公路资产数据库的设计与可视化研究

公路资产包括基础设施及其附属设施等有形资产和相关的设备资源、人力调配等无形资产两部分。实现公路资产的数字化管理是数字交通、智慧交通的基础。本文以辽宁某县为实验区,研究提出了公路资产数据的分类体系及数据标准,基于地理信息系统(GIS)技术构建了公路资产数据库,实现了公路资产数据的可视化表达与管理,为该县公路的信息化管理奠定了坚实的地理空间数据基础,具有推广应用价值。     

智慧城市与地理信息共享平台建设——一个需要高度重视的问题

目前,我国正处于城市人口剧增的城镇化加速发展时期,同时,也面对交通堵塞、环境污染、能源紧缺等来自各方面的挑战。那么,如何破解城市发展所带来的诸多难题,实现城市可持续发展呢?建设智慧城市已成为当今世界城市发展不可逆转的历史潮流。目前,我国已有154个城市提出建设智慧城市。然而,在智慧城市建设过程中出现了值得重视的问题,即一些城市对基础地理数据、空间信息以及基础地理信息共享平台的建设认识不明确,重视不够。搭建地理信息共享平台是智慧城市建设的基础,是城市转型发展、生态文明建设、新型城镇化和治理现代化的需求,是推进“互联网+”行动和促进电子政务协调发展等方面的要求。因此,必须按照先进性、现势性、完备性、实用性等原则搭建地理信息共享平台。     

Applying VGI to collaborative research in the humanities: the case of ARTL@S

ABSTRACT

Using Artl@s as an example of a project that relies on volunteered geographic information (VGI), this article examines the specific challenges that exist, beyond those frequently discussed in general VGI systems (e.g., participants’ motivation and data quality control) in regard to sharing research data in humanities: (1) most data from the humanities is qualitative and collected from multiple data sources which are often inconsistent and unmappable; (2) data is usually interconnected with multiple relationships among different tables which creates challenges for both mapping and query functionality; (3) data is both geographical and historical. Consequently addresses that no longer exist have to be geolocated and visualized on historical basemaps and spaces must be represented diachronically; (4) the design of web map application needs to balance both sophisticated research requirements and a user-friendly interface; (5) finally contributors expect their data to be cited or acknowledged when used in other studies and users need metadata and citation information in order to reuse and repurpose datasets.

In this article, we discuss how Artl@s, a project which developed a georeferenced historical database of exhibition catalogues, addresses these challenges. Artl@s provides a case study for VGI adoption by digital humanities scholars for research data sharing, as it offers features, such as flexible batch data contribution, interrelated spatial query, automatic geolocalization of historical addresses, and data citation mechanisms.     

Modeling the environmental susceptibility of landfill sites in California

??The proper management of solid waste (SW) is a global environmental challenge. A major issue is the proper disposal of SW while balancing a wide range of criteria and working with different spatial data. In this study, we used geographic information system as a tool to perform multi-criteria decision analysis with an analytical hierarchy process to develop an environmental impact susceptibility model (EISM) for landfills. The model was applied to the state of California, USA and results are presented herein. In particular, the EISM considers factors such as geology, pedology, geomorphology, water resources, and climate as represented by 13 associated environmental indicators. The results of the EISM indicate that more than 75% of California’s territory is situated in areas with very low, low, and medium environmental impact susceptibility categories. However, in the remaining 25% of the state’s land, 61 landfills are located in the high and very high categories. These results are alarming because during the period from 2000 to 2015, these 61 landfills received approximately 308 million tons of SW, which corresponds to more than 57% of all SW disposed in California. The model results can be used toward mitigating the environmental impacts of these facilities.     

高分辨率遥感影像主干道路提取的感知编组方法

针对高分辨率遥感影像的道路提取受"同物异谱、同谱异物"干扰的问题,该文提出一种基于感知编组的高分辨率遥感影像主干道路自动提取方法:首先,使用Line Segment Detector算法提取影像中直线段信息。然后,利用高分辨率遥感影像上的道路几何特征对直线段进行感知编组;最后,经过长度约束得到道路信息。使用两景影像进行了主干道路提取实验。实验结果表明,两个实验中主干道路提取的完整率、正确率和检测质量都在96%以上。     

Applying Geography Course Projects to Issues in City Resilience and Global Connectivity

Globalization would appear to be a subject that easily could be addressed in geography classrooms, yet this is not always the case. In terms of pedagogy, many geographers are concerned whether the field has been adequately engaging various components of this topic (e.g., connectivity, core-periphery), especially in terms of making the subject matter relevant to students. This article presents the results of a recent course project situated at the intersection of city-level resilience to hazards and connectivity with the global economy, utilizing SWOT analysis. The student projects demonstrated that this comparatively simple analytical tool was a useful means for exploring and integrating key topics in globalization and urban-economic geography, while also facilitating a problem-based learning environment.     

Mapping crime harm and priority locations in New Zealand: A comparison of spatial analysis methods

Despite progress being advanced with spatial approaches to crime and crime control, the geography of crime harm has to date received little attention. The recent development of “Crime Harm Indices”, which weight crimes by an estimate of the relative harm they cause, offers an opportunity to improve on volume based spatial analysis approaches to identify where crime harm concentrates.This study aims to address this issue via the use of a Crime Harm Index (CHI) developed for New Zealand. By contrast to localized ‘harm-spotting’ analysis, we apply a census unit based approach to identify, at a macro level, the neighborhoods and wider communities suffering the highest crime harm in New Zealand. This approach enables harm to be viewed not only as a total Index but as a rate controlled for population and allows for the identification of census based sociodemographic factors which predict harm. Specifically, this paper compares the CHI with the New Zealand Priority Locations Index (PLI), an existing census unit based crime analysis tool which combines crime and demographic variables to identify communities vulnerable to crime and disorder issues.In this study CHI and PLI scores were calculated for Census Area Units (normally containing 3000–5000 population) across New Zealand. Bivariate correlations and a general linear model were used to determine the relationships between the CHI and PLI and additional population related variables. The CHI and PLI were weakly correlated, with population size and urban/rural categorization also accounting for CHI variance. Mapping techniques are used to illustrate outlier locations where the CHI and PLI differ widely and to identify location features which may assist in explaining CHI/PLI differences.This work exemplifies a novel geographic approach to the problem of crime harm with implications for resource allocation at national through to local levels. Wider implications for the theory and practice of crime and crime harm control are discussed, along with limitations of the study and areas for further research.     

基于文献计量方法的国际地理科学研究机构竞争力分析

本文利用2000-2015年WOS（Web of Science）的原始数据,以科研产出为视角,基于文献计量法,运用信息检索技术和TDA等引文分析工具,对遴选出的13个国际上具代表性的地理科学研究机构（中国科学院地理科学与资源研究所、北京大学城市与环境学院、北京师范大学地理与遥感学院、牛津大学地理与环境学院、剑桥大学地理系、伦敦大学联邦、加州大学系统、马里兰大学系统、杜伦大学地理系、伯明翰大学地理地球与环境科学学院、布里斯托大学地理科学学院、英属哥伦比亚大学地理系、国际应用系统分析研究所）的科研生产力、影响力、学科结构、国际合作力、重要成果等方面的发展现状进行了统计分析,结果显示,马里兰大学系统地理系总体学科影响力相对较强。中国科学院地理科学与资源研究所SCI&SSCI论文总数以绝对优势占居领先地位,但被引用情况却不尽人意,这也从一个侧面反映出学术影响力提升空间较大;与此同时,随着国际合作范围的扩展和国际合作能力的不断提升,该研究所的前沿开拓与创新发展力逐步走强。     

贵州省乡村贫困空间格局与形成机制分析

以贫困态势严峻、区域内部贫困差异大的贵州省为研究区,分析了贵州省区县层面乡村贫困的空间异质性和空间依赖性格局,定量测度了乡村贫困空间差异的影响因素和因素效应的空间差异性,进而归纳了贵州省乡村贫困的形成机制。结果发现,贵州省区县乡村贫困具有时空稳定性,呈现出东、南、西部高而中、北部低的“马蹄”形空间异质性格局。区县贫困存在较强的空间依赖性,“高-高”型贫困地域即空间贫困陷阱区域,集聚分布在贵州省的东南部、南部。定量模型发现,坡度、到所在市中心的距离、青少年人口占比、少数民族人口占比是导致贵州区县层面乡村贫困空间差异的显著因素,且这些因素的效应水平呈现出不同的空间模式。产业发展受限、劳动力流动性差、金融和人力资本积累不足是贵州贫困空间形成的主导机制。最后建议扶贫政策层面应将基于地方和基于人的政策相结合。     

区域碳排放转移的演变特征与结构分解及减排对策分析——以河南省为例

通过耦合投入产出分析方法和结构分解模型,探讨2002~2010年区域碳排放转移的演变特征、驱动因素及其地理源特征。研究发现：2002~2010年流出和流入河南省的贸易隐含碳排放均处于不断增加的趋势,其中流出贸易隐含碳排放主要是受外部最终需求的影响,且主要集中在中国的中部和东南部地区,而流入贸易隐含碳排放则主要是受本地最终需求和本地最终产品结构的影响最为显著,且主要来源于中国的东部、东北部和中部地区。研究还发现,为减轻贸易对区域碳排放及其减排责任的影响,开展区域合作来共同减排比单个地区独自应对更为有利,但在区域合作中各地区的获益程度可能会有所差别。