Construction of Rural Area Eco-Tourism Resource Optimization Model Under the Background of Internet Plus

Abstract

Rural Eco-tourism has become an important engine to promote rural revitalization in China. With the improvement of the application of Internet plus technology in rural areas, the characteristic resources of rural Eco-tourism can be optimized and allocated through Internet technology in the development and design. In this paper, using the correlation feature extraction method of rural ecological tourism resources of feature extraction and forecasting, construct Internet plus under the background of big data fusion and adaptive resource allocation of rural Eco-tourism development model, and according to the characteristics of the ecological tourism resources of clustering, subspace model is proposed for rural Eco-tourism resources distribution. The proposed model improves the performance allocation of Eco-tourism resources in rural areas and promotes the sustainable development of rural tourism. Finally, the performance of China’s rural Eco-tourism is tested through simulation experiments. The simulation results show that the rural Eco-tourism resources are well allocated and balanced, and the mining and integration ability of tourism resources is improved. At the same time, this paper also found that the big data mining and feature clustering of Eco-tourism resources can promote the development of rural Eco-tourism.