基于物元模型的江苏省县域综合发展水平评价与区域差异研究

以物元分析理论为基础,建立指标评价体系,通过物元模型对江苏省各县(市)的综合发展水平进行测度,从3个层次对影响县域综合发展水平的因素进行评价,并应用地理加权回归模型对影响综合发展水平及其空间分布的因素进行分析.结果表明:江苏省大部分县域处于低水平及中低发展水平,且空间分布不均衡.整体上呈现"东南-西北"走势,由苏南、苏中到苏北地区,县域综合发展评价等级呈现出递减的状况.4类子系统均对区域综合发展水平有较为明显的作用,对区域综合发展水平空间分异的贡献度大体上呈现出南高北低的格局.     

中原经济区信息化水平评价

梳理信息化概念内涵,构建信息化水平分析模型,采用熵权灰色关联、系统分析法、空间相关分析等方法分析了1995-2014年中原经济区信息化水平时空特征并进行了原因解读.结果发现:中原经济区信息化水平时序上总体呈上升趋势,其中互联网普及率作用明显.空间分异上,高水平区只有核心城市郑州一个市域单元,并在洛阳与晋城形成较高水平区;较低水平区、低水平区主要集中在东部,及较高和中等水平区周围.空间关联格局总体以Low-Low区和High-High区为主,空间存在明显的集聚效应.局部空间关联格局未出现High-Low区,推断信息化高水平区未产生大面积的正向集聚效应和带动效应.信息化水平早期受科技、技术等因素限制明显,近年国家政策与扶持作用初见成效.区域之间的区位条件、信息教育和科技发展、信息基础设施建设等差异是空间格局形成的直接原因.     

江苏省乡村旅游信息化空间差异与协同发展

以江苏省205家四星级乡村旅游区为例,构建乡村旅游信息化综合评价指标,通过AHP模型确定指标权重,运用变异系数测度其空间差异,并与区域经济对比,结果表明:江苏省乡村旅游信息化空间差异显著,各要素间空间差异悬殊,乡村旅游信息化发展的差距低于区域经济.在此基础上提出江苏省乡村旅游信息化协同发展优化途径,健全管理协调机制,推动乡村信息化资源共享,协同多方力量和集聚多层次人才发展乡村旅游.     

人文地理空间及其信息时代的变化研究

区域是人文地理学研究的基石,对区域人文地理空间的认识是一个不断发展的过程.在信息化的今天,区域人文地理空间也面临着重新认识.该文分析区域人文空间的垂直构成和水平构成,回顾了区域人文地理空间的历史形态及特点,揭示和预测了在信息化背景下人文地理空间的发展态势.     

江苏省公路交通与经济发展的耦合协调

交通是人与物质流动的重要基础,深刻影响着区域经济高质量发展的水平。以江苏省13个地级市为例,借助耦合、协调模型对其公路交通与经济发展的关系进行分析,研究表明:①江苏省公路交通与经济的耦合度整体较高,局部存在波动现象,在空间上呈现显著的"南高北低"的分布格局;高度耦合城市集中分布在苏南地区,较低和低耦合城市集中分布在苏北地区,在空间上呈现出"组团式"分布特征。②江苏省公路交通与经济的协调度整体水平较低,内部差异性显著,但近十年间呈现稳步提升的态势,区域整体状况趋于良性发展。以长江为界线,江苏南部区域的协调度明显高于北部区域。③江苏省13个地级市公路交通与经济相对发展状况差异较大,总体以交通发展超前型和同步发展型为主。本研究为完善江苏省公路交通网及推动长三角区域可持续发展、加速一体化进程提供参考。     

1952-2003年我国区域经济极化趋势及其方向

以实际人均GDP为主要指标,利用多种方法,分别考察了1952-2003年我国区域经济极化及其空间方向．结果显示：1952-2003年我国区域经济极化趋势随时间推移呈交替上升与下降运动,1978-2003年极化趋势明显加强,但在1995-2003年这一趋势有所趋缓;1952-2003年我国区域经济极化主要沿东-西空间方向和低-高城镇化空间方向上进行,这说明了我国区域经济发展不均衡在东-西和城乡空间方向上存在明显的极化特征。．     

基于空间自相关的江苏省县域新型城镇化水平分析

从经济质量、基础设施、人民生活、公共服务、景观环境5个方面选取30个指标,构建出新型城镇化综合评价指标体系,运用熵值法定量评价2010年江苏省县域新型城镇化发展的综合水平,并结合GeoDA软件,运用空间自相关分析江苏省县域新型城镇化发展的总体相关性和各县市之间的空间相关性．结果表明,江苏省县域新型城镇化发展水平：1）整体上存在明显的南北差异,即苏南高于苏中,苏中高于苏北,其中苏南在5个方面均处于领先地位,而苏中在公共服务、景观环境方面相对较弱,苏北则在经济质量、基础设施、人民生活方面相对较弱;2）在空间分布上存在着相似区域之间的空间集聚特征,但仍有少部分县市的新型城镇化发展存在异质性．     

基于空间自相关的县域经济时空集聚过程研究

运用Moran’sI和Getis．OrdGf’指数,以某区县域单元为对象,选取2000-2010年人均GDP及其相对增长量为指标,对研究区经济时空集聚过程进行了分析．结果表明：（1）研究区人均GDP县域经济总体上呈现出较强的空间自相关性,且空间自相关态势在2000--2010年间逐年加强（Moran’SI从0．18增长到0．41）,区域形成了北部高经济发展水平集聚区,而南部各县市单元则组成了低经济发展水平集聚区;（2）经济增长的空间格局呈现出较强的不稳定性,但与人均GDP的演化趋势较为一致．通过研究发现Moran’S,和Getis．OrdGf＋指数能够较好透视区域经济发展格局时空演化过程,也肯定了空间自相关方法在区域经济发展规划制定中的潜在价值．     

江苏省县域老龄化空间格局及影响因素分析

以江苏省县域为研究对象,选取2000年、2010年两次人口普查数据,计算出老龄化系数(65岁及以上的老年人口数占总人口的百分比)来表征老龄化的情况,利用探索性数据分析法,研究江苏省老龄化的空间格局及其演变,并利用空间误差模型对影响因素进行解释.结果表明:在总体空间格局上,江苏省县域老龄化呈现显著的空间自相关,即老龄化系数相似的地区呈集聚分布,2000年-2010年空间集聚性有所减弱,空间异质性增强,但是集聚的空间格局并没发生太大的改变;冷热点发生了一定的迁移,2010年在苏南地区出现了冷点区域分支,这与经济热点的迁移有关;集聚格局由"南高北低"向"中间高两边低"转变;通过对影响因素的分析,人口社会基本发展因素以及出生率与老龄化呈现负相关,死亡率、受教育程度以及医疗卫生水平对老龄化起正向的积极作用,而经济发展水平对老龄化的影响在两次人口普查中有所差异.     

近10年河南省区域社会经济发展水平空间分异研究

基于经济学视角,运用加权指数模型测度河南省18地市2005-2013年区域社会经济发展水平,并探讨社会经济发展水平空间差异.结果表明:(1)研究期间河南省社会经济发展水平呈现空间集聚特征,其中空间聚集的态势在减弱,地市间差异逐渐缩小;(2)河南省社会经济发展空间二元结构未发生根本变化,其中豫西地区与豫东地区局部空间正相关显著,豫西地区是"高-高"聚集区,豫东地区是"低-低"聚集区;(3)社会经济发展水平在省域尺度上呈现非典型的中心-外围分布特征,但在区域尺度高中低发展水平呈现动态变化特征.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

正~~     

An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.