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A Self-Adjusting Approach to Identify Hotspots
http://hdl.handle.net/2297/47859
http://hdl.handle.net/2297/47859c7a4e996-1f14-4792-8ac5-793c51fb0743
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
IRSPSD-5-2_104-112.pdf (308.1 kB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||
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| 公開日 | 2017-10-05 | |||||
| タイトル | ||||||
| タイトル | A Self-Adjusting Approach to Identify Hotspots | |||||
| 言語 | ||||||
| 言語 | eng | |||||
| 資源タイプ | ||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
| 資源タイプ | journal article | |||||
| 著者 |
Haoying, Han
× Haoying, Han× Xianfan, Shu |
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| 書誌情報 |
International Review for Spatial Planning and Sustainable Development 巻 5, 号 2, p. 104-112, 発行日 2017-04-15 |
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| ISSN | ||||||
| 収録物識別子タイプ | ISSN | |||||
| 収録物識別子 | 2187-3666 | |||||
| DOI | ||||||
| 関連タイプ | isIdenticalTo | |||||
| 識別子タイプ | DOI | |||||
| 関連識別子 | 10.14246/irspsd.5.2_104 | |||||
| 出版者 | ||||||
| 出版者 | SPSD Press | |||||
| 抄録 | ||||||
| 内容記述タイプ | Abstract | |||||
| 内容記述 | Hotspot identification or detection has been widely used in many fields; however the traditional grid-based approaches may incur some problems when dealing with point database. This article expands on three types of mismatch problems in grid-based approach and suggests a point-based approach may be more suitable. Inspired by the DBSCAN algorithm, a self-adjusting approach is then proposed for hotspot detection which overcomes the weakness of parameter sensitivity shared by most clustering approaches. Finally, the data of commercial points of interest of a city is used for demonstration. | |||||
| 権利 | ||||||
| 権利情報 | SPSD Press | |||||
| 著者版フラグ | ||||||
| 出版タイプ | VoR | |||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
