基于多源遥感数据的武汉市人口空间分布格局演化

摘要

Based on DMSP/OLS night light index and SPOT-VEGETATION dekad NDVI data, human settle-ments index ( HSI) was calculated to simulate the population spatial distribution of Wuhan City in 2000 and 2012. Then the spatial autocorrelation model was employed to discover the distribution and evolution of population from the perspectives of spatial and temporal. The results showed that:(1) Using the night light intensity estimation method can simulate Wuhan population spatial distribution fast and accurately;(2) There was a trend that rural population agglomerate to the central urban area with the feature of “high middle and low around”;(3) The spatial distribu-tion of Wuhan population demonstrated a high spatial autocorrelation characteristic. According to local autocorrela-tion analysis, areas with“high-high” feature were mainly distributed in Wuchang, Qiaokou, Jianghan, and Jiangan Districts. Besides that, this type of area expanded as time passed. At the same time, in the suburbs of Wuhan City, there were also some new population agglomeration centers.%基于DMSP/OLS夜间灯光指数和SPOT-VEGETATION逐旬NDVI数据构建人居指数,模拟武汉市2000,2012年人口空间分布。采用空间自相关模型,从时空角度分析2000—2012年武汉市人口的空间分布格局及演变规律。结果表明：①利用夜间灯光强度估算方法可快速准确模拟武汉市人口空间分布。②人口空间分布格局有向武汉市中心城区集聚的趋势,具有“中间高周围低”的特征。③武汉市人口空间分布表现出较强的空间自相关性,根据局部自相关分析,“高-高”类型区主要分布在武昌、硚口、江汉、江岸等中心区,“低-高”类型区主要出现在江河流域附近；随着时间的推移人口分布的“高-高”类型区扩大,表明武汉市人口在向中心城区聚集的过程中远城区也形成了相应的人口集聚中心。