An evaluation of ontology matching techniques on geospatial ontologies

Standardization is one of the pillars of interoperability. In this context, efforts promoted by the Open Geospatial Consortium, such as CityGML (Technical University, Berlin), a standard for exchanging three-dimensional models or urban city objects, are welcomed. However, information from other domains of interest (e.g. energy efficiency or building information modeling) is needed for tasks such as land planning, large-scale flooding analysis, or demand/supply energy simulations. CityGML allows extension in order to integrate information from other domains, but the development process is expensive because there is no way to perform it automatically. The discovery of correspondences between CityGML concepts and other domains concepts poses a significant challenge.

Ontology matching is the research field emerged from the Semantic Web to address automatic ontology integration. Using the ontology underlying CityGML and the ontologies which model other domains of interest, ontology matching would be able to find the correspondences that would permit the integration in a more automatic manner than it is done now.

In this paper, we evaluate if ontology matching techniques allow performing an automatic integration of geospatial information modeled from different viewpoints. In order to achieve this, an evaluation methodology was designed, and it was applied to the discovery of relationships between CityGML and ontologies coming from the building information modeling and Geospatial Semantic Web domains. The methodology and the results of the evaluation are presented. The best results have been achieved using string-based techniques, while matching systems give the worst precision and recall. Only in a few cases the values are over 50%, which shows the limitations when these techniques are applied to ontologies with a partial overlap.     

Automatically enhancing CityGML LOD2 models with a corresponding indoor geometry

The international standard CityGML defines five levels of detail (LODs) for 3D city models, but only the highest of these (LOD4) supports modelling the indoor geometry of a building, which must be acquired in correspondingly high detail and therefore at a high cost. Whereas simple 3D city models of the exterior of buildings (e.g. CityGML LOD2) can be generated largely automatically, and are thus now widely available and have a great variety of applications, similarly simple models containing their indoor geometries are rare.

In this paper we present two contributions: (i) the definition of a level of detail LOD2+, which extends the CityGML LOD2 specification with indoor building geometries of comparable complexity to their exterior geometries in LOD2; and more importantly (ii) a method for automatically generating such indoor geometries based on existing CityGML LOD2 exterior geometries. We validate our method by generating LOD2+ models for a subset of the Rotterdam 3D data set and visually comparing these models to their real counterparts in building blueprints and imagery from Google Street View and Bing Maps. Furthermore, we use the LOD2+ models to compute the net internal area of each dwelling and validate our results by comparing these values to the ones registered in official government data sets.     

A three-step approach of simplifying 3D buildings modeled by CityGML

CityGML (City Geography Markup Language), the OGC (Open Open Geospatial Consortium) standard on three-dimensional (3D) city modeling, is widely used in an increasing number of applications, because it models a city with rich geometrical and semantic information. The underlying building model differentiates four consecutive levels of detail (LoDs). Nowadays, most city buildings are reconstructed in LoD3, while few landmarks in LoD4. For visualization or other purposes, buildings in LoD2 or LoD1 need to be derived from LoD3 models. But CityGML does not indicate methods for the automatic derivation of the different LoDs. This article presents an approach for deriving LoD2 buildings from LoD3 models which are essentially the exterior shells of buildings without opening objects. This approach treats different semantic components of a building separately with the aim to preserve the characteristics of ground plan, roof, and wall structures as far as possible. The process is composed of three steps: simplifying wall elements, generalizing roof structures, and then reconstructing the 3D building by intersecting the wall and roof polygons. The first step simplifies ground plan with wall elements projected onto the ground. A new algorithm is developed to handle not only simple structures like parallel and rectangle shapes but also complicated structures such as non-parallel, non-rectangular shapes and long narrow angles. The algorithm for generalizing roof structure is based on the same principles; however, the calculation has to be conducted in 3D space. Moreover, the simplified polygons of roof structure are further merged and typified depending on the spatial relations between two neighboring polygons. In the third step, generalized 3D buildings are reconstructed by increasing walls in height and intersecting with roof structures. The approach has been implemented and tested on a number of 3D buildings. The experiments have verified that the 3D building can be efficiently generalized, while the characteristics of wall and roof structure can be well preserved after the simplification.     

Towards generating highly detailed 3D CityGML models from OpenStreetMap

About one decade has passed since US vice president Al Gore articulated his vision of Digital Earth (DE). Within this decade, a global multi-resolution and three-dimensional (3D) representation of the Earth, which sums up the DE vision, increasingly gained interest in both public and science. Due to the desired high resolution of the available data, highly detailed 3D city models comprise a huge part of DE and they are becoming an essential and useful tool for a range of different applications. In the past as well as at present, 3D models normally come from a range of different sources generated by professionals, such as laser scans or photogrammetry combined with 2D cadaster data. Some models are generated with semi-automated or fully automated approaches, but in most cases manual fine tuning or even manual construction from architectural plans is required. Further beyond outdoor city models, DE additionally envisages the provision of indoor information. That is, the interior structure of public or publically accessible buildings, such as airports or shopping malls, is represented and made available in 3D; however, at the moment, such models are mostly created by hand and essentially based on professional data sources. In contrast to such professional data, which is mainly captured by surveyors or companies, the last few years revealed the phenomenon of crowdsourced geodata, which receives an increasing attractiveness as an alternative data source for many Geographic Information Systems (GIS). Former research already demonstrated the power and richness of such geodata – especially OpenStreetMap (OSM) – and it has also been proved that this non-standardized, crowdsourced geodata can be combined with international standards of the Open Geospatial Consortium (OGC). For example, CityGML Level-of-Detail 1 (LoD1) and LoD2 models have already been created automatically from OSM. The research presented in this article will further continue on the automated generation of CityGML models from OpenStreetMap. Essentially, a method for the creation of highly detailed CityGML LoD4 models with interior structures will be explained. By applying the invented approach on existing OSM data, limitations and restrictions of the IndoorOSM mapping proposal, the available data and the developed approach are revealed and discussed.     

Establishing a national standard for 3D topographic data compliant to CityGML

This article describes a research project that realised a national standard for 3D geo-information. The standard was developed as part of a pilot in which more than 65 private, public and scientific organisations collaborated to analyse and push 3D developments in the Netherlands (run between March 2010 and June 2011). The 3D standard was established through several steps. First, a comparison between the existing 3D computer-aided design and GIS standards was carried out that selected the Open Geospatial Consortium (OGC) standard CityGML as the optimal 3D standard to align to. Second, the equivalent concepts in CityGML and the existing national standard for large-scale topography (Information Model Geography [IMGeo]) were identified. Third, IMGeo was extended to 3D following the principles of CityGML Application Domain Extensions. The model was tested by applying it to real data. Based on the experiences of this pilot, this article proposes a framework of guidelines and principles for extending CityGML for national purposes, deduced from the modelling experiences. This is a unique contribution since experiences on extending CityGML are new and not well described in the OGC CityGML specifications. Finally, this article presents the change requests (CRs) which have been submitted to OGC to make the CityGML standard more suited for integration with existing 2D topographic information models. The CRs were formulated based on experiences from developing this nationwide 3D standard.     

城市地下管网信息管理问题研究

随着城市信息化进程的加速,城市生活的节奏大大加快,城市供水、供电、供暖等地下管道设施的使用频率也大幅增加.各种管道纵横交错、结构复杂,这就使得城市地下管网信息的现代化管理面临严峻的考验.地下管网具有埋于地下不透明、信息量大、保存期长、要求不问断运行使用等特点,故仅靠图纸、图表等形式记录保存管网资料,并在此基础上进行的人工管理已经不能适应规模日益扩大、经济社会活动日益加快的现代城市发展的要求.针对以上问题,阐述了城市地下管网信息管理的现状,重点分析了管网信息管理的技术发展历程以及管理中存在的问题,最后对地下管网信息的管理提出了相应对策.     

Calibrating a Land Parcel Cellular Automaton (LP-CA) for urban growth simulation based on ensemble learning

The reliability of raster cellular automaton (CA) models for fine-scale land change simulations has been increasingly questioned, because regular pixels/grids cannot precisely represent irregular geographical entities and their interactions. Vector CA models can address these deficiencies due to the ability of the vector data structure to represent realistic urban entities. This study presents a new land parcel cellular automaton (LP-CA) model for simulating urban land changes. The innovation of this model is the use of ensemble learning method for automatic calibration. The proposed model is applied in Shenzhen, China. The experimental results indicate that bagging-Naïve Bayes yields the highest calibration accuracy among a set of selected classifiers. The assessment of neighborhood sensitivity suggests that the LP-CA model achieves the highest simulation accuracy with neighbor radius r = 2. The calibrated LP-CA is used to project future urban land use changes in Shenzhen, and the results are found to be consistent with those specified in the official city plan.     

城市CO2排放结构与低碳水平测度——以京津沪渝为例

在科学设计城市CO₂排放、城市低碳水平数理模型基础上,结合BP神经网络法,综合考虑各种不确定因素的影响,通过1995~2008年京津沪渝4市CO₂排放结构和低碳水平测度以及BP神经网络模型预测,可以发现:4城市CO₂排放量逐年递增,但存在较大差异;城市CO₂排放量和发展态势取决于4城市CO₂排放结构及变化;低碳水平测度结果表明4城市的经济增长仍然依赖于碳基能源消耗,但产业结构的优化升级对提高低碳水平的作用是显著的;基于BP神经网络法的短期预测比传统预测法更为合理和精确。     

北京市人口时空变化与情景预测研究

利用第五次和第六次人口普查数据,分析北京全域乡镇街道尺度人口空间变化格局特征,并借助CA-MAS模型对未来城市人口格局进行情景模拟,以期增进对北京人口时空动态的认识,为北京城市管理决策和宏观调控提供科学参考。研究表明：① 2000-2010年,北京常住人口年均增长率高达3.5%,年均增加近60万人,是同期我国人口增长最快的特大城市之一;② 北京全域人口变化在空间上具有明显的圈层式特征,集中表现为中心区人口增长几乎停滞、近郊区人口快速增长、远郊城市发展新区人口高速增长、远郊生态涵养区往往仅区县政府驻地及重点乡镇人口明显增长;③ 基于CA-MAS的情景模拟分析表明,在自发布局情景下,就业机会进一步向城市中心集聚,人口居住不断郊区化,这将增大城市的通勤压力,加剧城市交通拥堵状况,而通过调整就业参数,强化工作地居住功能的引导政策,则能在一定程度上解决城市内部空间尺度产城失衡的问题,可促进小城镇群的形成,有利于降低城市通勤压力,发挥城市的辐射和扩散作用。本文认为,为实现北京人口空间布局优化,应着力促进就业与居住相协调,推动区域间公共资源均等化,规划多中心组团发展。     

城市三维地理信息系统中三维模型的快速构建方法

大规模三维模型的快速构建一直是影响城市三维地理信息系统(3DUGIS)发展的一个重要因素.基于3DUGIS中景观模型的表达原则与分类,分别针对抽象的点、线、面状对象提出符号匹配和三角剖分的批量三维模型构建方法.这种建模方法方便、快捷、自动化程度高,可广泛应用于城市景观中地面、河流、道路、绿地、规则建筑物、地下管线等地物的三维建模.通过对上述三维模型快速构建方法的实现,验证了三维模型生成的效果和效率.     

佛山市近30年来能见度变化趋势的分析

本文分析了近30年来各季能见度≤4或10km出现时数的变化趋势。结果表明,佛山市能见度呈加速恶化的趋势。能见度的变化趋势与相对湿度关系不大,但与地面风向却有明显的关系。     

基于CA-ABM模型的福州城市用地扩张研究

以中国海西地区重要门户福州市为研究区,结合其地理位置多层次约束性条件,以地理加权回归模型作为元胞自动机(CA)层的转换规则,同时以2000-2015年多期LandsatTM/ETM+影像的城市用地情况为参照,借助GIS空间分析技术,对CA和多智能体(ABM)相耦合的城市用地扩张模型进行改进。然后利用传统的和改进后的CA-ABM模型,多角度、多层次地模拟福州市2000年、2005年、2010年、2015年城市用地扩张在微观格局上的变化。结果表明,传统的和改进后的CA-ABM模型的整体精度均在80%以上,模拟结果具有较强的可信度;改进的 CA-ABM模型模拟的点对点总体精度和Kappa系数均高于传统的CA-ABM模型,而且模拟结果更加接近实际的城市用地扩张分布情况。结论可为平衡城市化进程和合理规划城市用地提供重要的理论技术支撑。     

最优城市规模理论的发展：文献评述（英文）

伴随着大量人口在城市的集聚,经济、社会和环境遭受了前所未有的压力,最优城市规模问题逐渐引起了广泛的重视,国内外广大学者对此进行了研究,取得了丰硕的成果,因此有必要对最优城市规模的研究进行系统的梳理与总结。本文根据国际上历年来相关理论研究与实证研究,通过运用对比分析与归纳分析两种分析方法,本文详细梳理了最优城市规模的概念与理论进展,介绍了最优城市规模研究的两种经典范式,即Henry George定理与新古典分析方法,同时对各种理论与方法的优点和不足进行了比较与评述。在此基础上,本文引入了供给导向的动态模型(SOUDY模型),提出了基于可持续发展与一般均衡分析的城市最优规模模型。结果表明:(1)单纯的最优城市规模理论来自主流经济学的成本效益分析,不能克服由于生产函数相同、城市最优规模相同的缺陷;(2)作为最优城市规模的经典分析范式之一,亨利·乔治定理近年来被越来越多地用于研究最优税收和公共产品问题,并逐渐失去了与最优城市规模的理论联系;(3)新古典主义的最优城市规模分析主要包括影响最优城市规模的外部性、城市规模的均衡和最优模型、最优城镇、产品多样化和城市规模分布等三种,这类研究仍处于城市最优规模研究的主流。并且与单一的最优城市规模相比,城市规模的最优分布问题受到了更多的关注;(4)以供给为导向的动态模型能够将空间维度融入到最优城市规模的经济研究中,并且放松了城市职能与城市规模之间的约束,对现实问题的解释更有说服力。同时,一般均衡分析作为一种重要的经济研究方法,为研究最优城市规模提供了新的视角。因此,供给导向的动态模型和一般均衡分析这两种新的研究范式,在最优城市规模的分析中更值得关注。     

丝绸之路经济带陆路西北段城市体系与开放性研究

随着丝绸之路经济带建设上升为国家战略,对经济带城市等级及城市类型进行科学定位迫在眉睫。以丝绸之路经济带陆路西北段为例,运用城市流强度模型和城市生态经济位模型对研究区18个地级以上城市的城市流强度和城市生态经济位进行测度,并将二者综合,划分城市体系和城市开放性类型。结果显示:研究区城市流强度介于3.80亿~1 158.92亿元,城市流强度不仅与城市规模息息相关,城市类型也是其重要影响因素;城市生态经济位介于0.020~0.231,超过半数城市位于系统底部,主要限制性因素为经济滞后;结合城市流强度和城市生态经济位,将城市划分为4级,西安为核心城市,乌鲁木齐和兰州为副核心城市,重要节点城市5个,一般节点城市10个;创建城市开放性指数,将城市划分为开放型和内敛型,西安、乌鲁木齐等6个城市为开放型,兰州等12个城市为内敛型。     

资源环境保护下天津市用地空间增长模拟

从资源承载和生态保护的角度预测城镇土地利用变化,是实现国土空间用途管制的客观需求。以典型缺水城市天津市为研究区,采用系统动力学模型预测土地利用规模、最小成本路径法构建生态廊道和FLUS模型模拟土地利用变化等方法,分别模拟自然扩张和资源环境保护情景下天津市2035年土地利用情况。结果表明：① 资源约束条件显著制约城镇人口和建设用地的超量发展,随着资源约束增强、科技发展增速,人口和建设用地增长量随之降低,城镇GDP保持稳定增长。② 天津市重要生态廊道以南北向联系为主,东部和北部生态廊道重要性较高,部分生态廊道由于路径较长或距离建设用地较近而面临被蚕食挤压的风险。③ 水体湿地在资源环境保护情境下面积略有增长,在自然扩张情境下则延续以往不可持续的发展模式,出现向草地退化的情况,部分生态源地和廊道受到耕地侵占和建设用地扩张的影响。④ 受交通发展和京津职住分离的影响,天津市城镇建设用地增长主要发生在蓟州、武清和宝坻区。此外,在资源环境保护情景下,中心城区和滨海新区增长率较低,津南区表现出较大发展潜力。以资源环境承载约束城镇扩张,能够为国土空间规划实践提供科学引导。     

典型红壤丘陵区土地利用空间优化配置

选择具有红壤丘陵区典型特征的江西省泰和县千烟洲为研究区域,在分析当前土地利用结构并进行土地适宜性评价的基础上,依据2000年千烟洲试验站研究数据及农户调查资料,将GIS技术与线性规划模型有效地耦合起来,探讨实现典型红壤丘陵区各种具有特定数量、质量的农用土地资源在空间上最优配置的方法与技术。结果表明,优化方案从现状中牧业短缺的粮、果、林结构转化为较为完善的粮、果、牧、林结构,耕地资源利用结构也由重水轻旱、粮作为主、经作为辅的传统生产模式,转变为粮-经-饲并举的三元优化配置结构;同时,由果业和畜牧业共同支撑的优化方案的经济效益明显优于现状,在经济上更具稳定性和可持续性。     

区域双核结构模式的形成机理

双核结构模式是指在某一区域中，由区域中心城市和港口城市及其连线所组成的一种空间结构现象。它广泛存在于中国沿海和沿江地区，以及其它国家和地区中。从机理上考察，它导源于港口城市与区域中心城市的空间组合，由于兼顾了区域中心城市的居中性和港口城市的边缘性，从而可以实现区位上和功能上的互补。从形成类型看，可分为内源型和外生型2种类型的双核结构，中国和美国分别是其典型代表。对于后者，还衍生出由新旧首都构成的一种特殊的双核结构现象。双核结构的形成与流域有莫大的关系，据此可建立基于流域的双核结构形成的理想图式。流域自然条件、运输结构的改变，以及运输主通道走向等因素的综合作用，可使双核结构的形成区域由流域拓展至其它一般区域。     

Scenario simulation and landscape pattern dynamic changes of land use in the Poverty Belt around Beijing and Tianjin: A case study of Zhangjiakou city,Hebei Province

Land use/cover change has been recognized as a key component in global change and has attracted increasing attention in recent decades. Scenario simulation of land use change is an important issue in the study of land use/cover change, and plays a key role in land use prediction and policy decision. Based on the remote sensing data of Landsat TM images in 1989, 2000 and 2010, scenario simulation and landscape pattern analysis of land use change driven by socio-economic development and ecological protection policies were reported in Zhangjiakou city, a representative area of the Poverty Belt around Beijing and Tianjin. Using a CLUE-S model, along with socio-economic and geographic data, the land use simulation of four scenarios–namely, land use planning scenario, natural development scenario, ecological-oriented scenario and farmland protection scenario–were explored according to the actual conditions of Zhangjiakou city, and the landscape pattern characteristics under different land use scenarios were analyzed. The results revealed the following: (1) Farmland, grassland, water body and unused land decreased significantly during 1989–2010, with a decrease of 11.09%, 2.82%, 18.20% and 31.27%, respectively, while garden land, forestland and construction land increased over the same period, with an increase of 5.71%, 20.91% and 38.54%, respectively. The change rate and intensity of land use improved in general from 1989 to 2010. The integrated dynamic degree of land use increased from 2.21% during 1989–2000 to 3.96% during 2000–2010. (2) Land use changed significantly throughout 1989–2010. The total area that underwent land use change was 4759.14 km², accounting for 12.53% of the study area. Land use transformation was characterized by grassland to forestland, and by farmland to forestland and grassland. (3) Under the land use planning scenario, farmland, grassland, water body and unused land shrank significantly, while garden land, forestland and construction land increased. Under the natural development scenario, construction land and forestland increased in 2020 compared with 2010, while farmland and unused land decreased. Under the ecological-oriented scenario, forestland increased dramatically, which mainly derived from farmland, grassland and unused land. Under the farmland protection scenario, farmland was well protected and stable, while construction land expansion was restricted. (4) The landscape patterns of the four scenarios in 2020, compared with those in 2010, were more reasonable. Under the land use planning scenario, the landscape pattern tended to be more optimized. The landscape became less fragmented and heterogeneous with the natural development scenarios. However, under the ecological- oriented scenario and farmland protection scenario, landscape was characterized by fragmentation, and spatial heterogeneity of landscape was significant. Spatial differences in landscape patterns in Zhangjiakou city also existed. (5) The spatial distribution of land use could be explained, to a large extent, by the driving factors, and the simulation results tallied with the local situations, which provided useful information for decision-makers and planners to take appropriate land management measures in the area. The application of the combined Markov model, CLUE-S model and landscape metrics in Zhangjiakou city suggests that this methodology has the capacity to reflect the complex changes in land use at a scale of 300 m×300 m and can serve as a useful tool for analyzing complex land use driving factors.     

城市体检：空间治理机制、方法、技术的新响应

城市体检评估是促进空间治理体系和治理能力现代化水平全面提升的重要政策工具,有助于落实国家发展战略意志、提高城市综合治理水平、有效回应人民美好生活需要。总结北京已开展的体检评估实践经验,提出城市体检评估从机制、方法、技术3个维度对空间治理优化提供了新响应。机制维度,注重建章立制,形成了“监测?诊断?预警?维护”的城市体检闭环工作体系、“自评估+第三方评估+公众参与”相结合的工作模式、综合多源数据的常态化数据获取渠道,面向不同关注重点,强化体检评估结论严肃性权威性。方法维度,围绕指标体检、任务体检、领域体检3个方面建立成果体系,与总体规划统筹实施机制流程上下衔接。技术维度,积极运用多维度多层次、全要素多主体、重思辨可验证的诊断思路,不断深化城市体检评估多维诊断分析关键技术。     

生态城市空间结构优化组合模式及应用——以襄樊市为例

在回顾中外生态城市研究进展的基础上 ,提出以人为本 ,自然协调 ;因地制宜 ,规模适度 ;完善高效 ,园林绿化 ;整体协同 ,良性循环等生态城市空间结构优化组合的原则和“绿心组团网络式”城市空间结构模式。并以襄樊市为例进行实证分析。最后结论为生态城市是城市发展的必然趋势 ;构建城市发展引导机制 ,使城市建设逐步转向更加适宜人们居住的生态城市 ;“绿心组团网络式”城市空间结构是比较理想的生态城市空间结构模式之一。