By Topic

Studying on Distributed Sharing of Geographical Analysis Model

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

5 Author(s)
Min Chen ; Key Lab. of Virtual Geographic Environ. (Minist. of Educ.), Nanjing Normal Univ., Nanjing, China ; Guonian Lu ; Yongning Wen ; Hong Tao
more authors

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.

Published in:

Computer Science and Information Engineering, 2009 WRI World Congress on  (Volume:2 )

Date of Conference:

March 31 2009-April 2 2009