Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-6, 73-78, 2014
http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XL-6/73/2014/
doi:10.5194/isprsarchives-XL-6-73-2014
© Author(s) 2014. This work is distributed
under the Creative Commons Attribution 3.0 License.
 
23 Apr 2014
Making Spatial Statistics Service Accessible On Cloud Platform
X. Mu, J. Wu, T Li, Y. Zhong, and X. Gao School of Resource and Environmental Science of Wuhan University, 129 LuoyuRoad, Wuhan 430079, China
Keywords: Web service, Cloud platform, Microsoft Windows Azure, Eigenvector-based spatial filtering, Regression analysis, DLL Abstract. Web service can bring together applications running on diverse platforms, users can access and share various data, information and models more effectively and conveniently from certain web service platform. Cloud computing emerges as a paradigm of Internet computing in which dynamical, scalable and often virtualized resources are provided as services. With the rampant growth of massive data and restriction of net, traditional web services platforms have some prominent problems existing in development such as calculation efficiency, maintenance cost and data security. In this paper, we offer a spatial statistics service based on Microsoft cloud. An experiment was carried out to evaluate the availability and efficiency of this service. The results show that this spatial statistics service is accessible for the public conveniently with high processing efficiency.
Conference paper (PDF, 797 KB)


Citation: Mu, X., Wu, J., Li, T., Zhong, Y., and Gao, X.: Making Spatial Statistics Service Accessible On Cloud Platform, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-6, 73-78, doi:10.5194/isprsarchives-XL-6-73-2014, 2014.

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