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2008
ACM

Finding regional co-location patterns for sets of continuous variables in spatial datasets

11 years 21 days ago
Finding regional co-location patterns for sets of continuous variables in spatial datasets
This paper proposes a novel framework for mining regional colocation patterns with respect to sets of continuous variables in spatial datasets. The goal is to identify regions in which multiple continuous variables with values from the wings of their statistical distribution are co-located. A co-location mining framework is introduced that operates in the continuous domain without the need for discretization and which views regional co-location mining as a clustering problem in which an externally given fitness function has to be maximized. Interestingness of co-location patterns is assessed using products of z-scores of the relevant continuous variables. The proposed framework is evaluated by a domain expert in a case study that analyzes Arsenic contamination in Texas water wells centering on regional co-location patterns. Our approach is able to identify known and unknown regional colocation patterns, and different sets of algorithm parameters lead to the characterization of Arsenic...
Christoph F. Eick, Jean-Philippe Nicot, Rachana Pa
Added 09 Nov 2009
Updated 09 Nov 2009
Type Conference
Year 2008
Where GIS
Authors Christoph F. Eick, Jean-Philippe Nicot, Rachana Parmar, Tomasz F. Stepinski, Wei Ding 0003
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