showing points on map Convert each KML file into GML Uploading KML
Download each KML file as it was submitted Download all KML submitted by each user Download all KML submitted for each course Download KML files based on query results Downloading KML
KML A from student 1 KML B from student 1 KML A from student 2 KML A from student 3 All KML from student 1 All KML from student 2 All KML from student 3 KML based on query Geographic Information Sharing Tool
Geographic Information Sharing Tool [GIST] http://gist.fas.harvard.edu