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Efficient generation of area thematic maps in KML

Published: 05 November 2008 Publication History

Abstract

Thematic maps using KML and KMZ are common for point and line features, but scarce for area features. We present a method and website for generation of the thematic map KMLs based on US Census geography. By taking advantage of various preprocessing and indexing methods, thematic maps viewable in any KML compliant viewer (eg, Google Maps, Google Earth, or ArcGIS Explorer) can be generated very quickly. Our implementation covers counties, census tracts, and zip code tabulation areas for the entire United States and its territories and 31 socio-demographic variables.

References

[1]
Google, 2008. KML Documentation. http://code.google.com/apis/kml/documentation/. http://doi.acm.org/10.1145/161468.161471.
[2]
Ralston, Bruce A., 2004. GIS and Public Data. Delmar Press, Clifton Park, NY.
[3]
United States Census Bureau, 2007. TIGER Line Files, Technical Documentation, 2006 Second Edition. Available at http://www.census.gov/geo/www/tiger/tiger2006se/TGR06SE.pdf.

Cited By

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  • (2011)Developing rich web GIS applications for visual analyticsProceedings of the 2011 international conference on Web-Age Information Management10.1007/978-3-642-28635-3_4(40-50)Online publication date: 14-Sep-2011
  • (2010)Tool for Collecting Spatial Data with Google Maps APIU- and E-Service, Science and Technology10.1007/978-3-642-17644-9_12(107-113)Online publication date: 2010

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  1. Efficient generation of area thematic maps in KML

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    cover image ACM Conferences
    GIS '08: Proceedings of the 16th ACM SIGSPATIAL international conference on Advances in geographic information systems
    November 2008
    559 pages
    ISBN:9781605583235
    DOI:10.1145/1463434
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 November 2008

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    Author Tags

    1. Google earth
    2. Google maps
    3. KML
    4. KMZ
    5. SQL
    6. TIGER
    7. United States census
    8. mashups

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    Cited By

    View all
    • (2011)Developing rich web GIS applications for visual analyticsProceedings of the 2011 international conference on Web-Age Information Management10.1007/978-3-642-28635-3_4(40-50)Online publication date: 14-Sep-2011
    • (2010)Tool for Collecting Spatial Data with Google Maps APIU- and E-Service, Science and Technology10.1007/978-3-642-17644-9_12(107-113)Online publication date: 2010

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