Title :
Studying on Distributed Sharing of Geographical Analysis Model
Author :
Chen, Min ; Lu, Guonian ; Wen, Yongning ; Tao, Hong ; Fei, Guo
Author_Institution :
Key Lab. of Virtual Geographic Environ. (Minist. of Educ.), Nanjing Normal Univ., Nanjing, China
fDate :
March 31 2009-April 2 2009
Abstract :
In order to solve the problems of sharing difficulty in geographic analysis model which is classification diversity, the model wrapped method and model service approach based on geographic analysis model metadata are studied in this paper. By the experiments, it has shown that our research can provide a feasible way for sharing geographical analysis model.
Keywords :
geographic information systems; geography; geographical analysis model sharing; metadata; model service approach; model wrapped method; Books; Computer science; Computer science education; Decision support systems; Dictionaries; Information analysis; Libraries; Mathematical model; Performance analysis; Runtime; distributed sharing; geographical analysis model; model service approach; model wrapped method;
Conference_Titel :
Computer Science and Information Engineering, 2009 WRI World Congress on
Conference_Location :
Los Angeles, CA
Print_ISBN :
978-0-7695-3507-4
DOI :
10.1109/CSIE.2009.88