2016 Fiscal Year Final Research Report
Statistical Models of Deforestation in Human Dimension
| Project/Area Number |
26330040
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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 | Hiroshima University of Economics (2015-2016)
Shimane University (2014) |
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Principal Investigator |
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Keywords | 人口との相互作用による森林減少モデル / 空間統計学 / データ駆動型解析 |
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| Outline of Final Research Achievements |
This aided research explored functional forms of man-landcover interrelations. The basic strategy was to use landcover and topological data mashed up with cell-formed population density data.
Two factors -- human population size and relief energy: difference of minimum altitude from the maximum in a sampled area -- were picked up firstly to make elucidation of forest coverage ratio on the same site. The functional forms with sigmoidal shape were suggested by step functions fitted to one-kilometer square high precision grid-cell data in Japan. By calculating relative appropriateness to data, AIC and BIC were applied. The two-type values by step functions -- one by independent model, the other by a model that takes neighbor effect -- indicated baseline fitness indices to examine succeeding suitability of candidate functions. The best model showed best performance in common among test areas of China and Japan.
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| Free Research Field |
環境データ解析
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