Retraction Note: Prediction of air pollutants and rural green tourism factors based on dynamic migration

Abstract

The purpose of this paper is to analyze the diffusion and interaction of air pollutants in different cities, and point out a method to evaluate the efficient correlation between air pollutants in the data of cities and nearby areas, so as to establish the air pollution information of surrounding towns. In addition, this paper analyzes the weather forecast according to the mobile migration and the impact of rural green tourism. Tourism is increasingly becoming a tool for achieving sustainable development, especially from the perspective of poverty reduction. The number of overseas travel receipts increases and can be recognized as the easiest way to reduce poverty. Strategic research aims to use tourism to alleviate poverty a significant amount, but there is little understanding of macro levels of poverty alleviation, especially at different levels of poverty. Mature tourist objections require a consistently expanding assortment of items and markets. To be effective, this system requires a point by point comprehension of the degree of likely sightseers and utilization designs. Experimental examinations on the travel industry burning through the will, in general, utilize standard least-squares relapse for this reason. Most important of this technology, however, is that it is higher, has significant limitations, and is unable to distinguish below average tourists. Intra-digit regression also considers exploration of the overall conditional distribution of a given predictor response variable, thus producing a more comprehensive map of significant predictors.