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Abstract:The forests in Yunnan province are dense and precious. Meanwhile, the forests fire happens frequently. There are ten models generated with two modeling methods in the study area, Yunnan province. In this paper, the spatial autocorrelation method was applied to analyze and evaluate the performance of fire ignition probability models. The results show that: 1) the models generated by geography weight logistic regression method are better than the ones created by binary logistic regression method; 2) compared with other models, the Model 7 is optimal in terms of evaluating by the quantitative spatial autocorrelation method. The results are of significance for making decisions of establishing early warning systems.

Wind power has become one of the most potential and vital green energy sources. Location of the wind farm has a better wind resource，and it is also relatively open. Lightning accident in the wind farm happened occasionally, in order to avoid the situation, which impulse current damages the wind turbine, in the accident, lightning protection grounding system of wind turbine is essential .In this paper, according to the experience of Dongshan wind farm project , the method of how to design the wind turbines and booster station grounding grid as required, the calculation of ground resistance and specific measures to reduce grounding resistance of wind turbine grounding device are discussed.

Regional industry competition is a momentous aspect of regional geographic information engineering. It is quite vital to investigate industrial competitiveness in both theoretical and practical fields. In this paper, the principle and procedure of principal component analysis (PCA) were respectively introduced in detail. The empirical study and comparative analysis of the regional economic competitiveness was conducted by setting some economic indicators. At the same time, SPSS software was applied to extract available geographic information elements which indirectly reflected the enhancement of industrial competitiveness. By analyzing and comparing the economic development of the 16 cities during 2013, we sought out the primary geographic elements affecting the growth trend, and then calculated the overall score of each city in Anhui Province according to comprehensive evaluation model. The results of spatial analysis indicated that the overall score was consistent with each city's economic strength. The analysis in this paper certainly makes sense to provide theoretical reference and practical value for overall economic strength and sustainable regional construction.