The rich decision-making basis are provided for police work by police spatial big data. But some challenges are also brought by it, such as:large data integration complex, multi scale information related difficulties, the location identification is not unique. Thus, how to make the data better service to the police work reform and development is a problem need to be study. In this paper, we propose location identification method to solve the existing problems. Based on subdivision grid, we design the location encoding method of police spatial big data, and choose domicile location identification as a case. Finally, the prospect of its application is presented. So, a new idea is proposed to solve the problem existing in the police spatial data organization and application.
HU Xiaoguang
,
GAO Shuhui
,
TONG Xiaochong
,
CHENG Chengqi
,
CAI Nengbin
. Police Spatial Big Data Location Code and Its Application Prospect[J]. Acta Geodaetica et Cartographica Sinica, 2016
, 45(S1)
: 121
-126
.
DOI: 10.11947/j.AGCS.2016.F015
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