Data Analysis of the Time and Space Distribution of Lightning
Jiahong Chen · Gao dianya jishu · 2008
To find a right method for systematizing a great number of lightning data, this paper analyzes 40 893 lightning data obtained on two lines in one year. The elevation of the lightning point is a very important character to analyze the distribution of lightning. Because the lightning data in China are usually planar, the software of GIS was used to get the elevation of the lightning point at first. Then, considering the complexity of lightning data, the data mining technique can be used in analyzing the lightning data in this paper. The data mining technique were used in many vocations, such as business, insurance, internet. Even in the power system, the data mining technique are usually used in the fault detection, the load prediction and the market of electric power. The function of classification in DataCruncher is used to establish a classification model based on lightning data. DataCruncher is a software based on data mining technique, and it has functions of classification and clustering. And this paper gets the characteristics of the day and month distribution of lightning, and gets the 2D and the elevation distribution of the lightning in the unit acreage. The results agree with those by the traditional statistic method. And the data mining technique is more quickly and exactly than the traditional statistic method. So the technique of data mining is suitable for the analysis of lightning data.