Mental health and natural land cover: a global analysis based on random forest with geographical consideration.

ABSTRACT: Natural features in living environments can help to reduce stress and improve mental health. Different land types have disproportionate impacts on mental health. However, the relationships between mental health and land cover are inconclusive. In this study, we aim to accurately fit the relationships, estimate the impacts of land cover change on mental health, and demonstrate the global spatial variability of impacts. In the analysis, we show the complex relationships between mental health and eight land types based on the random forest method and Shapley additive explanations. The accuracy of our model is 67.59%, while the accuracy of the models used in previous studies is usually no more than 20%. According to the analysis results, we estimate the average effects of eight land types. Due

SUBMITTER: Li C 

PROVIDER: S-EPMC10844245 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature