| Du Yunyan,Zhou Chenghu,Su Fenzhen,Liu Baoyin,Shao Quanqin.Extracting spatial patterns of ocean fishery using GIS and RS——Taking the East China Sea as an example[J].Acta Oceanologica Sinica,2003,(1):25-34 |
| Extracting spatial patterns of ocean fishery using GIS and RS——Taking the East China Sea as an example |
| Extracting spatial patterns of ocean fishery using GIS and RS——Taking the East China Sea as an example |
| 投稿时间：2002-08-26 修订日期：2002-12-28 |
| DOI： |
| 中文关键词: GIS remote sensing ocean fishery spatial cluster |
| 英文关键词:GIS remote sensing ocean fishery spatial cluster |
| 基金项目:This research was partially supported by the National Hi-technology Program of China under contract No.2001AA633010,No.2001AA639080 and No.2002AA639460. |
| 作者 | 单位 | | Du Yunyan | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China | | Zhou Chenghu | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China | | Su Fenzhen | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China | | Liu Baoyin | First Institute of Oceanography, State Oceanic Administration, Qingdao 266061, China | | Shao Quanqin | Institute of Geography Science and Resource Research, Chinese Academy of Sciences, Beijing 100101, China |
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| 中文摘要: |
| The ocean fishery and the corresponding environment are highly interrelated according tothe production experiences of ocean fishing population.The spatial cluster patterns are constructed using the remote sensed data and long-time series fishery production data under the uniform coordinate based on GIS techniques.Thus,the hidden information of distribution regularities between ocean-hydrologic factors and central fishing ground can be extracted from these patterns.It is important to forecast the ocean fishery production. |
| 英文摘要: |
| The ocean fishery and the corresponding environment are highly interrelated according tothe production experiences of ocean fishing population.The spatial cluster patterns are constructed using the remote sensed data and long-time series fishery production data under the uniform coordinate based on GIS techniques.Thus,the hidden information of distribution regularities between ocean-hydrologic factors and central fishing ground can be extracted from these patterns.It is important to forecast the ocean fishery production. |
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