Analysis of Forest Fire Situation and Its Temporal and Spatial Aggregation Characteristics in China
To further study the temporal patterns and spatial clustering characteristics of forest fires,in China,the forest fire characteristics were analyzed based on the monthly frequency of forest fires in 2004-2022 and 2015-2021 and the hydrologi-cal and geographical conditions of 31 provinces and cities in 2017 using the Prophet time series model and fuzzy clustering a-nalysis. The results show that the Prophet time series model has good applicability in the field of forest fire prediction. In terms of temporal patterns,forest fires from 2004 to 2022 showed a trend of first decreasing,then increasing,and were sig-nificantly affected by seasonal factors. The factors affecting the holidays are not significant. In terms of spatial clustering,the 31 provinces can be roughly divided into sevens categories,which are basically related to their geographical locations and characteristics. The research results can provide references for exploring the spatiotemporal distribution and clustering charac-teristics of forest fires.
forest firespublic safetyprophet time-series modelfuzzy clustering modelspatial and temporal distribution
万方数据
维普
