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为寻求地震活动演化的统计判据，本文采用多项式拟合法展示地震时序谱之涨落谱，以分维函数法判断最小邻间距（NNS）分布的Poisson性，然后采用MKS无参量法判别涨落谱之统计稳定性，确定NNS分布的转变区，具体研讨了四川、云南若干震区地震活动时序谱的涨落统计分布，发现地震活跃期到来时NNS分布表现出非Poisson化的特征。进一步通过改变和调节时序数据样本集之震级下限，并逐段前推进行统计计算的方式进一步验证结果的可靠性，客观地确定了这些震区地震活动时序涨落谱统计特征的转变期，使根据该统计法判断地震活跃期的方法论渐趋完善。
In order to find the statistical criterion for the evolution of seismicity, this paper presents a polynomial fitting method to show the fluctuation spectra of seismic time series, and the Poisson property of NNS distribution by fractal dimension method. Then, The statistical stability of the spectrum and the determination of the transition region of NNS distribution are discussed in detail. The statistical distribution of the seismic activity time series in several earthquake regions in Sichuan and Yunnan Provinces is studied. It is found that the NNS distribution is non-Poissonized when the seismic active phase arrives. Further, by changing and adjusting the lower bound of the magnitude of the time series data samples and proceeding statistical calculation step by step, the reliability of the results is further verified, and the transitional period of statistical features of seismic fluctuation sequence of earthquake activity is objectively determined. The methodology of judging the active period of the earthquake according to the statistical method is gradually improving.