底栖生物生物量空间插值方法研究

Research on spatial interpolation methods of Macrobenthic biomass

在地统计学和地理信息系统支持下,采用反距离加权(Inverse distance weighting,IDW)、径向基函数(Radial basis functions,RBF)、普通克里格(Ordinary Kriging,OK)3种插值方法对2007年4月获得的大亚湾人工鱼礁区及附近海域底栖生物生物量数据进行空间插值方法研究,并对插值精确度进行交叉验证。结果显示,经对数转化后的数据呈正态分布,而且3种插值方法对其进行插值,所得的等值面图效果比原始数据所得等值面图效果好。交叉验证显示,对数转化数据插值精确度OK﹥RBF﹥IDW。观察插值结果等值面图,发现3种方法均能较客观地模拟出底栖生物生物量的总体分布趋势,在对局部趋势的模拟上,OK的表现效果最好。

Based on the geostatistical method and GIS,three different methods of spatial interpolation were compared：inverse distance weighting（IDW）,radial basis functions（RBF） and Ordinary Kriging（OK）,using the recorded Macrobenthic biomass in the artificial reef and nearby sea area of the Daya Bay,China,in April 2007.At the same time,the definition of interpolation was verified by cross-validation.The results showed that after data log-transformed assumed normal distribution,and three kinds of interpolation methods for their interpolation,from the equivalent effect of interpolation surfaces than the raw data by the equivalent effect of contours a good map.The accuracy of the OK was the highest,followed by the RBF,and then the IDW.The interpolation surfaces revealed that all of the three methods correctly showed general trends of the Macrobenthic biomass by using a series of optimization techniques.The generated by the OK were considered the best,as the method could represent both general and local trends accurately.