TITLE:

Map Cube: A Visualization Approach for Spatial Data Warehouses

PRESENTER:

Shashi Shekhar, Biography , Homepage , Picture ,

AFFILIATION:

Computer Science Department, University of Minnesota.

URL:

http://www.cs.umn.edu/~shekhar

SLIDES:

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:

  1. 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.
  2. 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
  3. 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.
  4. 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.
  5. High Performance Spatial Visualization of Traffic Data, CTS Report, Feb. 2002, S. Shekhar, C.T. Lu, and R. Liu
  6. 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
  7. 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.