| 基于空间可视化的气温插值方法比较 |
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| 引用本文： | 焦永清,李斌,张坤.基于空间可视化的气温插值方法比较[J].测绘工程,2013(5):62-64. |
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| 作者姓名： | 焦永清 李斌 张坤 |
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| 作者单位： | [1]长安大学地质工程与测绘学院,陕西西安710054 [2]湖南省芷江侗族自治县气象局,湖南芷江419100 |
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| 基金项目： | 中央高校基本科研业务费专项资金资助（CHD2011TD019） |
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| 摘 要： | 基于GIS的可视化、空间插值和叠加分析功能，以1982年全国684个气温台站观测数据为插值实验样本，探讨可视条件下空间插值几种主要方法的优劣及适用性,通过对年均气温预测精度的对比及陕西省年均气温预测图的分析，得出就效果而言普通克里格空间插值最优、反距离加权法次之而规则样条法相对较差的初步结果。
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| 关 键 词： | 空间可视化 插值方法 年均气温 预测 |
Comparative studies based on spatial visualization of temperature interpolation methods |
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| JIAO Yong-qing,LI Bin,ZHANG Kun.Comparative studies based on spatial visualization of temperature interpolation methods[J].Engineering of Surveying and Mapping,2013(5):62-64. |
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| Authors: | JIAO Yong-qing LI Bin ZHANG Kun |
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| Institution: | 1. College of Geology Engineering and Geomatics, Chang＇an University, Xi＇an 710054, China; 2. Meteorological Administ ration of Zhijiang Dong Autonomous County, Zhijiang el 19100, China) |
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| Abstract: | Based on the visualization, spatial interpolation and overlay analysis function of GPS, with the national 684 meteorological stations with an average annual temperature observation data in 1982 as an example, it presents several main spatial interpolation methods including the applicability, superiority and inferiority. Through the comparison of the predicted, accuracy of the annual temperature and the analysis of annual temperature prediction figure in Shanxi province, the conclusion is obtained that Ordinary Kriging interpolation method effect is the best. Completely Regularized Spline method is the second, and Inverse Distance Weighting method is the less. |
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| Keywords: | spatial visualization interpolation method average annual temperature forecast |
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