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OALib Journal期刊
ISSN: 2333-9721
费用：99美元
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人口统计数据空间化的一种方法
DOI: 10.11821/xb200710010, PP. 1110-1119
Keywords: 空间插值,曲面建模,遗传规划,遗传算法,地理信息系统,山西省
Abstract:
人口空间分布信息在环境健康风险诊断、自然灾害损失评估和现场抽样调查比较等地理学和相关学科研究中占有重要的地位。目前随着对地观测技术和地理信息科学的飞速发展,如何精确地进行人口数据空间化成为了研究的难点和热点。针对采用传统方法解决人口空间化问题所遇到的困难和不足,设计了遗传规划(geneticprogramming,GP)、遗传算法(geneticalgorithms,GA)和GIS相结合的方法,以GIS确定量化影响因子权重,以GP建立模型结构,以GA优化模型参数,成功建立研究区—山西省和顺县的人口数据格网分布表面。实验证明与传统建模方法(如逐步回归分析模型和重力模型)相比,所提方法建模过程更为智能化与自动化,模型结构更为灵活多样,而且数据拟合精度更高。
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