Construction of Ecological Population Layout Planning Model for Urban Residents’ Fitness

Dapeng Fu, Shangkui Ma

Ekoloji, 2019, Issue 108, Pages: 1071-1076


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Studying the incremental data of the ecological environment is of great significance to the real-time update of the ecological environment database and ecological monitoring. Aiming at the problems of low efficiency and low accuracy of traditional incremental data extraction methods, an incremental big data extraction algorithm for ecological environment under cloud computing is proposed. The attribute correspondence between the ecological environment source database and the target database is analyzed, and the massive ecological data is discretized. The key attributes of the ecological environment data are extracted by n-pattern. According to the extracted results, the LC increment is adopted. The extraction method is used to establish a temporary table, and the ecological environment data is analyzed by using cloud computing, and the ecological environment data is extracted in three operations according to the data in the temporary table. The experimental results show that the data extraction accuracy of the proposed algorithm can be as high as 90%, and the data extraction efficiency is high, which provides a reference for the in-depth study of the ecological environment.


fitness, ecosystem, layout planning


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