基于数据场理论的公路自然区划指标分析方法研究  

Study on Analysis Method for Highway Natural Zoning Indexes Based on Data Field Theory

作　　者：李超[1] 王玉兰 黄智焱 

机构地区：[1]山东交通学院,山东济南250023 [2]山东省交通规划设计院,山东济南250031 [3]济南城市建设投资集团有限公司,山东济南250101

出　　处：《公路交通科技》2017年第4期45-49,共5页Journal of Highway and Transportation Research and Development

基　　金：山东省自然科学基金项目(ZR2012EEL29;ZR2016EEM42);山东省高等学校科技计划项目(J16LA17)

摘　　要：为了提高公路自然区划的准确性与实用性,基于数据场理论,结合公路工程建设的实际需求,进行公路自然区划指标分析方法研究。在分析数据场基本原理的基础上,提出基于数据场理论的公路区划指标空间插值算法,详细论述了利用场强变差函数确定各样本数据权重的方法;将区划指标空间插值算法与地理基础数据和空间数据处理平台相结合,同时考虑公路工程建设需求,提出了基于数据场理论的公路区划单要素指标分析方法。利用单要素指标分析方法、反距离权重法和地统计的插值方法对施工不利日数(CLPDavg)值进行预测,对3种方法预测结果进行交叉验证。结果表明,利用基于数据场理论的单要素指标分析方法得到的公路自然区划指标分布图具有更高的精度,更符合实际。In order to improve the accuracy and practicability of highway natural zoning,based on the data field theory,combining with the actual needs of highway engineering construction,the analysis method of highway natural zoning indexes is studied.On the basis of analyzing the basic principle of data field,a spatial interpolation algorithm for highway natural zoning based on the data field theory is proposed,and the method of determining the weight of each sample data with the field intensity variation function is expounded.Combining the zoning index spatial interpolation algorithm with the geographical basic data and spatial data processing platform,at the same time,considering the demand of highway engineering construction,the single factor index analysis method based on the data field theory is put forward.The number of unfavorable days for construction（CLPDavg） is forecasted with the single factor index analysis method,inverse distance weight method and interpolation method of ground statistics to cross verify the forecast result of above 3methods.The result shows that the highway natural zoning index distribution map generated by the method of single factor index analysis based on data field theory is more accuracy and more in line with the actual situation.

关 键 词：道路工程 自然区划 空间分析 交叉验证 数据场 区划指标 

分 类 号：U411[交通运输工程—道路与铁道工程]