A New Indicator for Evaluating Spatial Concentration Based on Local Spatial Decompositions of the Gini Coefficient

Measuring spatial concentration is a key problem when studying geographical phenomena in many areas, including economic activities, atmospheric pollution, animal habitats, and so on. Two important aspects related to the measurement of spatial concentration are data variability and spatial autocorrelation. Rather than combining different indicators for each of these characteristics, this article proposes a new indicator based on the reconstruction of local spatial decompositions of the classical Gini coefficient. A Monte Carlo simulation study is conducted to evaluate the properties of the new indicator, and the results demonstrate that the indicator is highly linearly correlated with both spatial autocorrelation and data dispersion. Moreover, its elasticities to either the spatial autocorrelation or data dispersion are extremely close to 1 under various experimental circumstances. These findings indicate that the new indicator can reflect not only the absolute level of but also the change in spatial concentration effectively. Applying the indicator to the per capita gross domestic product data set for the middle reach of the Yangtze River, we also demonstrate that the new indicator and its local components are easy to implement and are useful in local spatial association analyses.     

广东省外商直接投资业绩与潜力的时空差异

回顾广东省外商直接投资历史,选取10项影响其直接投资潜力的要素指标,构建业绩指数和潜力指数进行定量分析认为:(1)广东省已经取得了很高的外商直接投资业绩,但是外商直接投资业绩指数总体上呈稳定而缓慢的下降趋势。(2)无论是潜力还是业绩,珠江三角洲的核心区域一直是广东省外商直接投资高水平区域,珠江三角洲外商直接投资分散化空间分布趋势主导了全省外商直接投资的分散化趋势。(3)广东省大部分地市外商直接投资业绩水平的增长快于潜力水平的提高,但广州、深圳和佛山等中心城市外商直接投资业绩都不同程度地滞后于潜力。     

基于MODIS数据不同荒漠植被指数的空间变化研究--以新疆三工河流域为例

通过对三工河流域的实例研究,探讨了干旱区不同下垫面荒漠植被指数的空问变化规律。采用植被信号／土壤噪音对15个植物样方数据进行对比分析,探讨了三工河流域荒漠植被指数的梯度变化及适宜性。结果表明：扇缘溢出带植被指数值最高,其次是山前丘陵带和固定沙丘,较真实地反映出了三工河流域荒漠植被的梯度变化规律;扇缘溢出带的EVI值要比NDVI值离散程度小,趋势平稳,在扇缘溢出带用EVI能更好地反映植被生长状况;山前丘陵带的NDVI值要比EVI值均匀,山前丘陵区用NDVI这一植被指数较好,扇缘溢出带和固定沙丘区用EVI要比用NDVI好。     

Immigrant groups and the local environment: socio-spatial differentiation in Czech metropolitan areas

The spatial distribution of immigrant groups is a more relevant topic now than ever before. While the study of this topic has a long tradition in the “traditional” immigration countries, it is rare in the very different context of Central and Eastern Europe, especially at the level of metropolitan areas. This study aims to address this gap by providing an analysis of the spatial distribution of various immigrant groups (defined by country of citizenship) in 17 Czech metropolitan areas, and its determinants. First, we characterize the specific situation of the Czech immigration system. Then we use cluster analysis to create a typology of neighbourhoods and compare the distribution of immigrant groups in each type of neighbourhood. Finally, we use regression analysis to examine which characteristics of the local environment are connected to concentrations of different immigrant groups. We show that the presence of foreigners remains associated with core urban areas. Some predominantly Western citizens act as gentrifiers, being associated with spacious pre-war apartments in prestigious inner-city areas, but there are also signs of suburbanization among more well-off immigrants to Czech metropolitan areas. We identify little evidence of ghettoization of immigrants into socially excluded areas.     

Conceptual design and implementation of spatial data warehouses integrating regular grids of points

ABSTRACT

Spatial online analytical processing (OLAP) and spatial data warehouse (SDW) systems are geo-business intelligence technologies that enable the analysis of huge volumes of geographic data. In the last decade, the conceptual design and implementation of SDWs that integrate spatial data, which are represented using the vector model, have been extensively investigated. However, the integration of field data (a continuous representation of spatial data) in SDWs is a recent unresolved research issue. Enhancing SDWs with field data improves the spatio-multidimensional analysis capabilities with continuity and multiresolutions. Motivated by the need for a conceptual design tool and relational online analytical processing (ROLAP) implementation, we propose a UML profile for SDWs that integrates a regular grid of points and supports continuity and multiresolutions. We also propose an efficient implementation of a ROLAP architecture.     

象山港海洋牧场示范区大型底栖生物的时空变化

根据象山港海洋牧场示范区建设前(2011年)、建设中(2012年)、建设后(2013年)对象山港全港区、邻近区、示范区11个站位,进行5个航次调查所获得的大型底栖生物的资料,对比分析建设前后大型底栖生物的时空变化。结果表明:共鉴定出大型底栖生物59种,建设后建设中建设前,优势种变化明显。大型底栖生物密度、生物量表现为:建设前建设中建设后;建设中建设后建设前。多样性指数H’、丰富度指数d均表现为:建设前建设后建设中,均匀度指数J则表现为建设中建设后建设前。多因子方差分析结果表明:建设前后,大型底栖生物种类数、栖息密度、生物多样性指数均存在显著性差异。根据群落聚类及n MDS排序分析,建设前后大型底栖生物群落组成存在明显差异,双因素相似性分析(ANOSIM)结果同时表明,群落建设前后存在显著性差异(综合检验R=0.215,P=0.004)。SIMPER分析,大型底栖生物群落的平均相似性建设前建设后建设中。根据调查站位的数据作出丰度/生物量比较曲线(ABC曲线)分析表明,建设中大型底栖生物受到了强烈的干扰,人工鱼礁投放、大型海藻移植、增殖放流会对其周围海域产生影响,但建设后扰动消失,表明随着时间的推移,海洋牧场建设过程中带来的扰动逐渐减小,并围绕鱼礁群逐渐形成新的人工生态系统。     

中国省际人口迁移的多边效应机制分析

区际人口迁移不仅与迁出地和目的地的要素特征以及距离有关,而且还受到周边迁移流的影响.基于网络自相关理论,利用"六普"省际人口迁移数据和相关统计资料,在重力模型的基础上考虑迁移流之间可能存在的几种空间依赖形式,构建中国省际迁移流的空间OD模型,初步揭示区域经济社会等因素及其空间溢出效应对省际人口迁移的影响,并就区域要素变化对整个省际人口迁移系统产生的"连锁反应"进行了模拟.结果表明:① 中国省际迁移流之间存在显著的网络自相关效应.目的地和迁出地的自相关效应皆为正,导致迁入和迁出流的空间效仿行为;迁出地和目的地周边则出现负的自相关效应,导致迁移流的空间竞争行为;② 区域经济社会等因素通过网络空间关系对周边地区产生的多边溢出效应导致迁移流在空间上集聚.其中,距离衰减效应位居各要素之首,其溢出效应进一步加剧距离的摩擦作用;对目的地而言,区域工资水平和迁移存量超过GDP的影响并产生正的溢出效应,促进周边地区吸引更多的外来人口;对迁出地而言,人口规模和迁移存量产生正的溢出效应,推动周边地区人口外迁;③ 区域要素变化潜在地对整个省际人口迁移系统产生一系列"连锁反应",震荡中心及其周边区域的迁移流波动较大.江苏省GDP增长5%的模拟结果表明,江苏迁往全国其他省份的人口数量都有不同程度地减少,而其他省份入迁人口均有所增加.相对而言,江苏周边省份的迁入或迁出流受到的波动较大,偏远省份波及较小,这是传统的重力模型所无法解释的.     

土地利用空间优化配置研究进展与展望

土地利用优化配置是实现土地可持续利用,促进区域经济快速发展和环境逐步和谐的重要途径.科学的土地利用优化配置能充分发挥土地利用潜力、提高土地聚集效应、保持土地生态系统平衡.以往的土地利用优化配置研究主要侧重土地利用数量结构的优化,却忽视了土地利用空间布局的优化.尽管土地利用数量结构是土地利用合理配置的基础,但是在地域空间上分布不当,就会限制土地利用效率的提高,影响土地资源配置的科学性和精确性.因此如何将各土地利用类型数量在地域空间上进行合理的落位,开展土地利用空间优化配置问题研究显得尤为重要.本文全面地解释了土地利用空间优化配置的概念,系统介绍了国内外土地利用空间布局的相关理论和方法,并从地理学、景观生态学、系统工程和管理学、地理信息系统及遥感和数学模型应用、社会学和政策学等理论角度,对土地利用空间优化配置的发展方向和趋势进行了展望,以期促进土地利用空间优化配置研究的创新和深化.     

区域政策、产业特性与中央企业空间布局演变

通过建立企业区位选择的“推力-拉力”模型, 本文考察了具有不同产业特性的央企在不同区域政策阶段的空间布局演化, 分析了区域政策、产业特性对央企空间布局的影响机制和影响过程。主要结论为:企业空间布局的动力来自内部推力与外部拉力, 前者由企业特征和产业特性组成, 后者由区域政策制度和区域条件组成。区域政策制度和产业特性是影响央企空间布局的主要因素。央企空间布局总体变化与区域政策的演变趋同, 但产业间存在差异。资本、资源密集型产业央企布局受区域政策和区域条件影响较强;劳动密集型产业央企布局偏好政策优惠及交通便利区域;高新技术、现代服务业央企对创新网络和社会资本等因素依赖较大, 布局受区域政策影响较弱;组织结构为区域部型、公共服务业、特殊行业的央企布局受外部拉力影响较弱。     

Influence of groundwater level change on vegetation coverage and their spatial variation in arid regions

Sampling and testing are conducted on groundwater depth and vegetation coverage in the 670 km2 of the Sangong River Basin and semi-variance function analysis is made afterwards on the data obtained by the application of geo-statistics. Results showed that the variance curve of the groundwater depth and vegetation coverage displays an exponential model. Analysis of sampling data in 2003 indicates that the groundwater depth and vegetation coverage change similarly in space in this area. The Sangong River Basin is composed of upper oasis, middle ecotone and lower sand dune. In oasis and ecotone, influenced by irrigation of the adjoining oasis, groundwater level has been raised and soil water content also increased compared with sand dune nearby, vegetation developed well. But in the lower reaches of the Sangong River Basin, because of descending of groundwater level, soil water content decreased and vegetation degenerated. From oasis to abandoned land and desert grassland, vegetation coverage and groundwater level changed greatly with significant difference respectively in spatial variation. Distinct but similar spatial variability exists among the groundwater depth and vegetation coverage in the study area, namely, the vegetation coverage decreasing (increasing) as the groundwater depth increases (decreases). This illustrates the great dependence of vegetation coverage on groundwater depth in arid regions and further implies that among the great number of factors affecting vegetation coverage in arid regions, groundwater depth turns out to be the most determinant one.