基于GIS的历史自然灾害数据库设计与实现

本文提出了利用空间数据库和GIS技术整理分析方志、古籍的研究方法,结合《中国古代重大自然灾害和异常年表总集》中记载的各种自然灾害信息,采用面向对象的Geodatabase数据模型,建立了中国全区域的,多朝代的,多自然灾害要素的,带有地理特征的关系型数据库,实现了数据的统一描述与管理,并根据专题数据制作了单一灾害要素、多种灾害要素的专题地图,可视化分析了历史自然灾害的时空分异,最后将地图进行网络发布以实现数据共享。结果表明GIS有利于方志、古籍的数字化整理与分析,实现了以信息技术保护、传播和有效的利用方志资料。     

From historical map to online 3D recreation: the 1861 cadastral map of Horta (Barcelona)

The recent study and classification of over 200 cadastral maps created in the nineteenth century in Catalonia have provided a valuable source of information about the agricultural landscape country’s past, but by linking them with data recorded in tax books known as amillaramientos, it is possible to gain a better knowledge of the past. By applying this method to the 1861 cadastral map of Horta and its corresponding amillaramiento, a planimetric map showing the land use distribution in the town was created. The resulting land use map was subsequently overlaid on top of a digital elevation model to create 3D visualizations which show the altitudinal distribution of crops and other features. Finally, the article explores a way of distributing the results online, making them accessible to the public and increasing the research impact of future findings. Therefore, the method described in this article allows the systematic recreation and distribution of past landscapes by using Catalan cadastral maps of the nineteenth century, something which can help enrich the scientific knowledge of many disciplines.     

Blending Aggregation and Selection: Adapting Parallel Coordinates for the Visualization of Large Datasets

Abstract

Many of the traditional data visualization techniques, which proved to be supportive for exploratory analysis of datasets of moderate sizes, fail to fulfil their function when applied to large datasets. There are two approaches to coping with large amounts of data: data selection, when only a portion of data is displayed, and data aggregation, i.e. grouping data items and considering the groups instead of the original data. None of these approaches alone suits the needs of exploratory data analysis, which requires consideration of data on all levels: overall (considering a dataset as a whole), intermediate (viewing and comparing collective characteristics of arbitrary data subsets, or classes), and elementary (accessing individual data items). Therefore, it is necessary to combine these approaches, i.e. build a tool showing the whole set and arbitrarily defined subsets (object classes) in an aggregated way and superimposing this with a representation of arbitrarily selected individual data items.

We have achieved such a combination of approaches by modifying the technique of parallel coordinate plot. These modifications are described and analysed in the paper.     

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.     

基于历史关系数据库的时空数据库实现研究

时空数据库是研究如何存储历史和当前的时空数据,从而跟踪分析某一区域的变化,最终实现时空模型化和模拟地学过程.采用历史关系数据库模式的时空数据库可以充分利用传统时态数据库时态查询功能和GIS空间分析处理功能这些方面成熟的研究成果和现有系统,降低时空数据库建立的费用和开销.分析了采用扩展关系型时空数据库的原因,介绍了历史关系数据库模式、时态关系代数和查询语言,研究了采用历史关系数据库模式在全关系化空间数据库中组织时态信息的方法,从而实现时空数据库.以麦地轮作为例说明了采用历史关系数据库模式建立时空数据库的可行性和有效性.     

关于地理空间元数据技术发展趋势的理论探讨

随着“数字地球”、“数字中国”等的实施,地理空间元数据作为促进海量空间信息管理和共享的有力工具,其应用有了较快的发展。本文在分析我国地理空间元数据应用现状的基础上,结合地理空间元数据的应用特点,分析了地理空间元数据的标准化、互操作、自动生成等趋势是地理空间元数据发展的必然,并论述了与这些发展趋势相关的实施方法和技术,以及这些趋势之间的辩证关系。     

工业相机在历史航片数字化中的应用

航空摄影胶片作为历史档案的一种,详细地记录了城市规模、设施等地貌信息变迁.因胶片材质保质期有限,有必要将其进行数字化永久保存.传统的扫描手段效率过低,随着一亿及以上像素的工业级别相机的诞生,使得拍照代替扫描成为可能.本文采用自行制作高精度大幅面胶片翻拍仪,通过精确校检获取准确改正参数,并结合计算机后处理,完成了昆明市2...     

刍议《重庆历史地图集》第二卷的编制

以《重庆历史地图集》第二卷编制的具体情况为例,对图集的开本设计、内容结构设计、封面和版式设计、整体设计、创新源,以及图集编制取得的经验进行了论述,为以后类似图集的编制提供参考。     

南粤古驿道历史建筑数字化保护与VR场景构建

南粤古驿道遗留了众多文化遗产,具有较高的历史、艺术、科学价值,但历史建筑损坏较为严重.为推进南粤古驿道活化利用,本文采用精细三维建模技术与虚拟现实(VR)技术实现了南粤古驿道的数字化保护.首先对南粤古驿道遗址进行了分析,然后从数据采集、点云数据处理、几何模型加工、纹理贴图等方面阐述对历史遗迹进行精细三维建模和VR场景构...     

长株潭地区建设用地扩张遥感时空特征分析

利用遥感、GIS一体化技术,获取长沙、株洲、湘潭3市(长株潭地区)2000年、2005年和2010年3期陆地卫星图像,提取建设用地扩张及其空间分布信息。运用扩张速度指数和强度指数分别对2000—2010年间10 a变化以及2005年为界的前后两个5 a区域建设用地时序特征进行分析;利用优势度指数分析了区域建设用地扩张的空间趋向性。结果表明:长株潭地区建设用地在不同时期都处于增长的趋势,其中前5 a建设用地扩张速度和强度都要明显高于后5 a。2000—2010年间建设用地面积增加约3.94万hm2,前后2个时期的扩张面积分别占增加总量的57.30%和42.70%。对长株潭地区建设用地扩张进行时空特征分析,认为建设用地扩张引起区域内耕地和林地在数量和空间格局上的变化,城区周围9~12 km范围内耕地极易转入建设用地;2个时期河流附近耕地流入建设用地随距离变化而呈现不同特征;前5 a城区周围林地转入建设用地强度大,距离交通用地3 km附近的林地易转入建设用地。