| A study on temperature interpolation methods based on GIS | |
| Wenjing Cao; JinXing Hu; Xiaomin Yu | |
| 2009 | |
| 会议名称 | 2009 17th International Conference on Geoinformatics, Geoinformatics 2009 |
| 英文摘要 | This paper compares five spatial interpolation methods of inverse distance weight, Spline, Kriging-exponential, Kriging-spherical, Kriging-Gaussian in temperature interpolation, utilizing GIS software spatial analysis functions. The research data are the minimum temperature, mean air temperatures and maximum temperature of the first ten days of January, April, July and October from 1990 to 2005 in 327 weather stations of China. The result shows that Kriging-exponential and Kriging-spherical interpolation methods are the highest-accuracy methods, inverse distance weight method is less accurate, and Kriging-Gaussian and Spline interpolation methods have the lowest accuracy. Meanwhile, duringinterpolating four seasons' temperature, the results of the interpolation error of these five methods are: Errorsummer < Errorautumn < Errorspring< Errorwinter When the number of interpolation points is certain, there is a negative correlation between the precision of interpolation methodsand standard deviation of the interpolation points. |
| 收录类别 | EI |
| 语种 | 英语 |
| 内容类型 | 会议论文 |
| 源URL | [http://ir.siat.ac.cn:8080/handle/172644/2662]  |
| 专题 | 深圳先进技术研究院_数字所 |
| 作者单位 | 2009 |
| 推荐引用方式 GB/T 7714 | Wenjing Cao,JinXing Hu,Xiaomin Yu. A study on temperature interpolation methods based on GIS[C]. 见:2009 17th International Conference on Geoinformatics, Geoinformatics 2009. |
| 个性服务 |
| 查看访问统计 |
| 相关权益政策 |
| 暂无数据 |
| 收藏/分享 |
除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。
修改评论