针对小尺度区域难以准确获取空间完整、时间连续的经济格网数据问题。以广西南宁市为例,第一产值基于土地利用数据采用面积权重法建模;第二、三产值基于热点(point of interest,POI)数据空间关系权重建模;最后构建2019年南宁市1 km×...针对小尺度区域难以准确获取空间完整、时间连续的经济格网数据问题。以广西南宁市为例,第一产值基于土地利用数据采用面积权重法建模;第二、三产值基于热点(point of interest,POI)数据空间关系权重建模;最后构建2019年南宁市1 km×1 km的GDP空间化密度图。研究结果表明:(1)城市POI数据与第二、三产值有较强的空间关系,R;在0.80以上;(2)将模拟值与统计值对比分析,模拟的经济统计数据精度较高,第一产值模拟精度R;为0.87;第二、三产值模拟精度R;为0.94;总产值模拟精度R;为0.92。研究结果揭示了区域内部经济变化规律,为小尺度区域经济格网化方法研究拓展新的思路。展开更多
On the basis of the absolute and relative gravity observations in North China,spatial dynamic variation of regional gravity fields is obtained. A multi-scale decomposition technique is used to separate anomalies at di...On the basis of the absolute and relative gravity observations in North China,spatial dynamic variation of regional gravity fields is obtained. A multi-scale decomposition technique is used to separate anomalies at different depths,and give some explanation to gravity variation at different time space scales. Gravity variation trends in North China are improved. Based on this result and the analysis of wavelet power spectrum,the images of the depth of wavelet approximation and detail are obtained. The results obtained are of scientific significance for the deep understanding of potential seismic risk in North China from gravity variations in different time space scales.展开更多
文摘针对小尺度区域难以准确获取空间完整、时间连续的经济格网数据问题。以广西南宁市为例,第一产值基于土地利用数据采用面积权重法建模;第二、三产值基于热点(point of interest,POI)数据空间关系权重建模;最后构建2019年南宁市1 km×1 km的GDP空间化密度图。研究结果表明:(1)城市POI数据与第二、三产值有较强的空间关系,R;在0.80以上;(2)将模拟值与统计值对比分析,模拟的经济统计数据精度较高,第一产值模拟精度R;为0.87;第二、三产值模拟精度R;为0.94;总产值模拟精度R;为0.92。研究结果揭示了区域内部经济变化规律,为小尺度区域经济格网化方法研究拓展新的思路。
基金funded by the Special Fund for Earthquake Scientific Research of China(201308004,201308009)
文摘On the basis of the absolute and relative gravity observations in North China,spatial dynamic variation of regional gravity fields is obtained. A multi-scale decomposition technique is used to separate anomalies at different depths,and give some explanation to gravity variation at different time space scales. Gravity variation trends in North China are improved. Based on this result and the analysis of wavelet power spectrum,the images of the depth of wavelet approximation and detail are obtained. The results obtained are of scientific significance for the deep understanding of potential seismic risk in North China from gravity variations in different time space scales.
