A data-mining approach to determine the spatio-temporal relationship between environmental factors and fish distribution
文献类型：SCI/SSCI论文
| 作者 | Su F. Z. ; Zhou C. H. ; Lyne V. ; Du Y. Y. ; Shi W. Z. |
| 发表日期 | 2004 |
| 关键词 | geographical information system(GIS) spatiotemporal assigntnent ecological association rule fish assembling fish distribution dynamics model |
| 英文摘要 | The interaction between environmental factors and the spatiotemporal dynamics of living organism is an important aspect in ecology. We describe here a data-mining approach-the spatiotemporal assignment mining model (STAMM)-to extract the spatiotemporal pattern, or assignment of environmental factors, which control the distribution of a living organism. In STAMM, the spatiotemporal assignment of environmental factors is expressed via neighbourhood rules which will reflect the fuzzy or uncertain prior knowledge about the relationship. The values of cells or points in the neighbourbood and the relationships are used to construct a decision table. Indices expressing the probabilities of the ecological association rules are recursively processed in order to determine the spatiotemporal assignment. These rules are objective assessments of our prior knowledge and they refine our knowledge and understanding of the ecosystem. As a case study, we used this model to study the temperature pattern which controls the assembling of fish in the Dasha area of the Yellow Sea in China. (C) 2003 Elsevier B.V. All tights reserved. |
| 出处 | Ecological Modelling |
| 卷 | 174 |
| 期 | 4 |
| 页 | 421-431 |
| 收录类别 | SCI |
| 语种 | 英语 |
| ISSN号 | 0304-3800 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/23051]  |
| 专题 | 地理科学与资源研究所_历年回溯文献 |
| 推荐引用方式 GB/T 7714 | Su F. Z.,Zhou C. H.,Lyne V.,et al. A data-mining approach to determine the spatio-temporal relationship between environmental factors and fish distribution. 2004. |
入库方式： OAI收割
来源：地理科学与资源研究所
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