Title
Representing scientific data sets in KML: Methods and challenges
Abstract
Virtual Globes such as Google Earth and NASA World Wind permit users to explore rich imagery and the topography of the Earth. While other online services such as map servers provide ways to view, query, and download geographic information, the public has become captivated with the ability to view the Earth's features virtually. The National Snow and Ice Data Center began to display scientific data on Virtual Globes in 2006. The work continues to evolve with the production of high-quality Keyhole Markup Language (KML) representations of scientific data and an assortment of technical experiments. KML files are interoperable with many Virtual Globe or mapping software packages. This paper discusses the science benefits of Virtual Globes, summarizes KML creation methods, and introduces a guide for selecting tools and methods for authoring KML for use with scientific data sets.
Year
DOI
Venue
2011
10.1016/j.cageo.2010.05.004
Computers & Geosciences
Keywords
Field
DocType
nasa world wind permit,google earth,summarizes kml creation method,ice data center,scientific data set,authoring kml,virtual globe,scientific data,virtual globes,kml file,cryosphere,science education,national snow and ice data center,markup language
Globe,Data mining,World Wide Web,Data processing,Interoperability,Computer science,Server,Download,Software,Keyhole Markup Language,National Snow and Ice Data Center,Database
Journal
Volume
Issue
ISSN
37
1
Computers and Geosciences
Citations 
PageRank 
References 
24
2.22
2
Authors
7
Name
Order
Citations
PageRank
Lisa M. Ballagh1242.22
B. H. Raup2669.44
Ruth E. Duerr39112.97
Siri Jodha Singh Khalsa4428.59
Christopher Helm5313.79
Doug Fowler6242.22
Amruta Gupte7242.22