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采用ArcGIS 9.3提供的数据检验功能,对公路气候区划数据进行可用性分析,以提高公路气候区划结果的准确性。以山东省的年平均地表温度为例,提出用直方图和Voronoi图相结合的方法查找并确定数据的离群值,采用直方图、半变异/协方差函数云图等分析剔除离群值之后数据的分布规律和特征。分析结果表明:研究数据存在离群值现象,离群值剔除处理后,数据能较好地反映山东省年平均地表气温的全局趋势,服从正态分布,具有空间相关性,符合地统计学中数据插值的要求,数据是可用的。
The data validation function provided by ArcGIS 9.3 is used to analyze the usability of highway climate zoning data to improve the accuracy of highway climate zoning results. Taking the average annual surface temperature in Shandong Province as an example, this paper proposes to find and determine the outliers of the data by combining the histogram and the Voronoi diagram. After removing the outliers by histogram, semi-variation / covariance function, The distribution and characteristics. The results show that there is an outlier phenomenon in the study data. After the outliers are removed, the data can better reflect the global trend of annual average surface air temperature in Shandong Province, which is subject to normal distribution and spatial correlation, Data interpolation requirements, data is available.