摘要
海水表面温度(SST)与渔业资源有着密切的关系,对SST的时空分布和变化的研究,是海洋渔业研究的基本内容之一。本文首先对SST数据在空间和时间上的变异分析方法进行了探讨,提出了SST时空相关阵的构建思想和方法,并在北太八年SST数据的基础上构建了以渔区为单位的时空相关阵,对该阵进行了空间插值检验,结果证明该方法的插值精度较高。
Since sea surface temperature (SST) has more relations with marine fishery resources, so the study on spatiotemporal distribution and variation of SST is one of basic contents of marine fishery research. Firstly, this paper discusses the method of computing spatial variational distance, and then gives an idea of building correlative distance matrix. Based on this idea and the SST data collected from Beitai Squid Fishery for 8 years, we have built the correlative matrix. The test of SST interpolation has proved that the matrix is effective for spatial interpolation.
出处
《山东科技大学学报（自然科学版）》
CAS
2004年第2期26-29,共4页
Journal of Shandong University of Science and Technology(Natural Science)
基金
国家海洋"863"课题 (81 8 1 1 0 3 )
关键词
空间统计
空间相关
空间变异
海水表面温度(SST)
相关矩阵
spatial statistics
spatial correlation
spatiotemporal variation
sea surface temperature(SST)
correlation matrix
