A scale-sensitive approach for comparing and classifying point patterns
Article
Sadahiro, Yukio and Liu, Yan. 2020. "A scale-sensitive approach for comparing and classifying point patterns." Journal of Spatial Science. 65 (2), pp. 281-306. https://doi.org/10.1080/14498596.2018.1492466
| Article Title | A scale-sensitive approach for comparing and classifying point patterns |
|---|---|
| ERA Journal ID | 4627 |
| Article Category | Article |
| Authors | Sadahiro, Yukio and Liu, Yan |
| Journal Title | Journal of Spatial Science |
| Journal Citation | 65 (2), pp. 281-306 |
| Number of Pages | 26 |
| Year | 03 May 2020 |
| Place of Publication | Singapore |
| ISSN | 0005-0326 |
| 0069-0805 | |
| 1324-9983 | |
| 1449-8596 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1080/14498596.2018.1492466 |
| Web Address (URL) | https://www.tandfonline.com/doi/full/10.1080/14498596.2018.1492466 |
| Abstract | This paper proposes a novel method for comparing and classifying point patterns. The method explicitly considers the spatial scale since the evaluation of similarity depends on the scale at which one compares point patterns. Three functions were proposed, each of which represents the similarity between point patterns. A single measure was introduced to summarize the overall similarity between patterns. This single measure was used to classify point patterns into groups according to their spatial patterns. The validity of the method was tested through numerical experiments as well as the analysis of travel transaction data in Southeast Queensland, Australia. |
| Keywords | Comparison and classification; spatial scale; similarity; kernel smoothing; point patterns |
| Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
| Byline Affiliations | University of Tokyo, Japan |
| University of Queensland | |
| Library Services |
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