A Big Data-Based Analysis Method of Population Temporal and Spatial Distribution
A spatiotemporal distribution and analysis method technology, applied in the field of data processing, can solve the problem of accurate statistics of the spatiotemporal distribution data of the population, etc., and achieve the effect of small data volume and accurate positioning
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Embodiment 1
[0061] This embodiment provides a method for analyzing population spatiotemporal distribution based on big data, including the following steps:
[0062] S1. Obtain the engineering parameters of the base station provided by the communication operator, the signaling data of the mobile service, and the set of coordinate points of the actual position of the space block provided by the map service provider;
[0063] S2. Through the set of base station engineering parameters and the actual position coordinate points of the space block, a geographic entity feature fingerprint is formed;
[0064] S3. Aggregate the service signaling data according to the time and space relationship, and determine the characteristics of the user's service signaling trajectory data; since it is service signaling, there is only one base station at a time point. However, when the user is in one location, base station switching may occur due to various factors, that is, multiple continuous service signaling...
Embodiment 2
[0220] This embodiment provides a method for analyzing population spatiotemporal distribution based on big data, including the following steps:
[0221] S1. Obtain the engineering parameters of the base station provided by the communication operator, the signaling data of the mobile service, and the set of coordinate points of the actual position of the space block provided by the map service provider;
[0222] S2. Through the set of base station engineering parameters and the actual position coordinate points of the space block, a geographic entity feature fingerprint is formed;
[0223] S3. Aggregate the service signaling data according to the time and space relationship, and determine the characteristics of the user's service signaling trajectory data; since it is service signaling, there is only one base station at a time point. However, when the user is in one location, base station switching may occur due to various factors, that is, multiple continuous service signaling...
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