| 地学数据集成及空间决策支持的方法与应用 |
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| 引用本文： | 葛咏.地学数据集成及空间决策支持的方法与应用[J].地球信息科学,2006,8(1):16-20. |
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| 作者姓名： | 葛咏 |
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| 作者单位： | 中国科学院地理科学与资源研究所资源与环境信息系统国家重点实验室 北京 100101 |
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| 基金项目： | 中国科学院资助项目;中国科学院前沿创新研究项目;国家重点实验室基金 |
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| 摘 要： | 空间数据分析技术的严重滞后出现了“信息爆炸”的现象。因此,由于地学数据多源性的特点,如何集成量纲不一,形式多样,既有定量数据,又有定性的文字描述,经验性和知识性的地学数据并使之帮助决策成为当前亟待研究的课题之一。本文讨论两个空间数据集成和决策支持方法:模糊证据权重和加权逻辑回归方法。与传统地学数据集成和空间决策支持方法如判别分析和其他多元回归不同之处在于,这两种方法在解释变量是连续和类别变量混合模式的情况下或响应变量取两类值的情况下处理的结果更为合理。
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| 关 键 词： | 空间数据集成 模糊证据权重 加权逻辑回归 空间决策支持 |
| 收稿时间： | 07 29 2005 12:00AM |
| 修稿时间： | 9/9/2005 12:00:00 AM |
GeoData Integration and Spatial Decision Making Based on Fuzzy Weights of Evidence and Weighted Logistic Regression |
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| GE Yong.GeoData Integration and Spatial Decision Making Based on Fuzzy Weights of Evidence and Weighted Logistic Regression[J].Geo-information Science,2006,8(1):16-20. |
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| Authors: | GE Yong |
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| Institution: | State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences &;
Natural Resources Research, CAS, Beijing 100101, China |
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| Abstract: | How to integrate quantitative data, qualitative data, empirical data and knowledge-based data and then make decision is one of the important issues in spatial data analysis. In this paper, two methods for spatial integration and decision making are discussed. One is fuzzy weights of evidence, and the other is weighted logistic regression. Compared with the traditional methods such as discriminate analysis and multivariate regression analysis, these two methods can give more reasonable results when explanatory variables are a mixed mode of continuous and category data. |
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| Keywords: | spatial data integration fuzzy weights of evidence weighted logistic regression spatial decision making |
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