Combined Interpolation and Simulation Methods with GIS Software

被引：0
|
作者：
Sun, Yingjun [1 ]
Cai, Fei [1 ]
Li, Daobo
机构：
[1] Shandong Jianzhu Univ, Dept Civil Engn, Jinan, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL PRE-OLYMPIC CONGRESS ON COMPUTER SCIENCE, VOL I: COMPUTER SCIENCE AND ENGINEERING | 2008年
关键词：
Simulation; GIS; COM; Kriging; Geostatistics;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
Interpolation and Simulation methods played an important role in the field of spatial information analysis. The software of GIS provided a visual representation of the world - with image or vector map, while the function of spatial analysis of GIS was not enough. Based on COM technology, the paper made use of Mo technology to realize the function of interpolation and simulation in GIS software - ArcView. The interpolation methods included mainly series of Kriging methods. The simulation methods involved sequential Gaussian method, P-field simulation and Anneal Simulation method. In case study, the image of MODIS which was retrieved as the air temperature in the North China Plain was processed. The missing data of any one of the input variables would cause the result air temperature being "0". So the value of some points appeared as "0" in the result of air temperature. The interpolation method - Kriging have been applied to obtain the more complete air temperature distribution.
引用
收藏
页码：268 / 271
页数：4
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