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1.
“Geographic polarization”, the spatial concentration of “like” voting behavior, is a phenomenon closely related to “partisan polarization”, the intensification of diametrically ideological positions, is understudied, and is critical to the understanding of current American electoral behavior. To date, few studies have examined geographic polarization, and those that do have done so at the scales of regions, states, and counties. However, local influences operating within areas smaller than counties influence voting behavior and can produce geographic polarization. To address these scalar and methodological shortcomings, this research focuses on the smallest political units, precincts, using a case study of the Greater Cincinnati Metropolitan Area. Presidential election data from 1976 through 2008 were collected by precincts, analyzed using spatial statistics, and mapped to examine evolving geographic polarization over this 32-year period. The results measured at the precinct-scale, suggest an increased concentration of partisan behavior and emphasize a local residential spatial pattern of geographic polarization.  相似文献   

2.
The identification of disease clusters in space or space–time is of vital importance for public health policy and action. In the case of methicillin‐resistant Staphylococcus aureus (MRSA), it is particularly important to distinguish between community and health care‐associated infections, and to identify reservoirs of infection. 832 cases of MRSA in the West Midlands (UK) were tested for clustering and evidence of community transmission, after being geo‐located to the centroids of UK unit postcodes (postal areas roughly equivalent to Zip+4 zip code areas). An age‐stratified analysis was also carried out at the coarser spatial resolution of UK Census Output Areas. Stochastic simulation and kernel density estimation were combined to identify significant local clusters of MRSA (p<0.025), which were supported by SaTScan spatial and spatio‐temporal scan. In order to investigate local sampling effort, a spatial ‘random labelling’ approach was used, with MRSA as cases and MSSA (methicillin‐sensitive S. aureus) as controls. Heavy sampling in general was a response to MRSA outbreaks, which in turn appeared to be associated with medical care environments. The significance of clusters identified by kernel estimation was independently supported by information on the locations and client groups of nursing homes, and by preliminary molecular typing of isolates. In the absence of occupational/lifestyle data on patients, the assumption was made that an individual's location and consequent risk is adequately represented by their residential postcode. The problems of this assumption are discussed, with recommendations for future data collection.  相似文献   

3.
The abstraction, representation, and computation of entity–space relationship are keystones of geographic information science (GIS). The newly proposed spatial chromatic tessellation (SCT) provides a novel model to explore this relationship. SCT has demonstrated a variety of potential applications in GIS, such as reasoning spatial topology, point pattern analysis, and Voronoi diagrams. This study aims to theoretically investigate SCT by focusing on two aspects: (1) extending SCT to higher dimensional spaces. Results show that cells missing in lower dimensional spaces are hidden in higher dimensional spaces; (2) exploring the uniqueness of chromatic codes, particularly the chromatic codes of 2-cell and 3-cell clusters: their codes are proved to be unique. In a mathematical perspective, the observed phenomena from the above two aspects bring some new thoughts into the first law of geography and spatial heterogeneity. Based on these new understandings of entity–space relationship, SCT is replaced by spatial chromatic model (SCM) in which spaces are created by entities themselves rather than by partitioning the space preexisted. This makes a change from an absolute geographic space to a relative geographic space.  相似文献   

4.
Landmines continue to affect the lives of millions of people living in war-torn countries. One major challenge in humanitarian mine action (HMA) is finding new and integrated approaches to land release, which remains a slow and costly process. The use of geographic information systems (GIS) in HMA can improve the land release process by efficient mapping and prioritizing of landmine risk areas. This study explores the usage of aspatial and spatial regression techniques to construct a predictive geo-statistical model for landmine risk mapping in a small 160 km2 municipality in Bosnia and Herzegovina (BiH) and a large 4500 km2 region in Colombia. The first application of logistic geographically weighted regression to landmine risk mapping is presented. The results show that in the BiH study area, the effect of local parameters that influence the distribution of landmine risk varies significantly across the study area. Conversely, in the Colombia case study the effect of explanatory variables remains more homogeneous over the study area. We produced two landmine risk maps for each study area, based on aspatial and spatial regression models. Risk maps are classified into five classes, i.e. very low, low, medium, high, and very high risk. The landmine risk maps created through the usage of these innovative methodologies improve the assessment of risk and prioritization of the land release process in mine-contaminated areas, compared to existing approaches.  相似文献   

5.
上海市基础地理要素编码标准编制研究   总被引:6,自引:0,他引:6  
对以城市道路和街坊为核心的基础地理要素编码方法进行研究,克服了传统的城市基础地理要素编码方法中因人为因素造成编码在唯一性、扩展性和稳定性方面的缺陷,提出将编码内容与地理要素的地理位置相关联,且充分体现唯一性、扩展性和稳定性的网格化城市基础地理要素编码方法。由该方法编制的覆盖上海全市的基础地理要素编码可供上海城市规划、建设与管理使用。同时为促进上海空间基础地理信息的共享和交换,推动城市GIS的开发利用创造条件。  相似文献   

6.
The relationship between two or more variables may change over the geographic space. The change can be in parameter values (e.g., regression coefficients) or even in relation forms (e.g., linear, quadratic, or exponential). Existing local spatial analysis methods often assume a relationship form (e.g., a linear regression model) for all regions and focus only on the change in parameter values. Therefore, they may not be able to discover local relationships of different forms simultaneously. This research proposes a nonparametric approach, a local entropy map, which does not assume a prior relationship form and can detect the existence of multivariate relationships regardless of their forms. The local entropy map calculates an approximation of the Rényi entropy for the multivariate data in each local region (in the geographic space). Each local entropy value is then converted to a p-value by comparing to a distribution of permutation entropy values for the same region. All p-values (one for each local region) are processed by several statistical tests to control the multiple-testing problem. Finally, the testing results are mapped and allow analysts to locate and interactively examine significant local relationships. The method is evaluated with a series of synthetic data sets and a real data set.  相似文献   

7.
中国电子信息产业创新的集群网络模式与演化路径   总被引:1,自引:1,他引:1  
周灿  曹贤忠  曾刚 《地理研究》2019,38(9):2212-2225
流空间背景下,多空间尺度网络耦合对创新至关重要已达成学界共识。综合运用区位熵与社会网络分析,识别32个电子信息产业集群,进而基于1985—2015年合作申请发明专利数据,运用卡方检验和Infomap社区发现算法,借助Pajek和ArcGIS等软件,揭示中国电子信息产业创新合作空间模式,探讨创新网络空间组织演化规律。结果表明:① 中国电子信息产业创新合作呈现集群互联的模式,集群区域的创新主体更倾向于同本地和其他集群区域的创新主体合作,这与非集群区域的创新主体结网方式明显不同,印证了关系经济地理学者提出的全球集群网络论断。② 集群创新网络社区的空间组织从位于集群地理边界内,本地化特征显著,演化为超越集群地理边界,呈现等级差异明显的核心-边缘层级式特征,反映出地理邻近对集群主体创新结网影响程度的动态变化。  相似文献   

8.
地理元胞自动机模型研究进展   总被引:6,自引:0,他引:6  
赵莉  杨俊  李闯  葛雨婷  韩增林 《地理科学》2016,36(8):1190-1196
元胞自动机(Cellular Automata,简称CA)是一种基于微观个体的相互作用空间离散动态模型,其强大的计算功能、固有的平行计算能力、高度动态及空间概念等特征,使它在模拟空间复杂系统的时空动态演变研究具有较强的优势。文章回顾了元胞自动机的发展历程,阐述了CA在地理学中的主要应用领域和研究进展,在此基础上,以现实世界地理实体及现代城市扩张特征为视角,分析目前CA研究所面临的问题,并对其未来的研究趋势进行了初步探讨,认为以下3个方面将是未来CA研究的热点: 利用不规则元胞及可控邻域的CA模型,对不同规则或不同邻域地理实体的模拟研究; 采用三维元胞自动机对现代城市扩张进行立体化模拟,以克服二维CA模型的缺陷; 将矢量元胞自动机模型应用于地理实体的模拟研究,进一步提高模拟精度。  相似文献   

9.
Geographic polarization arises when partisan, or like‐minded, voters live in enclaves separate from voters of differing partisan behavior. Research studies at multiple scales of analysis suggest that geographic polarization most typically occurs regarding partisan voting behavior; however, few studies have analyzed polarization with a focus on policy preferences. This research examines same‐sex marriage policy through two statewide issues that shared the presidential election ballot in 2004. The results of that presidential election and these two ballot initiatives are examined in Cincinnati, Ohio, and counties in its surrounding Metropolitan Statistical Area (MSA) in both Ohio and Kentucky. A geographically polarized relationship was found between partisan results and same‐sex marriage results. In addition, the findings suggest that despite a close link between partisan voting and issue voting on same‐sex marriage, spatial clustering (geographic polarization) was identified of those who voted differently from their fellow partisans.  相似文献   

10.
将集群识别与空间分析相结合,通过全国集群模板识别产业集群,进而利用局部空间统计方法,探测产业集群的空间布局特征。利用2008年北京市和全国经济普查数据,从产业联系的角度识别了北京市制造业集群,在此基础上进一步测度了北京市制造业集群的空间分布现状与布局特征。研究发现,北京市制造业集群主要分布在近郊区并向远郊区延伸,资源条件、政策环境、交通区位、历史因素等多种区位因子均对集群的区位选择产生影响。从总体分布来看,北京市制造业集群的空间布局存在分布比较分散、功能重叠或与区县功能定位不符等问题。未来在政策制定时,应进一步强化北京市制造业集群的空间集聚,发挥区域产业政策的引导作用,并不断依托产业园区优化集群发展环境,引导符合区县功能定位的制造业集群发展。  相似文献   

11.
In today’s world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that possesses world-class scientific and technological innovation cities maximizes the attraction of global innovation factors and wins a strategic initiative in international competition. Based on the urban zip code geodatabase, an evaluation system of urban innovation with the perspective of innovation outputs, and the spatial evolutionary mode, concerning the structure of innovation space of Shanghai and Beijing from 1991 to 2014, was developed. The results of the research indicated that the zip code geodatabase provided a new perspective for studying the evolving spatial structure of urban innovation. The resulting evaluation of the spatial structure of urban innovation using the urban zip code geodatabase established by connecting random edge points, was relatively effective. The study illustrates the value of this methodology. During the study period, the spatial structure of innovation of Shanghai and Beijing demonstrated many common features: with the increase in urban space units participating in innovation year by year, the overall gap of regional innovation outputs has narrowed, and the trend towards spatial agglomeration has strengthened. The evolving spatial structure of innovation of Shanghai and Beijing demonstrated differences between the common features during the 25 years as well: in the trend towards the suburbanization of innovation resources, the spatial structure of innovation of Shanghai evolved from a single-core to a multi-core structure. A radiation effect related to traffic arteries as spatial diffusion corridors was prominent. Accordingly, a spatial correlation effect of its innovation outputs also indicated a hollowness in the city center; the spatial structure of innovation of Beijing had a single-core oriented structure all the way. Together with the tendency for innovation resources to be agglomerated in the city center, the spatial correlation effect of innovation outputs reflected the characteristics of the evolutionary feature where “rural area encircles cities”. The innovation spatial structure of Shanghai and Beijing have intrinsic consistency with the spatial structure of their respective regions (Yangtze River Delta urban agglomeration and Beijing-Tianjin-Hebei metropolitan region), which suggested that the principle of proportional and disproportional distribution of a city-scale pattern of technological and innovational activities is closely related to its regional innovation pattern.  相似文献   

12.
Environmental change has stressed wildlife co-management systems in the Arctic because parameters are changing more rapidly than traditional scientific monitoring can accommodate. Co-management systems have also been criticized for not fully integrating harvesters into the local management of resources. These two problems can be approached through the use of spatially-defined human social units termed community clusters, which are based on the demographic or ecological units being managed. An examination of polar bear management in Nunavut Territory, Canada, shows that community clusters provide a forum to collect and analyse traditional ecological knowledge (TEK) over a geographic area that mirrors the management unit, providing detailed information of local conditions. This case study also provides examples of how instituting community clusters at a governance level provides harvesters with social space in which to develop their roles as managers, along the continuum from being powerless spectators to active, adaptive co-managers. Five steps for enhancing co-management systems through the inclusion of community clusters and their knowledge are: (1) the acceptance of TEK, science, the precautionary principle and the right of harvesters not to be constrained by overly-conservative management decisions; (2) data collection involving TEK and science, and a collaboration between the two; (3) institutionalization of community clusters for data collection; (4) institutionalization of community clusters in the management process; and (5) grass-roots initiatives to take advantage of the social space provided by the community cluster approach, in order to adapt the management to local conditions, and to effect policy changes at higher levels, so as to better meet local objectives.  相似文献   

13.
In today's world, the innovation of science and technology has become the key support for improving comprehensive national strength and changing the mode of social production and lifestyle. The country that possesses world-class scientific and technological innovation cities maximizes the attraction of global innovation factors and wins a strategic initiative in international competition. Based on the urban zip code geodatabase, an evaluation system of urban innovation with the perspective of innovation outputs, and the spatial evolutionary mode, concerning the structure of innovation space of Shanghai and Beijing from 1991 to 2014, was developed. The results of the research indicated that the zip code geodatabase provided a new perspective for studying the evolving spatial structure of urban innovation. The resulting evaluation of the spatial structure of urban innovation using the urban zip code geodatabase established by connecting random edge points, was relatively effective. The study illustrates the value of this methodology. During the study period, the spatial structure of innovation of Shanghai and Beijing demonstrated many common features: with the increase in urban space units participating in innovation year by year, the overall gap of regional innovation outputs has narrowed, and the trend towards spatial agglomeration has strengthened. The evolving spatial structure of innovation of Shanghai and Beijing demonstrated differences between the common features during the 25 years as well: in the trend towards the suburbanization of innovation resources, the spatial structure of innovation of Shanghai evolved from a single-core to a multi-core structure. A radiation effect related to traffic arteries as spatial diffusion corridors was prominent. Accordingly, a spatial correlation effect of its innovation outputs also indicated a hollowness in the city center; the spatial structure of innovation of Beijing had a single-core oriented structure all the way. Together with the tendency for innovation resources to be agglomerated in the city center, the spatial correlation effect of innovation outputs reflected the characteristics of the evolutionary feature where "rural area encircles cities". The innovation spatial structure of Shanghai and Beijing have intrinsic consistency with the spatial structure of their respective regions(Yangtze River Delta urban agglomeration and Beijing-Tianjin-Hebei metropolitan region), which suggested that the principle of proportional and disproportional distribution of a city-scale pattern of technological and innovational activities is closely related to its regional innovation pattern.  相似文献   

14.
元胞自动机的地理过程模拟机制及扩展   总被引:12,自引:5,他引:7  
罗平  耿继进  李满春  李森 《地理科学》2005,25(6):724-730
地理空间、地理梯度、地理流和空间关系是经典地理学进行地理过程分析常用的4个基本概念,元胞自动机(CA)作为复杂空间系统研究的重要工具。分析表明,其与经典地理过程分析理论具有类似地表达机制,因而能有效地进行地理过程模拟。但由于标准CA是一种更广泛抽象的空间模型,其对地理特征的描述存在一定局限,限制了其更真实地模拟地理过程的能力。论文提出了基于地理特征的CA概念模型,深圳特区土地利用演化的实证研究表明,地理特征CA概念模型具有极大的应用价值。  相似文献   

15.
发展地理学视角下欠发达地区贫困的地方分异与治理   总被引:4,自引:1,他引:4  
刘小鹏  李伟华  王鹏  王亚娟  程静  马存霞 《地理学报》2019,74(10):2108-2122
在梳理发展地理学的发展过程、基本理论、分析模式和方法的基础上,结合中国解决区域性整体贫困目标和可持续发展本地化与减贫的学术探索,构建了欠发达地区贫困的发展地理学分析框架,建立了由经济地理资本、社会地理资本、文化地理资本、生态地理资本和政治地理资本构成的“五位一体”地理资本指标体系,提出了数据处理集成方法和技术流程,系统分析欠发达地区贫困的地方分异与治理方案。实证研究显示:① 地理探测可以确定作用地方贫困的主导地理资本,各主导地理资本对贫困发生率的决定力LA, P ≥ 0.15;② 在不同主导地理资本作用下,5个单维地理资本指数及其合成的区域地理资本指数地方分异明显,存在阻隔和时滞特征;③ 贫困的地方分异可分为经济地理资本约束型、经济—社会地理资本约束型、经济—社会—生态地理资本约束型、经济—社会—文化—生态地理资本约束型4大类共7小类;④ 立足发展特征,挖掘地方动力,提出不同贫困分异类型的地方治理对策和模式。乡村振兴和2020年的减贫转向,应重视欠发达地区贫困的空间分异与空间扩散、空间整合的综合研究,为可持续发展本地化与减贫提供发展地理学解决方案。  相似文献   

16.
The classical geographic research problem of regionalization and resource allocation is most commonly tackled by means of location-allocation methods. This paper introduces the spatial-order method as an alternative for creating regions or clusters. The spatial-order method utilizes space-filling curves, also known as Peano curves, to determine the nearness or spatial order of areal units, such as counties. Given a capacity constraint, the areal units are grouped consecutively according to their spatial order values. We applied the method to create clusters of rural counties for a national sampling survey of HIV/AIDS patients in the United States. Using the criteria that each cluster had approximately 50 new AIDS cases in 1991–1993 and that contiguity of areal units was maximized, 226 clusters were created from the 1,853 rural counties or health districts. The rural clusters generated by this method have been adopted as the national rural sampling frame in the HIV Cost and Services Utilization Study (HCSUS) being undertaken by RAND. In addition to its simplicity and fast computational speed, the spatial-order method produces satisfactory results. With minor modifications, this method can be an efficient alternative to the location-allocation method for solving a wide variety of locational problems, such as routing, political districting, and facilities location and allocation. This paper also demonstrates how a classical geographic research methodology, with the enhancement of GIS, can contribute to the multidisciplinary study of a pressing societal problem in our nation.  相似文献   

17.
Tools that support public engagement with sustainability are essential for local sustainability planning. This research investigates the ability of two geographic information system (GIS)-based tools to promote discussion of sustainability in a suburban context. A local ecological footprint tool and a community environmental atlas (an environmentally themed online mapping system) were created for seven suburban boroughs of Montreal. Variations of both tools have been used to support sustainability efforts, but their use has not been widely evaluated. Working from a public participation GIS (PPGIS) framework that recognizes the powerful influence of data representation, this research uses focus groups to evaluate how well these tools address three criteria that have emerged from the literature on public engagement in sustainability: interdependency across systems, reflexivity about personal and social decision making, and interactions across spatial scales. Whereas the atlas remains advantageous for discussing local spatial specifics, it was found that the ecological footprint helped people see the interconnections among systems, integrate local and global aspects of sustainability, and reflect on the values and assumptions underlying current social and economic structures.  相似文献   

18.
Spatial variance is an important characteristic of spatial random variables. It describes local deviations from average global conditions and is thus a proxy for spatial heterogeneity. Investigating instability in spatial variance is a useful way of detecting spatial boundaries, analysing the internal structure of spatial clusters and revealing simultaneously acting geographic phenomena. Recently, a corresponding test statistic called ‘Local Spatial Heteroscedasticity’ (LOSH) has been proposed. This test allows locally heterogeneous regions to be mapped and investigated by comparing them with the global average mean deviation in a data set. While this test is useful in stationary conditions, its value is limited in a global heterogeneous state. There is a risk that local structures might be overlooked and wrong inferences drawn. In this paper, we introduce a test that takes account of global spatial heterogeneity in assessing local spatial effects. The proposed measure, which we call ‘Local Spatial Dispersion’ (LSD), adapts LOSH to local conditions by omitting global information beyond the range of the local neighbourhood and by keeping the related inferential procedure at a local level. Thereby, the local neighbourhoods might be small and cause small-sample issues. In the view of this, we recommend an empirical Bayesian technique to increase the data that is available for resampling by employing empirical prior knowledge. The usefulness of this approach is demonstrated by applying it to a Light Detection and Ranging-derived data set with height differences and by making a comparison with LOSH. Our results show that LSD is uncorrelated with non-spatial variance as well as local spatial autocorrelation. It thus discloses patterns that would be missed by LOSH or indicators of spatial autocorrelation. Furthermore, the empirical outcomes suggest that interpreting LOSH and LSD together is of greater value than interpreting each of the measures individually. In the given example, local interactions can be statistically detected between variance and spatial patterns in the presence of global structuring, and thus reveal details that might otherwise be overlooked.  相似文献   

19.
《Urban geography》2013,34(5):623-647
The primary objective of this study is to examine if minorities, the poor, and non-homeowners have a higher potential for exposure than the general population to large-quantity hazardous waste generation in Bexar County, Texas. Results indicate that this is indeed the case: people living near the generators are more often Black non-Hispanic or Hispanic, and more likely to live below the poverty level and not own their own home. Although previous studies conducted in the United States have used states, counties, zip codes, or census tracts as the unit of spatial analysis, we use dasymetric mapping to create population maps at a resolution of 30 m. This allows for the reconfiguration of the areal aggregations chosen for the analysis while preserving its findings. It also reduces, if not eliminates, the effects of the Modifiable Area Unit Problem (MAUP) on the results.  相似文献   

20.
Data from the NASA'S MODIS (Aqua and Terra) and EUMETSAT'S MSG-SEVIRI satellite sensors is analysed to characterise the geographic and temporal (including diurnal) evolution of the July 2007 fire disaster in the Kingdom of Swaziland using a geographic information system (GIS). Significant fire activity was observed during a three-day period beginning on the 27th July 2007. A total of 1358 and 4365 active fire hotpots were detected by MODIS and MSG-SEVIRI, respectively, mainly concentrated in the Highveld (70.91% for MODIS, 89.89% for MSG) and Middleveld (11.27% for MODIS, 5.23% for MSG) with MSG/MODIS active fire count ratio ranging from a high of 3.69 in the Highveld to a low of 0.06 in the Lubombo Plateau. The results indicate complex differences in spatial fire distribution, behaviour and risk within the country and the effect of sensor differences. A pronounced fire diurnal cycle with a broad afternoon peak centred on 14:00 local time is observed, in general agreement with observations from the region. Despite their limitations, the study demonstrates the importance and usefulness of remotely sensed data and GIS technology for fire disaster and risk assessment for a developing country, where fire monitoring resources are scarce.  相似文献   

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