ABSTRACT
The 19th big conference put forward the strategy of rural revitalization at national level. It embodies the party and country-to-country attaches great importance to the construction work. The country's revitalization strategy is based on the prosperous industry, ecological livable, local custom civilization, effective governance, and life-rich multi-dimensional plots that make up the overall layout for rural development. A gradient optimization method for landscape spatial pattern was proposed based on big data analysis, and the gradient pattern of the landscape was analyzed by the landscape pattern index. The ecological contribution value of the landscape spatial pattern gradient was calculated according to the analysis results, and the evaluation index of impact factors was obtained by the single factor evaluation method. The comprehensive measurement of the landscape spatial pattern gradient was calculated according to the evaluation index. The gradient of landscape flow was obtained by the exponential method, and the gradient of landscape spatial pattern was optimized by combining the contribution value of the ecological environment and comprehensive force measurement. The current gradient optimization method for landscape spatial pattern can’t effectively optimize the gradient of a landscape spatial pattern due to the lack of plant species and uneven distribution. The optimization results show that the gradient pattern optimized by the proposed method has many plant species and a uniform distribution, which can effectively optimize the gradient of a landscape spatial pattern.
