The following information was submitted:
Transactions: WSEAS TRANSACTIONS ON INFORMATION SCIENCE AND APPLICATIONS
Transactions ID Number: 29-318
Full Name: Zhang Rongqun
Position: Associate Professor
Age: ON
Sex: Male
Address: Department of Geography informantion science, College of information and Electrical Engineering, China Agricultural University, Beijing, China
Country: CHINA
Tel: +8613522231405
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E-mail address: zhangrq@cau.edu.cn
Other E-mails: pretty-gao@foxmail.com
Title of the Paper: Design and Implementation of Spatial Variation Analysis System
Authors as they appear in the Paper: Gao Lingling Zhang Rongqun Zhao Ming Yuan Hui Cai Simin
Email addresses of all the authors: pretty-gao@foxmail.com,zhangrq@cau.edu.cn,zhm63@sina.com,ankh2004@163.com,caisimin123@163.com
Number of paper pages: 10
Abstract: The advantages of traditional integrated GIS(Geographic Information System) are integrate each component of GIS and form independent complete system, for example ArcGIS and MapGIS, but the system is complex£¬ huge£¬difficult to install, leads to high cost and difficulty in integrate with other applications or system and so on. Component GIS that meet various professional needs not only can carry on reorganization freely and nimbly between each module, but also has a visualization interface and easy-to-use standard interfaces. Spatial variation research mainly has traditional statistics analysis and geostatistics. The advantage of geostatistics is not only consider the value of the sample size, but also pay attention to sample space position and its distance, that make up for the defect of traditional statistics analysis that ignore spatial position. Geostatistics has not been integrated with GIS is a severe flaw of GIS. So, we develop a light-duty Soil Spatial Var!
iation Analysis System use VS 2005 in the support of ArcGIS Engine combined present needs. The article introduces the system's design ideas, the major function modules, the development and implementing; and use HeBei province Handan County soil data to do system test. The result shows that the system has a good operation efficiency and accuracy to meet the general soil spatial variation analysis need.
Keywords: Spatial gridding methods; Geostatistics; Soil Spatial variation analysis; Components development; ArcGIS Engine
EXTENSION of the file: .pdf
Special (Invited) Session: Design and Implementation of Spatial Variation Analysis System
Organizer of the Session: 613-352
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