Taking Miluo City as an example, this study constructed a health evaluation system that includes four major landscape functions, and quantitatively analyzed the spatial and temporal characteristics of landscape function health in Miluo City during 2000~2020. In addition, by integrating spatio-temporal trend analysis, spatial heterogeneity assessment, and driver identification methods, the direction of landscape function evolution, distribution characteristics, and the driving factors behind them are further examined. Finally, this study analyzed the spatial and temporal evolution of the "three living spaces" in Miluo City using the SOM clustering algorithm. It was found that the overall landscape functional health of Miluo City showed a small decline from 2000 to 2020, from 0.182 in 2000 to 0.179 in 2020, and the spatial distribution showed that the areas with higher landscape functional health indices were mostly located in the southern and northeastern woodlands. In contrast, areas with rapid urban expansion have relatively poor landscape functional health. The analysis results show that the dominant factor in landscape functional health has gradually shifted from climatic conditions to human activities, with the contribution of human activities increasing from 18.3% in 2000 to 14.8% in 2020. From this trend, it can be seen that the functional health of Miluo City's landscape is more sensitive to changes in human activities in the context of accelerated global urbanization. In view of the distribution characteristics of the "three life spaces" and their changing rules in Miluo City, specific zoning control recommendations are proposed, including measures to strengthen the management of the ecological red line, adjust the mode of urban expansion, and promote the integration of agriculture and ecology.