Research issues and applications of geo-spatial big data in government sector

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Jiping Liu and Liang Wang

Chinese Academy of Surveying and Mapping, China

: J Comput Eng Inf Technol

Abstract

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With the growing geographical data, typical spatial overlay methods for vector data in current GIS platform were unable to adapt to voluminous vector data. Thus, this paper presents a novel spatial overlay method for vector data based on the distributed memory computing framework. Firstly, according to the principle of distributed computing, i.e., map and reduce the vector data were divided into several grids. In this way, several partitions were made for the vector data with the aim of parallel computing. Moreover, with this method, unnecessary calculations between the apart spatial objects can be avoided. Secondly, STRtree data structure was constructed in each grid to solve the problem of the uneven distribution in each grid. Meanwhile, with the STR-tree data structure, the efficiency of overlay operation in the same grid can be improved, and the data unevenly distributed problem can be solved by this way. The final comparison between this method and other typical methods shows that this method can significantly improve the overlay operation’s performance for the large-scale vector data.

Biography

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Jiping Liu has received his MSc degree in Computer Aided Cartography from Wuhan Technical University of Surveying and Mapping, and PhD degree (2004) in Cartography and GIS from the PLA Information Engineering University. He has done his Post-doctoral studies from Tsinghua University. Now he is a Professor in Chinese Academy of Surveying and Mapping. He has published 2 books and more than 100 papers in reputed journals. He has also been serving as a Director of the E-government Information Commission of China Association for Geographic Information Society and a Member of Commission on Theoretical Cartography, International Cartographic Association since 2011. His research interests are in the areas of Spatial Data Mining, Government Geographic Information Service and Image Processing.

Email: liujp@casm.ac.cn