Research on Rural Landscape Design Based on Comparative Learning Interactive GIS Algorithm

Tourism development on the Mashan Peninsula has led to significant landscape changes, with increased construction land encroaching on other types, especially broad-leaved forests. This has resulted in a fragmented, heterogeneous landscape with reduced connectivity and dominance. These changes are driven by tourism construction, agricultural demand, and policy promotion, which have also led to a decline in ecosystem service value (ESV), particularly in regulation services. Correlation and regression analyses help identify key landscape indices affecting ESV, offering strategies to optimize landscape patterns and improve ecosystem service efficiency. For tourism-oriented rural landscapes, constructing “ecological safety patterns” and “cultural landscape safety patterns” is essential. The former ensures ecosystem stability, while the latter protects cultural resources. After applying contrastive learning, the landscape diversity index increased from 0.65 to 0.75, and ecological corridor connectivity improved from 60% to 80%. Agricultural productivity rose by 10%, with yields increasing from 2.5 to 2.75 tons per hectare, and water resource efficiency improved from 70% to 82%. By overlaying ecological and cultural safety patterns, comprehensive zoning strategies can promote balanced ecological protection and cultural development, offering valuable insights for sustainable rural landscape planning.