Landscape metrics are essential for understanding the spatial patterns associated with land-use changes. This study investigates the correlation among landscape metrics calculated for the native vegetation class in the Paraíba Valley (São Paulo, Brazil), between 2000 and 2022. Class-level metrics were derived, and Pearson’s correlation analysis was applied to identify linear associations between different metrics. The results revealed a positive correlation between Total Edge and Number of Patches (r = 0.69), indicating that increased fragmentation leads to greater total edge length. In contrast, Fractal Dimension Index and Aggregation Index showed a negative correlation (r = –0.31), suggesting that more aggregated fragments tend to exhibit simpler shapes. These findings indicate a spatial reorganization of native vegetation in the study area, driven by secondary regeneration and conservation policies, and underscore the relevance of landscape metrics in environmental analysis and planning.