Environmental Ecological Analysis Based on Machine Learning and Big Data--Evidence from China
Year: 2024
Type: conference-paper
Abstract: Based on machine learning and big data technology, this paper analyzes the environmental ecology of China. Firstly, this paper collected and analyzed a large number of eco-environmental data sets, and discussed the trend and reasons of eco-environmental changes in China from the perspective of precipitation and land cover. Then the article uses LGBM and SHAP models to evaluate the contribution of influencing factors to the ecological environment, and evaluates the effect of the model. The key indicators affecting the ecological environment are obtained and the corresponding analysis is given. It provides an empirical reference for the use of machine learning methods in geography.
Authors: Xiao Chao, Qiang Zhang
Institution: Southwest Forestry University
Language: English
Subfield: Ecology
Field: Environmental Science
Domain: Physical Sciences
SDG: Climate action
Open Access status: gold
OpenAlex ID: W4409095337