SLIDES:
- Summary: ppt
- Traffic database querying and visualization:
ppt
- Technical details:
pdf
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 8.2 on Spatial Datawarehouses
and Mapcube
( ppt slides ,
S. Shekhar and S. Chawla,
Prentice Hall 2003, ISBN 0-13-017480-7.
-
Map Cube: A Visualization Tool for Spatial Data Warehouses,
a chapter in 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
-
CubeView: A System for Traffic Data Visualization
(
citeseer
,
ieeexplore
),
Proceedings of the Fifth IEEE International Conference on
Intelligent Transportation Systems, 2002, S. Shekhar, C.T. Lu,
R. Liu, and C. Zhou.
-
Data Mining for Selective Visualization of Large Spatial Datasets,
in the Proceedings
of 14th IEEE International Conference on Tools with Artificial Intelligence (ICTAI
'02), Nov. 2002, S. Shekhar, C.T. Lu, P. Zhang, and R. Liu.
-
High Performance Spatial Visualization of Traffic Data,
CTS Report, Feb. 2002, S.
Shekhar, C.T. Lu, and R. Liu
-
Graph-based Outlier Detection : Algorithms and Applications (A Summary of Results),
in
the Proceedings of the Seventh ACM SIGKDD Int'l Conference on Knowledge Discovery and
Data Mining (KDD 2001), Aug. 2001, S. Shekhar, C.T. Lu, and P. Zhang
-
Data Mining and Visualization of Twin-Cities Traffic Data, Dept. of Computer Science
Technical Report TR 01-015, U. of Minnesota, 2001, S. Shekhar, C.T. Lu, S. Chawla, and
P. Zhang
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.