Spatio-temporal modeling and its application for bioresource assessment and environmental risk assessment
| Project/Area Number |
23500356
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Statistical science
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| Research Institution | Keio University |
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Principal Investigator |
MINAMI Mihoko 慶應義塾大学, 理工学部, 教授 (70277268)
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| Co-Investigator(Kenkyū-buntansha) |
SEI Tomonari 慶應義塾大学, 大学院・理工学研究科, 講師 (20401242)
SHIBATA Ritei 慶應義塾大学, 大学院・理工学研究科, 教授 (60089828)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥4,810,000 (Direct Cost: ¥3,700,000、Indirect Cost: ¥1,110,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
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| Keywords | 生物資源評価 / 環境リスク評価 / 時空間モデリング / ２重周期平滑法 / 回帰樹 / 関数データ解析 / 国際研究者交流 / 国際情報交流 / アメリカ / アメリカ合衆国：ノルウェー：オーストラリア：英国 / 国際研究者交流 アメリカ合衆国 / 国際情報交流 アメリカ合衆国 |
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| Research Abstract |
For proper assessment of living marine resources and environmental risk, it is important to develop the statistical models with the mechanisms that capture spatio-temporal patterns and characteristics in the data. We did the research on 1) defining population spatial units based on frequency distributions of animals' characteristic features and temporal trends of abundance, 2) statistical methods for zero-inflated count data such as bycatch counts, 3) statistical methods to analyze the data with doubly cyclic tempral patterns and analysis of CO2 data observed at Syowa station in Antarctica.
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Report
(4 results)
Research Products
(27 results)
