摘要
提出了一个数据调整的方法来弥补通常空间聚类检测的不足,从而能够对高值聚类进行精确检测。利用Matlab软件将该方法在模拟的空间类型中应用于Moran'I检测。结果表明,当有高值聚类趋势时,经该方法调整数据后利用Moran'I可以显著地检测出高值聚类的存在。
This paper provides an adjustment procedure that can supplement common spatial clustering tests so that one-sided conclusion can be reached. The procedure is applied to Moran＇ I in simulated spatial patterns with the use of Matlab. The results show that when there is a high-value clustering tendency,the procedure can unambiguously distinguish the existence of high-value clusters.
出处
《长春大学学报》
2008年第4期6-9,共4页
Journal of Changchun University
关键词
空间聚类
数据调整
精确检测
spatial cluster
data adjustment
exact detection
