2011 Fiscal Year Final Research Report
Study on the structure analysis and spatial clustering for spatial data
| Project/Area Number |
21700305
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| Research Category |
Grant-in-Aid for Young Scientists (B)
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| Allocation Type | Single-year Grants |
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| Research Field |
Statistical science
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| Research Institution | Okayama University |
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Principal Investigator |
ISHIOKA Fumio 岡山大学, 大学院・法務研究科, 助教 (20510770)
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| Project Period (FY) |
2009 – 2011
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| Keywords | 空間・環境統計 / エシェロン解析 / ホットスポット |
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| Research Abstract |
Several approaches are used to detect hotspot for various kinds of spatial data. We have proposed a technique using an echelon analysis as the hotspot detection method. The echelon's hotspot detection method enables the detection of spatial clusters having various shapes and significant likelihood ratios, because its searches are based on the essential spatial structure of data. Accordingly, the echelon's hotspot detection method can be applied to extensive spatial data with thousands of regions and detect multi-dimensional or space-time hotspot.
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