利用时空立方体挖掘小微地震时空演变模式

挖掘分析小微地震的时空演变模式，可为地震灾害的分析与预报提供辅助决策参考。本文以四川地区的地震监测数据为基础，利用时空立方体融合地震点的空间、时间与属性数据，基于时空热点统计分析方法挖掘小微地震的时空冷热点分布模式。试验结果表明：在试验数据的时域内，四川地区小微地震的热点模式主要表现为连续热点、逐渐减少热点和振荡热点。冷点模式主要是连续冷点，且冷点覆盖范围比热点覆盖范围广。基于时空立方体的时空热点分析方法能够发挥时空统计学的优势，可有效挖掘分析小微地震的时空演变趋势。

Mining the spatiotemporal evolution pattern of small earthquakes using space time cube

Mining and analyzing the spatiotemporal evolution patterns of the small earthquakes can provide auxiliary decision-making support for the analysis and prediction of earthquake disasters. In this paper, based on the seismic monitoring data in Sichuan area, the space time cube was used to fuse the characteristic data of space, time and attributes of earthquake points, and the spatial temporal hot spot statistical analysis methods were utilized to mine the distribution patterns of the spatiotemporal cold spots and hot spots of small earthquakes. The experimental results show that, in the time domain of the experimental data, the hot spots patterns of small earthquakes in Sichuan area are mainly consecutive hot spots, diminishing hot spots and oscillating hot spots, and the cold spots patterns are mainly consecutive cold spots, and the coverage of cold spots is wider than that of hot spots. The spatiotemporal evolution pattern mining method based on space time cube can play the advantage of spatiotemporal statistics, and it is an effective way to mine and analyze the temporal and spatial evolution trend of small earthquakes.