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In this article, five villages in Sichuan earthquake-stricken area are selected for study as examples. By building Logistic of binary choice models to analyze the influencing factors of peasants' autonomy to play in post-earthquake reconstructions, authors found there was a positive correlation between education, subjective cognition of reconstruction, willingness to participate, effectiveness of improving the living environment after reconstruction and the autonomy of peasants to participate in post-disaster reconstruction. There was a negative correlation between cognition about the source of reconstruction funds, decision-making subjects of reconstruction and the autonomy of peasants in post-disaster reconstruction. Whether or not to actively participate in post-disaster reconstruction had no significant correlation to gender, age, effectiveness of increase in redevelopment projects, effectiveness of science and technology extension in redevelopment projects, leading subjects of reconstructions, government's respect for the wishes of peasants, or peasants' satisfaction for the performances of government in reconstruction. Keywords: Post-earthquake reconstructions, Peasants, Autonomy, Influencing factors, Wenchuan Earthquake in China, Introduction After Wenchuan Earthquake on May 12th, 2008, earthquake relief has become one of the important works of governments. Because of the large geographical spread of this earthquake, the disaster [...]

Since the reform and opening up, China's economic development has been accelerating. In the current world economic system, China occupies a very important position. However, there is a phenomenon of uneven economic growth among different regions, namely, there are large differences in economic growth rates and economic development levels between different provinces and cities. In recent years, a large number of studies have shown that China's regional economic growth has obvious spatial correlation. In this paper, we adopt the method of network analysis to study and explain the spatial correlation of regional economic growth. Multimedia mining is a combination of data mining technology and multimedia technology. It is a cross-disciplinary field of knowledge discovery, data mining, artificial intelligence, machine learning, database technology, and multimedia technology. Therefore, data visualization technology can be used to study the coordinated development model of regional economy. Multimedia data visualization is an evolving concept whose boundaries are constantly expanding, mainly referring to technologically advanced technical methods that allow the use of graphics, image processing, computer vision, and user interfaces. Visualize data by expressing, modeling, and displaying stereo, surface, attributes, and animations. Compared with special technical methods such as stereo modeling, the technical methods covered by data visualization are much broader. The simulation results prove that the propose model can obtain the better overall perforamcne. [ABSTRACT FROM AUTHOR]