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基于ArcGIS的土地利用数据缩编方法及其质量评价研究 被引量:2

Research on Technology about Map Generalization of Land Using Data Based on ArcG IS and Its Quality Evaluation
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摘要 由于不同的空间数据分析项目,所需要的地理数据比例尺不尽相同,地图缩编能使不同比例尺数据表达的土地利用信息最大程度地保持一致。以重庆丘陵区县铜梁为例,以2012年土地变更数据为基础数据源,基于ArcG IS平台进行土地利用数据的缩编评价,对缩编数据进行从数量、布局、语义和空间自相关上的质量评价。结果表明,缩编后的土地利用数据在结构相似度、布局相似度、土地利用语义相似度、热点探测方面质量较高,方法可行。 Due to that the different spatial data analysis projects required different scales of geographic data, through the map generalization of the data investigated, large - scale maps could be converted into small - scale maps which were coincident with the requirements. The map generalization made different land using information which was expressed by different scales' data coincided with each other to the largest extent. This paper took Tongling county of Chongqing which was filled with hills as an example and used the land changing data of 2012 as the basic data to finish the land using data's map generalization and its quality's evaluation based on ArcGIS. The results showed that after the map generalization the land using data had higher quality on the structural similarity, layout similarity, semantic similarity and hot spot detection and the map generalization was feasible.
出处 《资源开发与市场》 CAS CSSCI 2015年第12期1419-1422,F0002,共5页 Resource Development & Market
基金 国家自然科学基金项目(编号:41271411) 重庆市基础与前沿研究计划项目(编号:cstc2014jcyjA 90012) 校级本科人才培养提档升级改革试点项目(编号:02020307-0021)
关键词 地图缩编 质量评价 土地利用变更数据 相似度指数 map downsizing quality evaluation land use change data similarity index
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