Abstract:

Based on the mobile phone signaling data and geographical information data, integrated geographic information space computing, a method for identifying the occupation and residence of the residents is proposed innovatively. On the Spark platform, first the mobile information signaling data is bound to the geographic entities by using the geo spatial analysis service. Then the positioning calibration and the cleaning of the signaling data are completed by noise reduction algorithm. Finally, mathematical algorithms and models are constructed to obtain the occupation and residence of the residents. This paper takes two weeks' mobile phone signaling data of Chengdu residents as an example to verify the feasibility of the method. The result will provide data support for commercial site selection, customers management, city planning and other applications.

Key words: mobile phone signaling data, geographic information, Spark, occupation and residence