期刊名称：International Journal of Computer Science Issues
印刷版ISSN：1694-0784
电子版ISSN：1694-0814
出版年度：2012
卷号：9
期号：5
出版社：IJCSI Press
摘要：This research attempts to compare the method of analysis and the mapping of endemic outbreaks of brown planthopper on the staples commodity and horticulture using spatial autocorrelation method. The research was done through three steps; those are (1) data preprocessing (2) endemic prototype of BPH (3) the analysis of the increase of attacked stem brown planthopper parameter, the rainfall intensity, and the density of natural enemy. GISA, LISA, and Getis Ord Statistic were used in the endemic of BPH modeling. The result of this research shows that hotspot pattern in 37 subdistrict area and coldspot pattern in 13 subdistrict areas in 2001 - 2010 can be classified by using these methods. From the comparison of Local Morans experiment map and Getis Ord BPH experiment map in 2001, 2006 and 2010, it is found that the indication of hotspot on Local Morans is the same as clustering indication on Getis Ord based on the value of Z(Gi)2. The distribution of BPH attack is determined by the spatial object connectivity pattern of BPH population, rainfall and the territorial position.
关键词：Spatial Autocorrelation; Getis Ord; Brown Planthoppers; Endemic Pattern
