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作 者:邹艳[1,2] 张绍良[2] 谢译诣[2] 杜玉玲 ZOU Yan;ZHANG Shaoliang;XIE Yiyi;DU Yuling(Beijing University of City Engineering and Architecture,Beijing 102616、China;China University of Mining and Technology,Xuzhou,Jiangsu 221116,China)
机构地区:[1]北京建筑大学,北京102616 [2]中国矿业大学,江苏徐州221116
出 处:《测绘科学》2020年第7期154-162,共9页Science of Surveying and Mapping
基 金:教育部人文社会科学研究基金项目(19YJC840067);北京市社会科学研究基金项目(18SRC024)。
摘 要:针对传统三生空间识别方法数据依赖性强、计算过程复杂及三生空间评价指标繁多,指标间存在交叉、重叠等问题,该文提出了一种基于遥感影像分类与土地功能评价相结合的三生空间快速识别方法,并从扩张规模、空间分布及作用关系3个层面构建了一套三生空间演化特征的综合评价体系,对徐州市2000—2019年的三生空间分布与演化特征进行分析。结果显示:徐州还有很大的城市发展空间和潜力;徐州三生空间耦合协调度正逐年提升,但仍处于基本协调阶段,生产与生活空间协调性最差,其中,丰县和沛县的生产与生活耦合协调度最低,因此未来徐州应重点解决该地区生产与生活空间协调发展问题。According to the problem that there were the strong data dependency and the high computational complexity in production-living-ecological spaces(PLES)identification,and the overlapping and puzzled indexes in PLES evolution characters analysis,this paper presented a simple PLES identification method based on remote sensing image classification and land function evaluation,and constructed a comprehensive index system of PLES evolution characters analysis,including expansion size,space distribution and interaction relationship.The spatial distribution and evolution characters of PLES in Xuzhou city from 2000 to 2019 were analyzed.The results showed that:there were still a lot of spaces for urban development of Xuzhou in the future;The coupling coordination index of PLES was increasing year by year in Xuzhou;however,it was still in the basic coordination stage;the coordination index between production and living spaces was the lowest;The regions of lowest coordination index of production and living spaces were located in Feng county and Pei county,therefore,It should focus on the coordinated development between production and living spaces in the two counties.
分 类 号:P208[天文地球—地图制图学与地理信息工程]
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