Risk identification and perception in the fisheries sector: Comparisons between the Faroes,Greece, Iceland and UK

This paper presents the findings of risk identification and risk perception research conducted in relation to the fisheries systems of four distinct and diverse European countries: Faroes, Iceland, Greece and the UK. Risk research traditionally attempts to quantify the potential threat or consequences from a range of risk events or hazards. This research, however, adopted a social sciences perspective and so assumed that a risk event or hazard can mean different things to different people and that these perceptions are also context and culturally dependent. Risk perceptions were examined and risk registers developed in each country for a range of stakeholder groups. A ‘mental modelling’ approach was adopted in a series of qualitative interviews. Findings were examined in terms of a wide range of psychological, social and cultural risk theories. Differences in risk perceptions were noted between stakeholder groups and countries and contextual influences were examined such as the widely differing fisheries management systems used in each country. This research provides one of the first attempts to systematically evaluate risks and perceptions across a range of fisheries-systems. The findings support social science theories which argue that risk is a subjective, as opposed to objective, concept and that this subjectivity will therefore affect our attempts to assess and manage those hazards we think we can potentially influence or control.     

一种基于网格的空间聚类方法在区域划分中的应用

区域划分是依据人口和社会经济指标将行政统计单元或其他地理实体划分成若干个不同水平或类别的集合。由于大多数的人口和社会经济指标来源于面状数据-行政统计单元,常用的区域划分的空间聚类方法是基于面状数据的,本文通过分析现有面状数据的聚类算法特点和不足,进而提出一种新的算法,该方法提出将面状统计单元进行网格划分,引入基于网格密度聚类算法的思想,克服现有面状聚类的诸多缺点,打破行政区划的限制,更好地发现潜在信息。     

LBQS类星体样品球空间功率谱分析

本文用球空间功率谱分析方法研究了ＬＢＱＳ类星体样品的成团性，讨论了ｑ０、边界效应、红移测量误差的影响，并与相关函数的结果进行了比较，认为本样品类星体是不成团的或极弱成团。     

Spatial and temporal trends in information technology outsourcing

Over the last two decades information technology (IT) outsourcing has grown dramatically, and has emerged as a strategic choice for firms searching for ways to control their costs and maintain a competitive edge. The mechanisms driving its growth are not fully understood though. In this research, we employ an approach that focuses on geographic, temporal, and industrial proximity in a mechanism that identifies the process underlying the diffusion of IT outsourcing across firms within the U.S from 2000 to 2010. We focus on the role that firm location plays in the diffusion process, and use space-time clustering techniques from the epidemiology literature to understand the diffusion process. We identify 38 space-time clusters based on IT outsourcing announcement data and the locations of firm headquarters among U.S.-based firms. When supplemented with additional information, such as type of services outsourced, the metropolitan area of the headquarters, and related industry information; the results offer insights into various types of diffusion processes that have been identified in the literature but have not been documented to date in the empirical manner that we have been able to do.     

A geographic perspective on intra-urban racial/ethnic diversity, segregation, and clustering in Knoxville, Tennessee: 1990-2000

Racial/ethnic diversity in the United States has increased significantly in recent decades, with minority groups now accounting for almost one-third of the total population. At the same time, growing diversity has spread into rural and non-metropolitan areas. Research suggests that changing diversity in the ‘New South’ has seen growth of non-Black communities. The question, however, is the degree to which increasing diversity equates with increasing intermixing or, alternatively, whether racial/ethnic clusters retain their prominence. This paper examines the geographic manifestations of growing racial/ethnic diversity within intra-urban context, using census-tracts as scale of analysis in the metropolitan statistical area (MSA) of Knoxville in Tennessee. The statistics used for analyzing intra-urban variations include Diversity Score, Theil Entropy Index, and Location Quotient. Tract and Block-group data for White, Black, American Indian, Asian, All Others and Hispanic are used for computing these indices. This paper concludes that diversity has increased during 1990-2000, and has dispersed into suburban counties. However, segregation and clustering for certain minority groups has also increased, in particular African-Americans still remain the most segregated and most clustered community confined to specific geographic locations. This research holds significance as local economic development patterns are very much guided by the geographic variability of human and social capital. Applied research can suggest avenues for growth and can help rebuild local communities. This paper will also contribute to literature focusing on methodological challenges in measuring diversity and its geographic manifestations.     

国家中心城市竞争力及其职能演变——基于上市企业总部的研究

国家中心城市是核心和枢纽城市,也是大企业最为集聚的地方。企业总部是企业的决策和命令中心,拥有大企业总部的数量及企业总部规模是衡量国家中心城市竞争力的重要指标。利用国内上市企业的数据,计算中国城市的控制和命令指数（简称CCI指数）,从全国尺度考察北京、上海和广州等8个国家中心城市的竞争力及其职能演化,并剖析国家中心城市总部职能的专业化格局。结果发现：北京和上海两个城市控制和支配功能要远远强于其他国家中心城市,一直位居前两位。从2005年到2014年,北京的CCI指数显著增强,且优势逐渐扩大。北京地位的显著提升很大程度上得益于金融业央企的上市和增长,这是北京作为政治中心的独特优势进一步释放的结果。而其余国家中心城市的CCI指数大多呈现下降趋势。在行业上,金融业、制造业和采矿业一直占据中国经济的主要控制与支配地位。过去10年,金融业在经济中的地位显著增强,尤其是东部大城市的金融业CCI指数普遍有大幅提升;相反,制造业和采矿业的控制与支配功能则明显减弱。对国家中心城市的分析来看,北京、上海和广州在大部分行业中都具有明显优势,属于全国性的综合型大城市。而其余5个国家中心城市的功能专业化程度较低。此外,8个国家中心城市与周边区域发展的相互联系存在明显差异,究其原因在于区域经济发展程度和城市产业发展特点。     

非户籍与户籍人口居住空间分异的多维度解析——以深圳为例

在居住空间相异指数基础上,构建了集聚—分散度、中心—边缘度和极化—均质度指数,进一步挖掘由于人口聚居形态、居住区位和居住质量等方面差异导致的居住空间分异的多维内涵,及其所揭示出的社会经济空间现象、成因及空间治理重点。利用全国第六次人口普查数据开展深圳实证研究,在计算全市及各区分维指数的基础上,分析深圳人口居住空间相异指数特征及空间尺度差异,多维居住空间分异格局特征及成因,并通过聚类分析将深圳非户籍与户籍人口居住空间分异类型划分为三类,分类提出空间治理政策建议。从而为深入理解中国大城市日益出现的居住分异现象及机制提供新鲜视角和多样化测度方法,为解决其带来的社会及空间治理问题提供更有针对性的政策建议。     

一种用于中国年最高(低)气温区划的新的聚类方法

采用聚类分析和旋转主分量分析相结合的方案,对我国年最高（低）气温的年际变化型态进行地理区划。这种两者相结合的分区方案可以互相补充,使区划更具客观性。结果表明,中国年最高气温和最低气温年际变化分别可划为12和11个不同类型的区域。对前者（高温）来说,各区域的年际差异比较大,气温变化的阶段性特征有所不同;对后者（低温）来说,各区域具有较强的增温一致性,但增温的特点和幅度存在明显区域差异。最高（低）气温和平均温度的关系在各区域是不同的。总体来说,年代际变化的一致性要好于年际变化的一致性。     

2008年盈江地震序列的震源参数和震源机制相关系数研究

基于云南数字地震台网记录的2008年盈江地震序列的数字波形资料,采用波谱分析方法和Brune震源模型,得到盈江地震序列的震源参数。利用两次地震事件的相同台站的震源谱参数（零频振幅）计算谱振幅相关系数,据此对地震的震源机制进行聚类分组,并收集和对比地震序列已知的震源机制解结果,发现每组内震源机制解P轴的相关性较好,且相关系数越大,P轴的方位角就越接近。将盈江地区划分为三个研究区,联合震源参数的应力降和聚类分组中每组的平均震源机制解结果研究地震序列发生过程中应力的释放水平和应力场方向变化特征。结果表明：不同阶段震源机制解类型的变化和转化特征一定程度上反映了孕震过程中区域应力场随时间的变化特征,并且地震震源机制解类型在时间段上的集中并向区域构造应力场方向转换的现象可能是发生强震的标志。震源机制解分组类型和对应类型的地震的应力降有一定依赖关系,震源机制解类型反映的应力场与区域应力场接近的地震应力降高,震源机制解类型反映的应力场与区域应力场差距较大的地震应力降普遍较低。     

GPU加速的改进PAM聚类算法研究与应用

空间聚类是空间数据挖掘的重要方法,而K-Medoids是一种常用的空间聚类算法。K-Medoids聚类算法存在初始点选择问题,而且计算复杂。为了提高算法的有效性和时间效率,本文结合模拟退火算法思想,改进了传统的K-Medoids算法PAM,提出一种基于GPU计算的并行模拟退火PAM算法。类比矩阵乘法运算,定义了一种新的矩阵计算方法,可以有效减少数据在GPU全局内存和共享内存之间的传输,提高了算法在GPU中的执行效率。利用模拟退火算法搜索聚类中心点,保证了聚类结果的全局最优性。基于不同的数据集,将串行和并行模拟退火PAM算法以及已有的遗传PAM算法进行比较,结果表明并行模拟退火PAM算法聚类结果正确,且时间效率高。最后,应用本文改进算法对贵州省安监系统的安全监管隐患数据进行聚类分析,发现了隐患聚集中心,相关结果对政府的决策具有一定的实际应用价值。