Based on the night light data, urban area data, and economic data of Wuhan Urban Agglomeration from 2009 to 2015, we use spatial correlation dimension, spatial self-correlation analysis and weighted standard deviation...Based on the night light data, urban area data, and economic data of Wuhan Urban Agglomeration from 2009 to 2015, we use spatial correlation dimension, spatial self-correlation analysis and weighted standard deviation ellipse to identify the general characteristics and dynamic evolution characteristics of urban spatial pattern and economic disparity pattern. The research results prove that: between 2009 and 2013, Wuhan Urban Agglomeration expanded gradually from northwest to southeast and presented the dynamic evolution features of “along the river and the road”. The spatial structure is obvious, forming the pattern of “core-periphery”. The development of Wuhan Urban Agglomeration has obvious imbalance in economic geography space, presenting the development tendency of “One prominent, stronger in the west and weaker in the east”. The contract within Wuhan Urban Agglomeration is gradually decreased. Wuhan city and its surrounding areas have stronger economic growth strength as well as the cities along The Yangtze River. However, the relative development rate of Wuhan city area is still far higher than other cities and counties.展开更多
印度近十年工业化进程发展迅速,已经完全进入了工业化建设阶段,因此及时掌握印度地区的工业化发展进程对于印度的工业化发展具有十分重要的意义。本研究基于375 m高时空分辨率的NPP-VIIRS主动式火点数据(NPP-VIIRS active fire/hotpot d...印度近十年工业化进程发展迅速,已经完全进入了工业化建设阶段,因此及时掌握印度地区的工业化发展进程对于印度的工业化发展具有十分重要的意义。本研究基于375 m高时空分辨率的NPP-VIIRS主动式火点数据(NPP-VIIRS active fire/hotpot data),利用改进的K-means时空密度分割算法,结合夜间灯光数据过滤,并叠加Google Earth高分辨率影像数据验证,形成了印度地区2012–2021年间的工业热源对象数据集。经人工验证分析,本数据集识别准确率为93.32%,与同期数据相比识别准确率、个数、颗粒度和空间重叠度有显著提升。本数据集提供了工业热源的四角经纬度、区域内火点数量、所属行政区、起止运行年份等信息,对分析印度地区的工业化进程提供了科学可靠的数据支撑,同时也为印度地区未来发展和促进中印合作提供了一定的决策支持。展开更多
文摘Based on the night light data, urban area data, and economic data of Wuhan Urban Agglomeration from 2009 to 2015, we use spatial correlation dimension, spatial self-correlation analysis and weighted standard deviation ellipse to identify the general characteristics and dynamic evolution characteristics of urban spatial pattern and economic disparity pattern. The research results prove that: between 2009 and 2013, Wuhan Urban Agglomeration expanded gradually from northwest to southeast and presented the dynamic evolution features of “along the river and the road”. The spatial structure is obvious, forming the pattern of “core-periphery”. The development of Wuhan Urban Agglomeration has obvious imbalance in economic geography space, presenting the development tendency of “One prominent, stronger in the west and weaker in the east”. The contract within Wuhan Urban Agglomeration is gradually decreased. Wuhan city and its surrounding areas have stronger economic growth strength as well as the cities along The Yangtze River. However, the relative development rate of Wuhan city area is still far higher than other cities and counties.
文摘随着“双碳”政策的提出,节能减排已成为全社会关注的重点。研究基于2010—2022年夜间灯光遥感数据,反推出武汉市的碳排放量数据,通过空间自相关模型,对武汉市碳排放空间分布特征进行了分析,基于长期能源规划替代模型(Long-range Energy Alternatives Planning System,LEAP),从居民生活、农业、工业、建筑业、第三产业、交通运输等方面对于武汉市的碳排放情况进行了定量研究,并开展了基准情景和节能情景分析,提出了针对性的策略。
