Structural Equation Modeling Analysis Of Biodiversity And Linguistic Diversit

Language diversity and biodiversity have a regional correlation,with multiple measurement indicators.The correlation between the two may be influenced by common factors such as environment and area.This article uses a structural equation model,with language diversity,biodiversity,and common influencing factors as latent variables,to upgrade the one-to-one correlation calculation between indicators to a multi to many synchronous modeling,and study the relationship between biodiversity and language diversity without the influence of common factors.This article uses maximum likelihood estimation and Bayesian estimation to numerically simulate the CFA model,and the results show that the model can be recognized and the simulation effect is good.Then,data from China and foreign regions are substituted into the set CFA model,and the model fitting effect is good.Furthermore,a structural process model is established to analyze the relationship between language diversity and biodiversity after removing common factors.The model fitting indicators are good,To avoid conflicting structural models,Lasso,MCP,and Amos search methods were used to penalize the specified parameters and select the top four models.The results of the three methods were consistent,indicating a weak negative correlation between biodiversity and language diversity in China and a weak positive correlation between biodiversity and language diversity in foreign regions.For the Chinese region,this article calculated the common factor scores of each province and used Spearman correlation coefficient to verify the correlation between common factors and vegetation coverage and area.Correspondence analysis was used to present indicators representing minority language,Chinese language diversity,and biodiversity in the correspondence analysis chart,and to analyze the distribution differences and correlation among the three,The results indicate that Chinese dialects are negatively correlated with minority languages and biodiversity regions,while minority languages are positively correlated with biodiversity regions.