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- W2361638413 abstract "Online statistical analysis of spatial information is restricted to spatial data formats and specific application software environment,so it′s difficult to realize the sharing of resources on the Internet.SVG,which was drafted by W3C,provides an open solution for spatial data′s visualization and analysis in WebGIS.For that reason,a SVG based online analytical method of spatial autocorrelation was discussed in this paper.According to this method,a binary connectivity matrix is constructed by the contiguous geographical units,and then the spatial weight matrix algorithm is used to get the row-standardized matrix,in order to meet the requirements of spatial statistical analysis.On one hand,it can solve the shortcoming of generality and standardization between different spatial data formats.On the other hand,an online method of spatial autocorrelation analysis is accomplished.During the whole procedure,the B/S architecture is applied to fulfill an online spatial autocorrelation service.In the experiment step,the indicator of Moran′s I is used to measure the spatial correlation of the regional economical energy consumption from 2007 to 2009 in China.From the experiment result,distribution characteristics of regional economical energy consumption are presented by some statistical graphs.In the last,this paper gets some conclusions and suggestions for improvement." @default.
- W2361638413 created "2016-06-24" @default.
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- W2361638413 date "2012-01-01" @default.
- W2361638413 modified "2023-09-24" @default.
- W2361638413 title "A Method of Online Spatial Autocorrelation Analysis Based on SVG and Its Application" @default.
- W2361638413 hasPublicationYear "2012" @default.
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