Factor analysis on spatial and regional variation of social capital by the spatial data mining methods
| Project/Area Number |
20780172
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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 |
Irrigation, drainage and rural engineering/Rural planning
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| Research Institution | Kyoto University |
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Principal Investigator |
SAIZEN IZURU Kyoto University, 地球環境学堂, 准教授 (80346098)
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| Project Period (FY) |
2008 – 2010
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| Project Status |
Completed (Fiscal Year 2010)
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| Budget Amount *help |
¥4,160,000 (Direct Cost: ¥3,200,000、Indirect Cost: ¥960,000)
Fiscal Year 2010: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2009: ¥650,000 (Direct Cost: ¥500,000、Indirect Cost: ¥150,000)
Fiscal Year 2008: ¥2,860,000 (Direct Cost: ¥2,200,000、Indirect Cost: ¥660,000)
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| Keywords | ソーシャルキャピタル / 空間データマイニング / 空間分析 / ソーシャル・キャピタル / 主観的健康感 / 空間的自己相関 / 地理情報システム / 経験ベイズモランのI / ジオリファレンス |
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| Research Abstract |
This study aims to clarify the characteristics of spatial distribution of the percentage of the person who have high score of ISCI (Integrated Social Capital Index), which has been propounded as the measurement of Social Capital. We have calculated the percentage (P6) values of 151 settlements based on the database collected by the questionnaire survey in A city, Kyoto prefecture and adjust the undesirable effects caused by bias of the number of samples using Empirical Bayes approach. It has been made clear that the positive spatial auto correlation of P6's spatial distribution is detected by Empirical Bayes Index.
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Report
(4 results)
Research Products
(11 results)
