Exploring Spatial Non‐Stationarity and Varying Relationships between Crash Data and Related Factors Using Geographically Weighted Poisson Regression

The spatial nature of crash data highlights the importance of employing Geographical Information Systems (GIS) in different fields of safety research. Recently, numerous studies have been carried out in safety analysis to investigate the relationships between crashes and related factors. Trip generation as a function of land use, socio‐economic, and demographic characteristics might be appropriate variables along with network characteristics and traffic volume to develop safety models. Generalized Linear Models (GLMs) describe the relationships between crashes and the explanatory variables by estimating the global and fixed coefficients. Since crash occurrences are almost certainly influenced by many spatial factors; the main objective of this study is to employ Geographically Weighted Poisson Regression (GWPR) on 253 traffic analysis zones (TAZs) in Mashhad, Iran, using traffic volume, network characteristics and trip generation variables to investigate the aspects of relationships which do not emerge when using conventional global specifications. GWPR showed an improvement in model performance as indicated by goodness‐of‐fit criteria. The results also indicated the non‐stationary state in the relationships between the number of crashes and all independent variables.     

The Role of Contextual Info‐Marks in Navigating a Virtual Rural Environment

Navigation is a task performed in both large and small scale environments. Landmarks within an environment are of great benefit to these navigational tasks, but in large rural environments such landmarks may be sparse. It has been shown that landmarks need not be purely visual and that a change in context for a feature can make it become a landmark against its surroundings (such as being provided with significant meaning). Such meaning could be added through personal experience or by informing the observer via some form of communication. To investigate the effects of providing such contextual information on navigational performance, experiments were conducted in a large rural virtual environment where the delivery method of the information was varied between onscreen and PDA display. Users were instructed to perform a route tracing navigation task. In some instances users were presented with textual information about specific locations within the environment which appeared when they were in the vicinity of the location. Both quantitative and qualitative data were collected and analyzed, with results indicating that although the actual performance in the task was not significantly improved, users felt that their performance was better and the task easier when they were presented with the contextual information.     

制造业与生产性服务业聚集及空间可分性研究——以深圳市为例

制造业和生产性服务业各自具有聚集特性,同时生产性服务业可不受制于空间约束,通过信息通信和交通运输使得与制造业在空间上具有可分性。现有产业空间可分性研究主要以定性分析为主,缺乏有效的测度指标。本文利用全局和局域Moran指数及其双变量变体,结合Moran散点图和LISA图,对深圳市的制造业和生产性服务业企业空间关联格局进行定量分析。研究表明,深圳市生产性服务业与制造业空间自相关性明显,且两者具有空间可分性,这为合理进行制造业和生产性服务业的空间规划布局提供了新思路。     

Measuring Accessibility with GIS-Tools: A Case Study of the Wild Coast of South Africa

Although most GIS-based planning support have the capacity to show the location and attributes of different places, very few GIS-based systems are able to describe adequately the degree of spatial interaction, or the geographic accessibility, between places. The Faculty of Geographical Sciences of the Utrecht University (The Netherlands) and the South African Council for Scientific and Industrial Research (CSIR), are developing a methodology to address the problem of measuring accessibility by integrating specialised GIS software (FlowMap) that measures the geographic accessibility between locations within a spatial decision support system (AccessMap). The resulting GIS-tool is applied to the Wild Coast area in South Africa. In this region a lack of accessibility to market centres is perceived as one of the major constraints of economic development in the region.     

Polygon-to-Polygon Spatial Accessibility Using Different Aggregation Approaches: A Case Study of National Forests in the US Mountain West Region

Spatial accessibility is an enduring topic of spatial analysis that is intimately tied to issues of spatial representation and scale. A variety of methods to measure accessibility have been developed with most research focusing on metropolitan‐sized spatial extents using census‐defined aggregation units and relying on vector point representation to calculate Euclidean or network distances as key ingredients in measure formulations. Less research considers broader scales where both origin and destination points are treated as polygons. This research develops alternative gravity‐based measures of polygon‐to‐polygon accessibility for a case study of county‐level accessibility to national forests in the western US. Different methods of county and forest representation are implemented using census block centroids and a lattice approach for disaggregation and re‐aggregation. Other characteristics that are analyzed include origin‐destination linkage definitions, population weighting, and distance thresholds. Correlation analysis is used to assess relationships of alternative measures with a simple percentage measure and with each other. Low correlations would suggest that measures capture different aspects of accessibility that are related to their qualitative characteristics. Results show the alternative measures to be dissimilar from the percentage measure; however, high correlations among alternative measures suggest that there is little to differentiate certain disaggregated measures in spite of their richer qualitative interpretation.     

Impacts of Positional Error on Spatial Regression Analysis: A Case Study of Address Locations in Syracuse, New York

Positional error is the error produced by the discrepancy between reference and recorded locations. In urban landscapes, locations typically are obtained from global positioning systems or geocoding software. Although these technologies have improved the locational accuracy of georeferenced data, they are not error free. This error affects results of any spatial statistical analysis performed with a georeferenced dataset. In this paper we discuss the properties of positional error in an address matching exercise and the allocation of point locations to census geography units. We focus on the error's spatial structure, and more particularly on impacts of error propagation in spatial regression analysis. For this purpose we use two geocoding sources, we briefly describe the magnitude and the nature of their discrepancies, and we evaluate the consequences that this type of locational error has on a spatial regression analysis of pediatric blood lead data for Syracuse, NY. Our findings include: (1) the confirmation of the recurrence of spatial clustering in positional error at various geographic resolutions; and, (2) the identification of a noticeable but not shockingly large impact from positional error propagation in spatial auto‐binomial regression analysis results for the dataset analyzed.     

Cartoblography: Experiments in Using and Organising the Spatial Context of Micro‐blogging

Blogs, micro‐blogs and online forums underpin a more interconnected world. People communicate ever more and are increasingly keen to explain and illustrate their lives; showing where they are and what they are doing. Desktop, online and mobile mapping landscapes have never been as rich or diverse yet this challenges cartography to adapt and remain relevant in the modern mapping world. We explore the spatial expression and potential value of micro‐blogging and Twitter as a social networking tool. Examples of “twitter maps” are reviewed that leverage the Twitter API and online map services to locate some component of the “tweet”. Scope, function and design are illustrated through development of two proof‐of‐concept map mashups that support collaborative real‐time mapping and the organisation and display of information for mass user events. Through the experiments in using and organising data in this way we demonstrate the value of “cartoblography”– a framework for mapping the spatial context of micro‐blogging.     

服务于规划编制的城乡规划空间数据建设探讨——以沈阳市规划设计研究院为例

从城乡规划空间数据目前存在的问题入手,着眼于未来规划业务对空间数据的需求,对城乡规划空间数据分类体系、数据建设标准和数据库建设的组织等进行了深入研究,试图建立一个标准统一、数据共享、技术含量高、服务于规划编制的城乡规划空间数据库,作为构建完善、优质、高效的数据管理模式与共享服务体系的基础性工作。     

农村中小学布局调整之空间可达性分析——以河南省巩义市初级中学为例

中小学布局调整是教育主管部门面临的一项重要任务,涉及教育资源的公平分配和合理利用,影响到义务教育法的落实和实施.在探讨中小学布局调整原理与方法的基础上,使用地理信息系统(GIS)技术建立人口分布、学校分布和交通条件等数据库,计算空间可达性指标,定量分析每一个居住区位学生上学的便捷程度,评估教育资源的空间分布差异,为学校布局规划提供重要的参考依据.使用比例模型、最近距离模型、机会积累模型、重力模型和改进重力模型,以巩义市初级中学为例,揭示学校分布与人口分布之间的关系,期望为农村中小学布局调整提供评估方法和规划依据.案例研究发现:农村义务教育在资源配置、最近入学距离、择校机会、供需平衡方面仍有一定的不均衡性.建议使用GIS和空间可达性指标评估中小学布局调整的公平性;进一步探索学生择校的空间规律,并使用Huff模型模拟学校与学生的最佳配置,为布局调整奠定定量分析基础.     

The Co‐evolution of Residential Segregation and the Built Environment at the Turn of the 20th Century: A Schelling Model

To what degree does the built environment of cities shape the social environment? In this article we use a Schelling‐like agent‐based model to consider how changes to the built environment of cities relate to changes in residential segregation by income and ethnicity. To develop this model we exploit insights from a high resolution historical GIS which maps 100% of the population of Newark, NJ in 1880. Newark in 1880 had a complex social landscape characterized by areas of significant social and economic segregation and areas of relative integration. We develop a Schelling model capable of reproducing these residential patterns. We use this model to explore the decentralization of housing, a specific phenomenon associated with the demise of the walking city in the late 19th century. Holding agent preferences constant, but allowing the landscape of the Schelling model to evolve in ways that reflect historical changes to the built environment, produces changes to the social landscape that are also consistent with history. Our work suggests that changes in residential segregation do not necessarily imply changes to individual attitudes and preferences. Changes in residential segregation can be generated by changes to the built environment, specifically the geographic distribution of housing.     

新农村3维地理信息系统的设计与实现——以福建省安溪县为例

根据新农村测绘保障项目的建设要求,本文结合3维GIS的特点,论述了3维GIS对新农村建设的作用,以展现农业特色产业为主线,结合新农村建设规划、农村旅游资源开发等主题,提出基于Skyline平台的新农村3维地理信息系统的建设思路,详细论述了系统的总体架构、数据设计、功能设计与运行环境设计,并介绍了在安溪县的应用情况。     

A New Combined Assessment of Mixed Uncertainty in Spatial Models: Conceptualization and Implementation

Uncertainty quantification is not often performed in spatial modeling applications, especially when there is a mixture of probabilistic and non‐probabilistic uncertainties. Furthermore, the effect of positional uncertainty is often not assessed, despite its relevance to geographical applications. Although there has been much work in investigating the aforementioned types of uncertainty in isolation, combined approaches have not been much researched. This has resulted in a lack of tools for conducting mixed uncertainty analyses that include positional uncertainty. This research addresses the issue by first presenting a new, flexible, simulation‐oriented conceptualization of positional uncertainty in geographic objects called F‐Objects. F‐Objects accommodates various representations of uncertainty, while remaining conceptually simple. Second, a new Python‐based framework is introduced, termed Wiggly and capable of conducting mixed uncertainty propagation using fuzzy Monte Carlo simulation (FMCS). FMCS combines both traditional Monte Carlo with fuzzy analysis in a so‐called hybrid approach. F‐Objects is implemented within the Wiggly framework, resulting in a tool capable of considering any combination of: (1) probabilistic variables; (2) fuzzy variables; and (3) positional uncertainty of objects (probabilistic/fuzzy). Finally, a realistic GIS‐based groundwater contamination problem demonstrates how F‐Objects and Wiggly can be used to assess the effect of positional uncertainty.     

基于地理加权模型的农村居民点空间格局及影响因子分析——以湖北省麻城市为例

以湖北省麻城市2009年和2015年农村居民点为研究对象,采用区位指数和核密度测算法对农村居民点空间分布形态进行分析,运用传统最小二乘法和地理加权模型从全域和局部角度分析自然地貌、社会经济、生态限制等因素影响农村居民点空间演变的作用机制。研究得出:麻城市2009—2015年农村居民点用地面积增长率达6.92%,斑块主要以分散式外延扩张为主,空间结构演变总体上呈现沿沪汉蓉快速铁路和武麻公路向四周扩散的连续分布特征。从全域上看,农村居民点分布格局与坡度、公路、建制镇、风景名胜区、河流呈空间负相关关系;从局部影响程度来看,最大正向影响因子为人均收入和高程,负向影响因子主要是坡度和河流,其他影响因子随地理位置变化正负向影响均存在。     

基于3DCM的中尺度地面风场的空间分析研究

为提升城市环境的生态自净能力,采用基于3DCM的中尺度综合方法建立了城市地面风场的空间分析及预测模型,并对典型区域进行了实证分析,发现中尺度地面风场可采用风道网络参数进行有效模拟和量化。     

Acceptance of open source geospatial software: Assessing QGIS in South Africa with the UTAUT2 model

Geospatial information and technologies are widely used in South Africa, initially mostly with proprietary software but today, mature, open source alternatives such as QGIS are available. We wanted to find out if and why South African users accepted QGIS, globally the most widely used free and open source GIS. We adapted the extended unified theory of acceptance and use of technology model to test several hypotheses regarding the acceptance and use of QGIS in South Africa. 205 registered members of the Geo‐Information Society of South Africa completed a structured questionnaire. Results show that habit has the most significant influence on behavioural intention to use QGIS, followed by facilitating conditions, price value and social influence. Performance expectancy, effort expectancy, hedonic motivation and access to source code played no significant role. The findings show that adoption of QGIS in South Africa is not primarily influenced by benefits attributed to open source software, such as cost benefits, customizability, improved reliability, quality and security. The results are useful for developers of any GIS product and for choosing a GIS product for an organization, because they provide insight into the behavioural intentions of users.     

Simulating Spatial Dynamics and Processes in a Retail Gasoline Market: An Agent‐Based Modeling Approach

Simulating the dynamics and processes within a spatially influenced retail market, such as the retail gasoline market, is a highly challenging research area. Current approaches are limited through their inability to model the impact of supplier or consumer behavior over both time and space. Agent‐based models (ABMs) provide an alternative approach that overcomes these problems. We demonstrate how knowledge of retail pricing is extended by using a ‘hybrid’ model approach: an agent model for retailers and a spatial interaction model for consumers. This allows the issue of spatial competition between individual retailers to be examined in a way only accessible to agent‐based models, allowing each model retailer autonomous control over optimizing their price. The hybrid model is shown to be successful at recreating spatial pricing dynamics at a national scale, simulating the effects of a rise in crude oil prices as well as accurately predicting which retailers were most susceptible to closure over a 10‐year period.     

Towards a Participatory GIS: Evaluating Case Studies of Participatory Rural Appraisal and GIS in the Developing World

The recognition that local participation is a critical goal of development has contributed to the popularity in a set of techniques designed to increase local participation and knowledge in planning processes. Identified as participatory rural appraisal (PRA), this trend is marked by the use of a variety of high-end technologies, including geographic information systems (GIS). An interesting and related trend has come from members of the GIS community who argue that a "participatory GIS" is required to ensure local knowledge and participation in a variety of planning initiatives. This synergy of interests has resulted in a growth of research in the developing world that attempts to merge PRA methods with GIS tools. This paper examines the separate, but increasingly complementary, traditions of PRA and GIS. Ten case studies that combine participatory methods with GIS in Latin America, Africa, and Asia are evaluated to consider how these traditions are being applied by communities to protect ownership of territory, present local knowledge of natural resources, and to engage in long-term planning. This paper suggests that although GIS has the potential to increase participation in planning processes, a commonality of the majority of case studies is limited attention to the participatory process itself. It would address how access to information and GIS tools varies within communities, as well as the effectiveness of a participatory GIS in shaping policy outcomes. Although participation can be advanced through the use of GIS, this paper concludes by suggesting that research on the availability of these tools should not serve as a substitute for critical analyses of their use and effectiveness by local communities.     

基于GIS空间分析的农村建设用地节约集约利用研究

中国农村土地利用粗放,基础设施建设落后,严重制约了农村居民生活水平的提高和中国城镇化进程。全国范围开展的土地整治工作目的就是改善农村农用地耕作条件和改良建设用地集约利用。文章运用景观格局理论和GIS空间分析技术,在建立农村居民点空间节地评价体系的基础上,结合农村居民点社会经济发展潜力评价,通过节地模式判定矩阵确定农村居民点建设节地方向和整理模式。文章宏观上分析了北京市通州区各乡(镇)空间节地情况,微观上对通州区台湖镇通过了空间节地评价和社会经济发展潜力评价,得到三镇农村建设用地节约集约利用的初步方案。