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TITLE:
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Map Cube: A Visualization Approach for Spatial Data Warehouses
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PRESENTER:
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Shashi Shekhar
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AFFILIATION:
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Computer Science Department, University of Minnesota.
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URL:
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http://www.cs.umn.edu/~shekhar
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ABSTRACT:
The importance of spatial data warehouses is growing with
the increasing incidence and importance of large geo-spatial datasets such as
census, and remote-sensing images.
Applications include commerce (location-based services),
climatology (effects of El Nino, global change),
public health (analyzing the spread of disease),
public safety (finding crime hot spots), transportation
(detecting local instability in traffic), etc.
Conventional datawarehouse results are often display as summary tables
or spreadsheets. This is inadequate for spatial datawarehouses,
which prefer map based visualization. Mapcube system provides the
framework for creating an album of maps to visualize a hiearchichy of
aggregation reports on spatial datawarehouses.
This talk not only explains the concept of mapcube but also
describes the experiences with mapcube in visualizing spatial datawarehouses
from transportation, weather and global carbon cycle.
More details are available from
this link .
KEYWORDS:
Cube, Mapcube, Spatial data warehouses.
NOTE:
Some of the results discussed in this talk appeared in the following publications:
- Spatial Databases: A Tour (Chapter 8), (S. Shekhar and S. Chawla),
Prentice Hall 2003, ISBN 0-13-017480-7.
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Map Cube: A Visualization Tool for Spatial Data Warehouses, as Chapter of Geographic Data
Mining and Knowledge Discovery. Harvey J. Miller and Jiawei Han (eds.), Taylor and Francis,
2001, ISBN 0-415-23369-0, S. Shekhar, C.T. Lu, X. Tan, S. Chawla, and R. Vatsavai
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CubeView: A System for Traffic Data Visualization, Proceedings of the Fifth IEEE
International Conference on Intelligent Transportation Systems, 2002, S. Shekhar, C.T. Lu,
R. Liu, and C. Zhou
ACKNOWLEDGEMENT:
This work was partially supported by Army High Performance
Computing Research Center contract number DAAD19-01-2-0014. The content of this work does
not necessarily reflect the position or policy of the government and no official
endorsement should be inferred.