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Multi-level method for discovery of regional co-location patterns.
- Source :
- International Journal of Geographical Information Science; Sep2017, Vol. 31 Issue 9, p1846-1870, 25p
- Publication Year :
- 2017
-
Abstract
- Regional co-location patterns represent subsets of feature types that are frequently located together in sub-regions in a study area. These sub-regions are unknown a priori, and instances of these co-location patterns are usually unevenly distributed across a study area. Regional co-location patterns remain challenging to discover. This study developed a multi-level method to identify regional co-location patterns in two steps. First, global co-location patterns were detected, and other non-prevalent co-location patterns were identified as candidates for regional co-location patterns. Second, an adaptive spatial clustering method was applied to detect the sub-regions where regional co-location patterns are prevalent. To improve computational efficiency, an overlap method was developed to deduce the sub-regions of (k + 1)-size co-location patterns from the sub-regions ofk-size co-location patterns. Experiments based on both synthetic and ecological data sets showed that the proposed method is effective in the detection of regional co-location patterns. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 13658816
- Volume :
- 31
- Issue :
- 9
- Database :
- Complementary Index
- Journal :
- International Journal of Geographical Information Science
- Publication Type :
- Academic Journal
- Accession number :
- 123914086
- Full Text :
- https://doi.org/10.1080/13658816.2017.1334890