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A comprehensive framework for exploratory spatial data analysis:moran location and variance scatterplots

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international Journal of Digital Earth 2010年第2期3卷 157-186页

作者： J.G.Negreiros M.T.Painho F.J.Aguilar M.A.Aguilar institute of statistics and information Management New University of LisbonCampus de CampolideLisbon 1070-312Portugal Department of Agricultural Engineering Almerı´a UniversityAlmeria 04120Spain

A significant Geographic information science(Gis)issue is closely related to spatial autocorrelation,a burning question in the phase of information extraction from the statistical analysis of georeferenced *** present,spatial autocorrelation presents two types of measures:continuous and *** it possible to use moran’s i and the moran scatterplot with continuous data?is it possible to use the same methodology with discrete data?A particular and cumbersome problem is the choice of the spatial-neighborhood matrix(W)for points *** paper addresses these issues by introducing the concept of covariogram contiguity,where each weight is based on the variogram model for that particular dataset:(1)the variogram,whose range equals the distance with the highest moran i value,defines the weights for points separated by less than the estimated range and(2)weights equal zero for points widely separated from the variogram range *** the W matrix is computed,the moran location scatterplot is created in an iterative *** accordance with various lag distances,moran’s i is presented as a good search factor for the optimal neighborhood ***/transition regions are also *** the same time,a new Exploratory spatial Data Analysis(EsDA)tool is developed,the moran variance scatterplot,since the conventional moran scatterplot is not sensitive to neighbor *** computer-mapping framework allows the study of spatial patterns,outliers,changeover areas,and trends in an EsDA *** these tools were implemented in a free web e-Learning program for quantitative geographers called sAKWeb#(or,in the near future,***).

关键词： geocomputation exploratory spatial data analysis spatial autocorrelation moran scatterplot moran’s i variography

Geographic distribution of echinococcosis in Tibetan region of sichuan Province,China

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infectious Diseases of Poverty 2018年第1期7卷 1101-1109页

作者： Lei Liu Bing Guo Wei Li Bo Zhong Wen Yang shu-Cheng Li Qian Wang Xing Zhao Ke-Jun Xu sheng-Chao Qin Yan Huang Wen-Jie Yu Wei He sha Liao Qi Wang Department of Parasitic Diseases Sichuan Center for Disease Control and PreventionNo.6 Zhongxue RoadChengdu 610041China West China school of Public Health Sichuan UniversityNo.163rd Section of Renmin South RoadChengdu 610041China Ganzi Center for Disease Control and Prevention No.139 Lucheng South RoadGanzi Prefecture 626000China Aba Center for Disease Control and Prevention No.178 Meigu StreetAba Prefecture 624000China

Background:Echinococcosis is a parasitic zoonosis caused by Echinococcus larvae parasitism causing high *** Tibetan Region of sichuan Province is a high prevalence area for echinococcosis in *** the geographic distribution pattern is necessary for precise control and *** this study,a spatial analysis was conducted to explore the town-level epidemiology of echinococcosis in the sichuan Tibetan Region and to provide guidance for formulating regional prevention and control ***:The study was based on reported echinococcosis cases by the end of 2017,and each case was geo-coded at the town *** empirical Bayes smoothing and global spatial autocorrelation were used to detect the spatial distribution *** scan statistics were applied to examine local ***:The spatial distribution of echinococcosis in the sichuan Tibetan Region was mapped at the town level in terms of the crude prevalence rate,excess hazard and spatial smoothed prevalence *** spatial distribution of echinococcosis was non-random and clustered with the significant global spatial autocorrelation(i=0.7301,P=0.001).Additionally,five significant spatial clusters were detected through the spatial scan ***:There was evidence for the existence of significant echinococcosis clusters in the Tibetan Region of sichuan Province,*** results of this study may assist local health departments with developing better prevention strategies and prompt more efficient public health interventions.

关键词： Echinococcosis spatial autocorrelation analysis moran’s i spatial cluster analysis

spatio-temporal characteristics of regional sustainable economic growth drivers of China

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Regional sustainability 2021年第3期2卷 239-255页

作者： WANG Linchuan WU Cisheng ZHAO Xuyang LiU Duanyong ZHANG Tao school of Management Hefei University of TechnologyHefei230009China

intellectual capital(iC)has become a universal performance indicator for the socioeconomic development of countries and *** on a review ofnational intellectualcapital(NiC)and regional intellectualcapital(RiC)evaluation literature,we used the regional intellectualcapitalindicator(RiCi)as a model for China’s RiC evaluation to indirectly understand China’s potential economic growth ***,we collected statisticaldata of31 provinces(including municipalities and autonomous regions)in China from 2004 to 2016to measure RiCi and analyze its dynamic characteristics from temporal and spatial *** this paper,Delphi analysis was used to construct RiCi model,and cluster analysisand exploratory spatial data analysis were used to analyze the temporal and spatial characteristics of RiCi in *** results showedthat RiCi,which represents China’s overall economic growth drivers,increases annuallyand is consistent with economic developmentlevelduring the study *** the geo-spatial space,RiCi follows the trend of“high in the east and low in the west”,gradually decreasing from eastern to western *** structure,the shape of the radar chart of iC structure located in the eastern coastal areas is usually biased towards strong external relational capital,while that in western China is generally biased towards structural *** spatial correlation,China’s RiCi has dependence on geographical adjacent space and economic *** research can provide policy suggestions for the sustainable development of regional economy from an iC perspective.

关键词： Regional intellectual capital intellectual capital structure spatial correlation moran’s i Economic growth drivers sustainable economic growth

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中国风力发电绩效的区域差异及空间计量分析

中国电力 2022年第3期55卷 167-176页

作者：李存斌董佳华北电力大学经济与管理学院北京102206

近年来,中国的弃风现象影响了风电资源的利用率,不利于中国能源结构转型。为了有效提高风电绩效,加快能源革命的进度,对中国各省域进行差异化的区域风电发展研究。借助DEA-TOPsis模型测算风电绩效,将结果和超效率DEA模型的测算结果对比... 详细信息

近年来,中国的弃风现象影响了风电资源的利用率,不利于中国能源结构转型。为了有效提高风电绩效,加快能源革命的进度,对中国各省域进行差异化的区域风电发展研究。借助DEA-TOPsis模型测算风电绩效,将结果和超效率DEA模型的测算结果对比分析,验证了提出模型更适用于风电绩效评估,并引入空间面板模型分析风电绩效的影响因素,制定了能促进风电发展的差异化战略。研究结果表明,各省域风力发电纯技术效率整体低于规模效率,地理近邻性对中国风电发展有正向影响,目前影响中国风电绩效的主要因素是区域经济发展水平和弃风现象。为各省域风力发电运营和管理的优化提供决策参考。

关键词：风力发电绩效 DEA TOPsis moran’s i 空间面板模型

Temporal and spatial distribution characteristics in the natural plague foci of Chinese Mongolian gerbils based on spatial autocorrelation

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infectious Diseases of Poverty 2017年第1期6卷 1090-1099页

作者： Hai-Wen Du Yong Wang Da-Fang Zhuang Xiao-san Jiang state Key Laboratory of Resources and Environmental information systems Institute of Geographical Sciences and Natural Resources ResearchChinese Academy of Sciences11A Datun RoadChaoyang DistrictBeijing 100101China College of Resources and Environmental science Nanjing Agricultural UniversityNo.6 Tongwei RoadNangjing 210095China

Background:The nest flea index of Meriones unguiculatus is a critical indicator for the prevention and control of plague,which can be used not only to detect the spatial and temporal distributions of Meriones unguiculatus,but also to reveal its cluster *** research detected the temporal and spatial distribution characteristics of the plague natural foci of Mongolian gerbils by body flea index from 2005 to 2014,in order to predict plague ***:Global spatial autocorrelation was used to describe the entire spatial distribution pattern of the body flea index in the natural plague foci of typical Chinese Mongolian *** and outlier analysis and hot spot analysis were also used to detect the intensity of clusters based on geographic information system *** quantity of *** nest fleas in the sentinel surveillance sites from 2005 to 2014 and host density data of the study area from 2005 to 2010 used in this study were provided by Chinese Center for Disease Control and ***:The epidemic focus regions of the Mongolian gerbils remain the same as the hot spot regions relating to the body flea *** clustering areas possess a similar pattern as the distribution pattern of the body flea index indicating that the transmission risk of plague is relatively *** terms of time series,the area of the epidemic focus gradually increased from 2005 to 2007,declined rapidly in 2008 and 2009,and then decreased slowly and began trending towards stability from 2009 to *** the spatial change,the epidemic focus regions began moving northward from the southwest epidemic focus of the Mongolian gerbils from 2005 to 2007,and then moved from north to south in 2007 and ***:The body flea index of Chinese gerbil foci reveals significant spatial and temporal aggregation characteristics through the employing of spatial *** diversity of temporary and spatial distribution is mainly affected by seasonal vari

关键词： Geographic information system Temporal and spatial distribution spatial autocorrelation moran’s i Body fleas Plague natural focus of Mongolian gerbils China

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中国生猪生产的空间分布及其演变

统计与决策 2024年第18期40卷 138-143页

作者：郭郡郡刘玉萍西华师范大学公共政策研究院四川南充637009 西华师范大学政治学研究所四川南充637009

文章基于2000—2020年省级生猪生产数据,采用时序比较法、moran’s i、Dagum基尼系数以及社会网络分析方法,从时空变化趋势、空间分布特征和空间网络结构等方面对我国生猪生产的空间分布及其演变进行分析。结果显示:2000—2020年,我国... 详细信息

文章基于2000—2020年省级生猪生产数据,采用时序比较法、moran’s i、Dagum基尼系数以及社会网络分析方法,从时空变化趋势、空间分布特征和空间网络结构等方面对我国生猪生产的空间分布及其演变进行分析。结果显示:2000—2020年,我国整体生猪生产表现出明显的周期性波动,不同区域的生猪生产及其变化也存在一定差异;省域生猪生产呈现相似类型集聚的空间分布特征,考察期内省域生猪生产的整体差异在小幅扩大后趋于平稳,生猪生产的空间非均衡性更多体现为区域间生猪生产的差异;“山东—河南—湖南—湖北—广东”是我国最主要的生猪生产“走廊”,“走廊”上及其周边省份一直在生猪生产空间网络中居于重要节点位置,且随着“走廊”逐渐向东北和西南两个方向拓展,沿线省份在生猪生产空间网络中的中介作用不断增强。

关键词：生猪生产猪肉产量 moran’s i Dagum基尼系数社会网络分析方法

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京津冀地区林地空间变化及驱动力研究

测绘科学 2020年第9期45卷 104-110页

作者：张译杨伯钢王淼黄迎春杨旭东北京市测绘设计研究院北京100038 城市空间信息工程北京市重点实验室北京100038

为了解决京津冀地区林地变化驱动力在空间上研究不足的问题,该文利用京津冀地区1995年与2010年土地利用面板数据,分析了京津冀地区林地的空间变化特征,选取可能影响林地空间变化的因素,分析了影响林地空间变化的驱动机制。通过构建栅格... 详细信息

为了解决京津冀地区林地变化驱动力在空间上研究不足的问题,该文利用京津冀地区1995年与2010年土地利用面板数据,分析了京津冀地区林地的空间变化特征,选取可能影响林地空间变化的因素,分析了影响林地空间变化的驱动机制。通过构建栅格面积成分数据,计算测度空间相关性的moran’s i指数,检测林地变化的空间相关性,更准确提取出主要影响京津冀地区林地变化的因子。研究表明,京津冀地区林地的变化存在较强的空间相关性,且坡度、DEM、到京津冀边界的距离等与林地的空间变化呈正相关,到原有耕地、建设用地的距离与林地空间的变化呈负相关。该研究为京津冀地区林地保护政策的制定与实施提供决策依据,研究方法同时适用于全国其他地区的林地驱动力研究。

关键词：林地空间变化驱动力 moran’s i sAR模型京津冀

中国“双循环”新格局发展水平的时空分异及动态演进

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统计与决策 2024年第18期40卷 90-96页

作者：李婵娟王莹婕吕优南京邮电大学经济学院南京210023 南京大学经济学院南京210093

文章基于2003—2020年中国30个省份的数据,从内循环、外循环、内外一体化三个维度构建指标体系测度我国“双循环”新格局发展水平,利用Dagum基尼系数分解方法、Kernel密度估计方法、Markov链转移矩阵和moran’s i揭示“双循环”新格局... 详细信息

文章基于2003—2020年中国30个省份的数据,从内循环、外循环、内外一体化三个维度构建指标体系测度我国“双循环”新格局发展水平,利用Dagum基尼系数分解方法、Kernel密度估计方法、Markov链转移矩阵和moran’s i揭示“双循环”新格局发展水平的区域差异、动态演进趋势以及空间相关性。结果表明:中国“双循环”新格局发展水平和三个子系统水平整体呈上升态势;“双循环”新格局发展水平区域差异明显,且主要来源于区域间差异,东部和西部地区之间的差异最为突出“;双循环”新格局发展水平的绝对差异在波动中有所减小,且内外一体化水平极化现象较明显“;双循环”新格局发展水平具有“俱乐部趋同”的特征以及一定程度的“马太效应”,且具有鲜明的空间集聚特征。

关键词： “双循环” Dagum基尼系数 Kernel密度估计 Markov链 moran’s i

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避难场所适宜性评价及服务范围空间相关性分析

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安全与环境学报 2023年第3期23卷 694-703页

作者：吕伟韩业凡周雯楠施申亮武汉理工大学安全科学与应急管理学院武汉430070

为使应急避难场所空间布局合理,提升避难转移安置的效率,以武昌区内35个潜在避难场所为研究对象,从适宜性和服务范围双重角度探究避难场所空间分布的合理性。首先,从公众角度出发选择适宜性评价指标,然后运用熵权法与逼近理想解排序法(T... 详细信息

为使应急避难场所空间布局合理,提升避难转移安置的效率,以武昌区内35个潜在避难场所为研究对象,从适宜性和服务范围双重角度探究避难场所空间分布的合理性。首先,从公众角度出发选择适宜性评价指标,然后运用熵权法与逼近理想解排序法(Technique for Order Preference by similarity to an ideal solution,TOPsis)相结合的方法得到评价结果,最后采用双变量moran’s i进行避难场所适宜性评价与服务范围的空间关联分析,得到两者耦合空间分布特征。结果表明:目前武昌区避难场所适宜性与服务范围整体呈正相关关系且存在空间集聚现象,避难场所的适宜性受服务范围影响,但仍有部分避难场所呈负相关关系,这种关系因地而异。除此之外,提高避难场所的适宜性不能局限于增加有效面积,需要综合考虑多种影响因素。

关键词：公共安全应急避难场所空间关联分布 moran’s i 公众意愿

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