北京测绘2025，Vol.39Issue(4)：516-521,6.DOI:10.19580/j.cnki.1007-3000.2025.04.019
基于地理信息数据与人工智能算法的土地资源优化
Optimization of land resources based on geographical information data and artificial intelligence algorithms
摘要
Abstract
Land resource planning is a crucial step in achieving sustainable development.By optimizing land use structures,resource utilization efficiency can be significantly improved.This paper proposed a method for optimizing land resources through the integration of geographical information data and artificial intelligence algorithms.The study selected the complex and diverse terrain resources of a certain city as the research object.Through the comprehensive analysis of elevation and planar data,optimization objectives for land resource planning were established,along with corresponding constraints.Particle swarm optimization and differential evolution algorithms were applied to optimize the quantity and spatial patterns of land resources.Data analysis verification shows that the overall accuracy of the predictions made using geographical information data and artificial intelligence algorithms for land resource optimization is an average of 91.6%,providing better technical support for land resource optimization.关键词
地理信息数据/粒子群算法/差分进化算法/土地资源优化/空间格局Key words
geographic information data/particle swarm optimization/differential evolutionary algorithm/optimization of land resources/spatial pattern分类
天文与地球科学引用本文复制引用
刘细林,任上峰..基于地理信息数据与人工智能算法的土地资源优化[J].北京测绘,2025,39(4):516-521,6.基金项目
浙江省自然资源科技项目(2023-33) （2023-33）
