The MapReduce based statistical model on maritime location big data

2019 2nd International Conference of Green Buildings and Environmental Management

生态环境科学

Wlei, Bao^1

Computer Science Department, Wuhan Donghu University, Wuhan, China^1

关键词: Behavior patterns;    Data trend;    Location data;    Map-reduce;    Movement regularities;    Moving objects;    Spatio temporal;    Statistical modeling;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/310/2/022044/pdf
DOI  :  10.1088/1755-1315/310/2/022044

学科分类：环境科学（综合）

来源: IOP

【 摘 要 】

With the development of information technology, maritime location data shows big data trend. The analysis and research on maritime location big data can capture its hidden location characteristics, movement regularity and behavior pattern. Based on the Hadoop[1] architecture, a spatio-temporal statistical model is proposed. Then the statistics and visualization of essential information on maritime location data is carried out, which can display the situation of maritime moving objects,including the scale, the trend of change and the spatial distribution situation.