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近30年江苏省土地利用时空格局演变
引用本文:吴尚.近30年江苏省土地利用时空格局演变[J].资源开发与市场,2020(3):246-251.
作者姓名:吴尚
作者单位:江苏师范大学地理测绘与城乡规划学院
基金项目:江苏师范大学2018年研究生科研创新计划项目(编号:2018YXJ051)
摘    要:采用GIS和RS技术,利用标准差椭圆、热点分析、单一土地利用动态度等方法对1990-2018年江苏土地利用的总体特征、转化趋势和时空分布变化进行研究。结果表明:①江苏以耕地、城乡工矿居民用地、水域为主要用地类型,耕地、草地、林地持续减少,城乡工矿居民用地、水域、未利用地不断增加。②减少的耕地主要转化为城乡工矿居民用地和水域,减少的林地和草地主要转化为耕地、城乡工矿居民用地和水域,新增的水域主要来源于耕地与草地。③后一个8年期变化更加活跃,且全省土地利用变化在空间上具有方向性和集中性。④政策和经济因素是造成江苏省土地利用变化的主要驱动力因子。

关 键 词:土地利用  时空变化  标准差椭圆  热点分析  驱动因素

Spatial and Temporal Changes and Land Utilization in Jiangsu Province in the past 30 years
WU Shang.Spatial and Temporal Changes and Land Utilization in Jiangsu Province in the past 30 years[J].Resource Development & Market,2020(3):246-251.
Authors:WU Shang
Institution:(College of Geography and Geomatics,Jiangsu Normal University,Xuzhou 221116,China)
Abstract:Using GIS and RS technology and methods such as standard deviation ellipse,hot spot analysis,single land use dynamics degree,etc,the overall characteristics,transformation trend and spatial and temporal distribution changes of land use in Jiangsu Province from 1990 to 2018 were studied.The results showed that:①In Jiangsu Province,cultivated land,urban and rural industrial and mining residential land and water areas were the main types of land used,and the cultivated land,grassland and forest land continued to decrease,while the urban and rural industrial and mining residents’ land,water areas and unused land were increasing.②The reduced cultivated land was mainly converted into urban and rural areas,industrial and mining areas,residential land and water areas.The reduced forest land and grassland were mainly converted into cultivated land,urban and rural industrial and mining residential land and water areas,and the newly added water areas were mainly derived from cultivated land and grassland.③The latter eight-year change was more active,and the land use change in the province was spatially directional and concentrated.④Policy and economic factors were the main driving factors for land use change in Jiangsu Province.
Keywords:land use  spatial and temporal changes  standard deviation ellipse  hot spot analysis  driven factors
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