| 基于转移矩阵的高度城市化区域土地利用演变信息挖掘——以江苏省苏州市为例 |
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| 引用本文： | 乔伟峰,盛业华,方斌,王亚华.基于转移矩阵的高度城市化区域土地利用演变信息挖掘——以江苏省苏州市为例[J].地理研究,2013,32(8):1497-1507. |
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| 作者姓名： | 乔伟峰 盛业华 方斌 王亚华 |
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| 作者单位： | 1. 南京师范大学虚拟地理环境教育部重点实验室, 南京 210046;
2. 南京师范大学地理科学学院, 南京 210046 |
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| 基金项目： | 教育部人文科学研究青年基金项目，江苏高校优势学科建设工程资助项目 |
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| 摘 要： | 深入分析土地利用转移矩阵和地类转移概率矩阵,提出利用连续分时段土地利用转移矩阵求算总时段转移矩阵的方法,进而改进地类变化量和地类动态度计算模型,提出了地类转移无序度的概念、含义并构造计算模型。以苏州市为例进行实证分析,结果显示:1999-2008 年苏州市耕地的总变化量最大,其次是其它农用地和独立工矿用地;其中耕地和独立工矿用地的主导变化是净变化,而其它农用地以交换变化为主;10 年间位列各地类动态度前三位的依次为独立工矿用地、其它农用地和建制镇用地,综合动态度在2004 年和2002 年最大,1999-2001 年较低;地类转移无序度的前二位是其它农用地和交通运输用地,其它地类该值均不高,说明苏州市10 年间的土地利用演化较为有序。研究表明,基于转移矩阵的相关模型的改进和构造深入挖掘了土地利用演变信息,有利于对土地利用变化进行深入研究。
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| 关 键 词： | 转移矩阵 转移概率 土地利用演变 苏州市 |
| 收稿时间： | 2012-09-15 |
| 修稿时间： | 2013-03-15 |
Land use change information mining in highly urbanized area based on transfer matrix : A case study of Suzhou, Jiangsu Province |
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| QIAO Weifeng,SHENG Yehua,FANG Bin,WANG Yahua.Land use change information mining in highly urbanized area based on transfer matrix : A case study of Suzhou, Jiangsu Province[J].Geographical Research,2013,32(8):1497-1507. |
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| Authors: | QIAO Weifeng SHENG Yehua FANG Bin WANG Yahua |
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| Institution: | 1. Key Lab of Visual Geographic Environment Ministry of Education, Nanjing Normal University, Nanjing 210046, China;
2. School of Geography Science, Nanjing Normal University, Nanjing 210046, China |
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| Abstract: | This paper makes a deep analysis of land use transfer matrix and transfer probability matrix. It puts forward that consecutive time periods of land use transfer matrix can be used to calculate the total time periods of the transfer matrix, also improves the calculation method of land use change and the computational model of land use dynamic degree, further proposes the concept of land use transfer disorder degree and constructs the computational model. Taking Suzhou as an example, this study conducts an empirical analysis of the above models. The results show that: from 1999 to 2008, the total change of cultivated land is the largest, followed by the other agricultural land, independent industrial and mining land. In the composition of the total change, the major change of cultivated land and independent industrial and mining land is the net change, while the major change of the other agricultural land is the swap change. In this decade, the top three of land use dynamic degree are independent industrial and mining land, agricultural land and town land, total dynamic degree is the highest in 2004 and 2002, and less from 1999 to 2001. The top two of land use transfer disorder degree are the other agricultural land and transportation land and the values of other land use types are low. This can reflect that 10 years'' land use in Suzhou is in an orderly evolution process. The results show that the improvements and construction of model based on the transfer matrix can explore the information of land use evolution, and also be more conducive to the research of land use changes. |
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| Keywords: | transfer matrix transfer probability land use change Suzhou |
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