Spatial-temporal event prediction: a new model

Author

Liu, Hua ; Brown, Donald E.

Author_Institution

Dept. of Syst. Eng., Virginia Univ., Charlottesville, VA, USA

Volume

3

fYear

1998

fDate

11-14 Oct 1998

Firstpage

2933

Abstract

A new model for predicting the probability of occurrence of spatial-temporal random events is proposed based on the theory of point patterns. The model allows for the incorporation of observed event characteristics or features into space-time prediction. Effective and efficient prediction also involves identifying the key characteristics or features that explain the spatial pattern as a preliminary step. A clustering-based criterion is presented to address the feature subset selection problem

Keywords

decision support systems; geographic information systems; pattern recognition; probability; temporal databases; visual databases; clustering-based criterion; decision support system; feature subset selection problem; geographical information system; point patterns; probability; space-time prediction; spatial pattern; spatial-temporal event prediction model; spatial-temporal random events; Decision support systems; Geographic Information Systems; Information retrieval; Information systems; Layout; Monitoring; Predictive models; Resource management; Spatial databases; Systems engineering and theory;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on

Conference_Location

San Diego, CA

ISSN

1062-922X

Print_ISBN

0-7803-4778-1

Type

conf

DOI

10.1109/ICSMC.1998.725109

Filename

725109