| 地学关联规则与时空推理的渔业分析应用 |
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| 引用本文： | 苏奋振,杜云艳,杨晓梅,刘宝银.地学关联规则与时空推理的渔业分析应用[J].地球信息科学,2004,6(4):66-70. |
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| 作者姓名： | 苏奋振 杜云艳 杨晓梅 刘宝银 |
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| 作者单位： | 1. 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海洋GIS中心, 北京 100101;
2. 国家海洋局第一海洋研究所, 青岛 266061 |
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| 基金项目： | 国家863-818项目“大洋金枪鱼渔场渔情快速预报技术”(编号:2003AA637030)，青年基金项目“基于栅格的海洋现象结构特征提取方法与应用”(编号:2002AA639400)。 |
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| 摘 要： | 在阐述地学关联规则背景的同时,对地学关联规则作了分类:即空间特征规则、空间区别规则、空间关联规则和时空关联规则。并给出了时空关联规则的数学定义,分析了各指标的意义和对规则提取的影响。进一步对地学关联规则所处理的数据抽象层次、地学数据维数、变量类别和空间配置四方面,进行了剖析和分类。基于规则中数据的抽象层次,将其分为单层关联规则和跨层关联规则;基于规则中涉及到的地学数据维数,将其分为单维关联规则和多维关联规则;基于规则中处理变量的类别,将其分为布尔型和数值型;基于空间配置,将其分为局部关联规则和邻域关联规则。最后,结合海洋渔业的实例,论述了关联规则在时空推理过程中的步骤和方法。
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| 关 键 词： | 地理信息系统(GIS) 地学关联规则 分类 海洋地理信息系统(MGIS) |
| 收稿时间： | 2003-10-18; |
| 修稿时间： | 2003年10月18 |
Geo-association Rule with Spatiotemporal Reasoning |
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| SU Fenzhen,DU Yunyan,YANG Xiaomei,LIU Baoyin.Geo-association Rule with Spatiotemporal Reasoning[J].Geo-information Science,2004,6(4):66-70. |
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| Authors: | SU Fenzhen DU Yunyan YANG Xiaomei LIU Baoyin |
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| Institution: | 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101,China;
2. First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China |
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| Abstract: | Mining the association rule from the database appeared the first in the commercial field. In the mid 1990’s, the geo-association rule was promoted. Geo-association means that the spatiotemporal relationship between the geographic events, which can be used to reasoning one spatiotemporal geographic event or event combination from another event or event combination. Based on the review for the research background and development of geo-association rule, the geo-association rule can be categorized by its complexity as spatial characteristic rule, spatial discriminate rule, spatial association rule and spatiotemporal association rule. With the definition of spatiotemporal rule by mathematic language, the effect of the different indices on the rule mining is analyzed. Furthermore, the presentation analyses the data processed in the rule mining with the level of generalization, the data dimension, the variable type and spatial topologic relationship respectively. The geo-association rule can be categorized as single level rule or inter-level rule by the level of generalization, as one-dimension or multi-dimension rule by data dimension, as boolean or numeric rule by the variable type, as local or focal rule by the topologic relationship. Finally, the presentation describes the flow to forecast the fishing ground using the geo-association rule. |
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| Keywords: | geographic information system geo-association rule category marine geographic information system |
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