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城市化进程中景观组成的变化表现出明显的空间分异特征,其变化速率相对较快的区位形成热点。为探索形成景观动态热点的影响因素,以江苏省南京市为研究区,采用2003、2006和2011年3期Landsat TM遥感影像,应用ArcGIS软件的空间数据叠加分析和邻域分析功能在1~3km 3个观测尺度上提取了聚落增长热点,并利用Logistic模型分析了影响热点形成的景观因子。结果表明,不同城市化时期内聚落增长热点的格局特征具有明显差异,空间分布由较为分散趋于相对集中。热点发生概率受到土地利用状况、景观区位和社会经济条件共同作用,且依赖于观测尺度。内部耕地占地率高、聚落占地率低,外围耕地占地率低、聚落占地率高的区域易成为聚落增长的热点区。聚落增长热点多形成于接近建成区和主要道路、耕地和聚落占地率较高、人均GDP较高、人口密度相对较低的区域。对于深入理解城市化进程,制定土地管理政策具有参考价值。
The changes of landscape composition in the process of urbanization show obvious spatial differentiation characteristics, and the hot spots with relatively fast changing rates form a hot spot. In order to explore the influencing factors of the formation of landscape dynamic hotspot, this paper takes Nanjing as the research area, using 3 Landsat TM remote sensing images in 2003, 2006 and 2011, applying the spatial data superposition analysis and neighborhood analysis function of ArcGIS software in 1 ~ 3km The hot spots of settlement growth were extracted from 3 observation scales, and the landscape factors affecting hot spots formation were analyzed by Logistic model. The results show that there are significant differences in the pattern of the hot spots of settlement growth in different urbanization periods, and the spatial distribution tends to be relatively concentrated by the more dispersed. The occurrence probability of hotspots is affected by land use status, landscape location and socio-economic conditions, and depends on the observation scale. The high occupation rate of arable land, low land occupation rate, low occupation rate of arable land and high occupancy rate of plots are likely to become hot spots for settlement growth. The hot spots for settlement growth are formed in areas close to the built-up areas and major roads, with ample land and cultivated land, higher per capita GDP and relatively low population density. It has a reference value for understanding the process of urbanization and formulating the land management policy.