首页 | 本学科首页   官方微博 | 高级检索  
     检索      

土地利用现状图缩编中的图斑选取及其实现
引用本文:赵骏武,赵晓霞,张宇航,白文兵,苏佳,王昊宇.土地利用现状图缩编中的图斑选取及其实现[J].科技资讯,2014,12(18):187-190.
作者姓名:赵骏武  赵晓霞  张宇航  白文兵  苏佳  王昊宇
作者单位:中国矿业大学(北京)地球科学与测绘工程学院 北京 100083
基金项目:国土资源部公益性行业科研专项课题,中国矿业大学(北京)大学生创新训练项目
摘    要:在土地利用现状图的缩编过程中,图斑选取的方法多种多样。本文分别采用资格法和定额法,对北京市朝阳区和密云县的土地利用现状图进行1∶5万到1∶10万缩编,并对不同方法的缩编结果进行评价。通过实例研究发现,与定额法相比,采用资格法进行土地利用现状图中面状图斑的选取,不能较好地保持土地利用结构;定额法中,整体选取的定额法稳定性较高,但不能兼顾每一地类的重要程度;在保持地类结构稳定性方面,分类选取的定额法在三种方法中最优,更为有效可行,为更好地实施土地利用现状图缩编提供参考

关 键 词:地图缩编  面状图斑  选取方法

The Map Spots' selection Methods of Present Land-use Maps Generalization and its Practicing
Zhao Junwu,Zhao Xiaoxia,Zhang Yuhang,Bai Wenbing,Su Jia,Wang Haoyu.The Map Spots' selection Methods of Present Land-use Maps Generalization and its Practicing[J].Science & Technology Information,2014,12(18):187-190.
Authors:Zhao Junwu  Zhao Xiaoxia  Zhang Yuhang  Bai Wenbing  Su Jia  Wang Haoyu
Institution:Zhao Junwu Zhao Xiaoxia Zhang Yuhang Bai Wenbing Su Jia Wang Haoyu (College of Geoscience and Surveying Engineering,China University of Mining & Technology-Beijing,Beijing,100083,China)
Abstract:There are variety methods of map spots selection in present land--use map'generalization.This paper generalized the land-- use map of Chaoyang District and Miyun District of Beijing from scale 1:50 000 to scale 1:100 000 with two methods which were qualification and norm method,and evaluated their results.According to the example research,comparing to norm method,qualification can not keep land use structure good in face shape map spots selection of present land-use mop,for norm method,whole selection has higher stability,nut can not considerate to the importance of every land categorylin keeping land use structure's stability, classified selection was the best among these three methods,and was more practical,it can also provided reference for contracted complile present land--use map better.
Keywords:Cartographic Generalization  Face Shape Map Spot:selection Method
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号