In the moment-ratio imaging algorithm,which is based on the theory of healing of a wound,the energy of each strong earthquake is distributed around the epicenter according to certain rules,and the features of the Mo-ment-ratio value R are analyzed as the space and time change,so that the relationships between the moment-ration value R and strong earthquakes can be found. In the present paper,regions divided,hypocenter depths and events completed magnitude analyses were carried out in the Chinese catalogue. By applying the moment-ratio imaging algorithm in which the parameters are adjusted,the processes of anomaly evolution which correspond to the epi-center and the surrounding value R before earthquakes of M≥7.0 since 1966 in different areas of China were ana-lyzed. It was found that the range area and imminent time of a coming earthquake could be confirmed quantita-tively by analyzing the abnormal temporal and spatial variation of the value R. The results showed that the tempo-ral and spatial variation of the value R could quantitatively reflect the temporal and spatial factors of a coming strong earthquake as well as the rule of medium rupture. In the moment-ratio imaging algorithm, which is based on the theory of healing of a wound, the energy of each strong earthquake is distributed around the epicenter according to certain rules, and the features of the Mo-ment-ratio value R are analyzed as the space and time change, so that the relationships between the moment-ration value R and strong earthquakes can be found. In the present paper, regions divided, hypocenter depths and events completed magnitude analyzes have carried out in the Chinese catalog. the moment-ratio imaging algorithm in which the parameters are adjusted, the processes of anomaly evolution which correspond to the epi-center and the surrounding value R before earthquakes of M ≧ 7.0 since 1966 in different areas of China were ana-lyzed. It was found that the range area and imminent time of a coming earthquake could be confirmed quantita-tively by analyzing the abnormal temporal and spatial variation of the value R. The results showed that the tempo-ral a nd spatial variation of the value R could quantitatively reflect the temporal and spatial factors of a coming strong earthquake as well as the rule of medium rupture.