Xinze Li, Yunxiao Li, Hongbing Li
College of Information Science and Engineering, Shandong Agricultural University, Taian, Shandong 271000, China
Since September 2019, the Asian Hornet has had a serious impact on the ecological balance of Washington State. First select and integrate the data, sort, filter, and match the data in the table to obtain valuable information. We adopt the strategy of spatial area analysis, based on historical data, and use the quadratic exponential smoothing method to fit the ARIMA parameters, and finally get a robust time series forecasting model. Furthermore, according to the predictive model, the possible quantity in the next year is simulated, which provides a theoretical basis for controlling the spread of this pest.
ARIMA, Vespa mandarinia propagation, Data visualization
Xinze Li, Yunxiao Li, Hongbing Li. Analyze and extract public data on the correct spread of Asian Hornet. Academic Journal of Environment & Earth Science (2021) Vol. 3 Issue 1: 20-24. https://doi.org/10.25236/AJEE.2021.030104.
 An Yonggui, Han Lei, Huang Xiaoyu, Gao Yang. The first launch of the prediction network of saturated vapor pressure difference in Northwest China based on exponential smoothing and ARIMA model [J]. Arid Zone Research, 2021-02-05: 31760236 34460220.
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