摘要
地图综合是GIS领域研究的热点问题之一,也是GIS中最需要智能化的课题之一。为了保证地图综合的数据质量,地图综合的不确定性和地图综合的数据质量问题应该在地图综合领域中受到重视。通过研究对比分析4种线要素综合算法各自的优缺点,评价曲线综合算法和对数据不确定性进行分析。使用Autodesk公司的AutoCAD平台的Object-ARX二次开发包在VC++语言平台下实现Douglas-Peucker综合算法和Li-Openshaw综合算法对地图线要素的综合;分析了目前主要的线要素综合方法的各自的特点与适用范围;通过对几种常用综合算法不确定性的分析,总结了线要素综合的不确定性的各种表现,包括原始数据保持的不确定性、阈值的不确定性与综合后数据评定指标和评定方法的不确定性等。
Map Generalization is one of the hotpot problems in GIS.It is the most imperative field for intelligence in GIS.In order to keep the quality of map generalization data,the uncertainty and data quality of map generalization should be attached importance to in map generalization.We analysis on four kinds of integrated elements of the advantages and disadvantages of each method,and comprehensive evaluation of algorithms and the uncertainty of the data.It uses AutoCAD ObjectARX tools from Autodesk Ltd,in VC＋＋ condition carry out line essential colligation on Douglas-Peucker generalization algorithm and Li-Openshaw generalization algorithm,also analyzing these methods＇s character and applying range.Generalization algorithms uncertainty is summarized by the analysis and comparison of mechanisms of some line feature generalization algorithms,the map generalization algorithm uncertainty is comprised of the origin data uncertainty,threshold uncertainty and the evaluation goal and evaluation method uncertainty etc.
出处
《东华理工大学学报（自然科学版）》
CAS
2010年第1期48-52,共5页
Journal of East China University of Technology(Natural Science)
基金
核资源与环境教育部重点实验室东华理工大学资助项目(081213)
国家自然科学基金(40874010)
江西省数字国土重点实验室开放研究基金(DLLJ200912)
关键词
地图综合
线要素综合
曲线拟合
拟合综合
数据不确定性
map generalization
line generalization
curve fit
fit generalization
data uncertainty
