为了明确区域风险源的空间分布及生产安全事故的空间相关性,探索区域生产安全事故的时空演变规律。以四大经济区划分下我国国内(不含港澳台,下同)的31个省(自治区、直辖市)2005—2020年的面板数据作为研究样本,通过多种时空特征分析方...为了明确区域风险源的空间分布及生产安全事故的空间相关性,探索区域生产安全事故的时空演变规律。以四大经济区划分下我国国内(不含港澳台,下同)的31个省(自治区、直辖市)2005—2020年的面板数据作为研究样本,通过多种时空特征分析方法可视化展示我国国内生产安全事故的时空分布特征,并运用探索性空间数据分析(exploratory spatial data analysis,ESDA)方法分析其空间相关性演化过程。研究结果表明:生产安全状况的空间分布由“高-高”集聚转为“低-低”集聚为主,事故空间分布不平衡问题显著;目前事故空间集聚稳步提高,区域差异减小,对周边地区有正面空间溢出效应,东部沿海地区通过“涓滴效应”逐步改善了周边省份和地区的生产安全状况。研究结果可为具体调整各区域生产安全状况提供参考。展开更多
This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 a...This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 and 2008 and models of exploratory spatial data analysis(ESDA) and spatial metrics,the paper conducts a quantitative analysis of the morphological pattern of rural settlements,and finds significant characteristics.First,rural settlements in Xuzhou City are significantly agglomerated in terms of their spatial distribution;meanwhile,there is significant variation in the geographical density distribution.Second,the scale of rural settlements in Xuzhou City is larger than the average in Jiangsu Province,and the histogram of the scale data is more even and more like a gamma distribution.There are a significant high-value cluster in the scale distribution,and local negative correlation between the scale and density distribution of rural settlements in Xuzhou City.Third,the morphology of rural settlements in Xuzhou City shows relative regularity with good connection and integrity,but the spatial variation of the morphology is anisotropic.Finally,according to the characteristics of density,scale,and form of rural settlements,the rural settlements of Xuzhou City are divided into three types:A high-density and point-scattered type,a low-density and cluster-like type and a mass-like and sparse type.The research findings could be used as the scientific foundation for rural planning and community rebuilding,particularly in less-developed areas.展开更多
With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°...With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°E and 38°-45°N in the northwest Pacific Ocean.This research aims to identify the spatial hot and cold spots(i.e.spatial clusters) of O.bartramii to reveal its spatial structure using commercial fishery data from2007 to 2010 collected by Chinese mainland squid-j igging fleets.A relatively strongly-clustered distribution for O.bartramii was observed using an exploratory spatial data analysis(ESDA) method.The results show two hot spots and one cold spot in 2007 while only one hot and one cold spots were identified each year from2008 to 2010.The hot and cold spots in 2007 occupied 8.2%and 5.6%of the study area,respectively;these percentages for hot and cold spot areas were 5.8%and 3.1%in 2008,10.2%and 2.9%in 2009,and 16.4%and 11.9%in 2010,respectively.Nearly half(>45%) of the squid from 2007 to 2009 reported by Chinese fleets were caught in hot spot areas while this percentage reached its peak at 68.8%in 2010,indicating that the hot spot areas are central fishing grounds.A further change analysis shows the area centered at156°E/43.5°N was persistent as a hot spot over the whole period from 2007 to 2010.Furthermore,the hot spots were mainly identified in areas with sea surface temperature(SST) in the range of 15-20℃ around warm Kuroshio Currents as well as with the chlorophyll-a(chl-a) concentration above 0.3 mg/m^3.The outcome of this research improves our understanding of spatiotemporal hotspots and its variation for O.bartramii and is useful for sustainable exploitation,assessment,and management of this squid.展开更多
数字经济与实体经济融合(以下简称数实融合)已成为中国经济发展的新动力。为探究当前中国数实融合发展的现状和区域差异,首先在剖析数实融合发展内涵及机理的基础上,从融合条件、融合应用、融合效益三个维度构建评价指标体系,其次利用...数字经济与实体经济融合(以下简称数实融合)已成为中国经济发展的新动力。为探究当前中国数实融合发展的现状和区域差异,首先在剖析数实融合发展内涵及机理的基础上,从融合条件、融合应用、融合效益三个维度构建评价指标体系,其次利用纵横向拉开档次法对中国30个省区市2013—2020年数实融合发展水平进行测度,最后结合基尼系数与探索性空间数据分析法(exploratory spatial data analysis,ESDA)研究区域间融合发展的时空差异。实证研究结果表明:近几年中国数实融合发展水平持续上升,整体具有向好的发展态势;区域间发展差异明显,发展水平从东向西依次递减,融合发展水平最高的是广东,最低的是青海;在发展过程中,融合应用能力不足是制约发展的关键原因且地域间缺乏融合互动,在空间上表现出明显的正向集聚特征。本研究从战略指引、应用强化和区域合作等方面提出对策建议,可为各部门制定数实融合发展的相关计划提供参考。展开更多
文摘为了明确区域风险源的空间分布及生产安全事故的空间相关性,探索区域生产安全事故的时空演变规律。以四大经济区划分下我国国内(不含港澳台,下同)的31个省(自治区、直辖市)2005—2020年的面板数据作为研究样本,通过多种时空特征分析方法可视化展示我国国内生产安全事故的时空分布特征,并运用探索性空间数据分析(exploratory spatial data analysis,ESDA)方法分析其空间相关性演化过程。研究结果表明:生产安全状况的空间分布由“高-高”集聚转为“低-低”集聚为主,事故空间分布不平衡问题显著;目前事故空间集聚稳步提高,区域差异减小,对周边地区有正面空间溢出效应,东部沿海地区通过“涓滴效应”逐步改善了周边省份和地区的生产安全状况。研究结果可为具体调整各区域生产安全状况提供参考。
基金Under the auspices of National Natural Science Foundation of China(No.41071116)Humanity and Social ScienceFoundation of Ministry of Education(No.09YJC790225,11YJA630008)
文摘This paper principally focuses on the morphological differences,spatial pattern and regional types of rural settlements in Xuzhou City of Jiangsu Province in China.Using satellite images of Xuzhou City taken in 2007 and 2008 and models of exploratory spatial data analysis(ESDA) and spatial metrics,the paper conducts a quantitative analysis of the morphological pattern of rural settlements,and finds significant characteristics.First,rural settlements in Xuzhou City are significantly agglomerated in terms of their spatial distribution;meanwhile,there is significant variation in the geographical density distribution.Second,the scale of rural settlements in Xuzhou City is larger than the average in Jiangsu Province,and the histogram of the scale data is more even and more like a gamma distribution.There are a significant high-value cluster in the scale distribution,and local negative correlation between the scale and density distribution of rural settlements in Xuzhou City.Third,the morphology of rural settlements in Xuzhou City shows relative regularity with good connection and integrity,but the spatial variation of the morphology is anisotropic.Finally,according to the characteristics of density,scale,and form of rural settlements,the rural settlements of Xuzhou City are divided into three types:A high-density and point-scattered type,a low-density and cluster-like type and a mass-like and sparse type.The research findings could be used as the scientific foundation for rural planning and community rebuilding,particularly in less-developed areas.
基金Supported by the National Natural Science Foundation of China(Nos.41406146,41476129)the Natural Science Foundation of Shanghai Municipality(No.13ZR1419300)+1 种基金the Research Fund for the Doctoral Program of Higher Education of China(No.20123104120002)the Shanghai Universities First-Class Disciplines Project-Fisheries(A)
文摘With the increasing effects of global climate change and fishing activities,the spatial distribution of the neon flying squid(Ommastrephes bartramii) is changing in the traditional fishing ground of 150°-160°E and 38°-45°N in the northwest Pacific Ocean.This research aims to identify the spatial hot and cold spots(i.e.spatial clusters) of O.bartramii to reveal its spatial structure using commercial fishery data from2007 to 2010 collected by Chinese mainland squid-j igging fleets.A relatively strongly-clustered distribution for O.bartramii was observed using an exploratory spatial data analysis(ESDA) method.The results show two hot spots and one cold spot in 2007 while only one hot and one cold spots were identified each year from2008 to 2010.The hot and cold spots in 2007 occupied 8.2%and 5.6%of the study area,respectively;these percentages for hot and cold spot areas were 5.8%and 3.1%in 2008,10.2%and 2.9%in 2009,and 16.4%and 11.9%in 2010,respectively.Nearly half(>45%) of the squid from 2007 to 2009 reported by Chinese fleets were caught in hot spot areas while this percentage reached its peak at 68.8%in 2010,indicating that the hot spot areas are central fishing grounds.A further change analysis shows the area centered at156°E/43.5°N was persistent as a hot spot over the whole period from 2007 to 2010.Furthermore,the hot spots were mainly identified in areas with sea surface temperature(SST) in the range of 15-20℃ around warm Kuroshio Currents as well as with the chlorophyll-a(chl-a) concentration above 0.3 mg/m^3.The outcome of this research improves our understanding of spatiotemporal hotspots and its variation for O.bartramii and is useful for sustainable exploitation,assessment,and management of this squid.
文摘数字经济与实体经济融合(以下简称数实融合)已成为中国经济发展的新动力。为探究当前中国数实融合发展的现状和区域差异,首先在剖析数实融合发展内涵及机理的基础上,从融合条件、融合应用、融合效益三个维度构建评价指标体系,其次利用纵横向拉开档次法对中国30个省区市2013—2020年数实融合发展水平进行测度,最后结合基尼系数与探索性空间数据分析法(exploratory spatial data analysis,ESDA)研究区域间融合发展的时空差异。实证研究结果表明:近几年中国数实融合发展水平持续上升,整体具有向好的发展态势;区域间发展差异明显,发展水平从东向西依次递减,融合发展水平最高的是广东,最低的是青海;在发展过程中,融合应用能力不足是制约发展的关键原因且地域间缺乏融合互动,在空间上表现出明显的正向集聚特征。本研究从战略指引、应用强化和区域合作等方面提出对策建议,可为各部门制定数实融合发展的相关计划提供参考。
