Web2.0环境中的地理想象建构及其机制研究

Web2.0环境为网民提供了线上产消（即网络文化生产与消费相结合）的平台,其产消结果为地理想象研究提供了新素材。研究基于地理想象的相关理论,以百度贴吧“波兰球吧”为案例,通过对网络漫画“波兰球”进行内容分析,并对“波兰球吧”用户展开结构化访谈,探讨线上产消者在“波兰球”漫画中建构的全球地理想象特征及其机制。研究认为：产消者通过“波兰球”漫画表征世界地理,建构了关于全球地缘关系的“中心-边缘”结构的地理想象;产消者基于中国的本土视角在漫画中建构世界各国（地区）的地理想象;产消者在“波兰球”漫画中的地理想象建构机制是一种基于互动的产消实践。     

The vector to raster conversion: (mis)use in geographical information systems

Abstract

Many geographical information systems offer the possibility of converting vector data to raster data and using the raster pattern for analysis. This conversion process is already well known and has been used for many years. This paper shows how a selection of eight geographical information systems convert vector test data to a raster pattern. Each system handles this process in its own way, giving results that differ both in number and in the location of assigned raster cells in the raster pattern. The results of the conversions are compared with a desired raster pattern based on five simple principles. Suggestions are made about standardizing the process of conversion for all geographical information systems to make it possible to create and exchange data more safely.     

遥感影像分类与地学知识发现的集成研究

遥感与地学之间存在着数据与知识上巨大的互补性。本文通过地面类型数据将遥感影像分类与地学知识发现结合起来:用遥感数据驱动发现地学知识,用地学知识解释、确认、检验遥感分类结果,并使用统计值和分布谱来定量化表达地学知识,形成一体化的遥感地学分类系统。     

Ellipsoidal quadtrees for indexing of global geographical data

Systems for landscape visualization and geographical data handling require methods for efficient data access. Retrieval of data from large geographical databases, ten to thousands of Gbytes, is usually optimized with spatial indexing mechanisms. The simplest form of spatial indexing is achieved by dividing the database into congruent grid cells. The subsequent subdivision of the grid cells can be based on so-called quadtrees. Quadtrees for two-dimensional division and subdivision are appropriate for cartographical data. A geographical database, with objects stored in geocentric or geodetic (geographical) co-ordinates, requires indexing mechanisms that take into account the shape of the Earth. In this paper, we present a method for indexing of geographical data, named Ellipsoidal Quadtrees (EQT). In contrast to other global indexing methods, EQT is based on the Earth ellipsoid and not a spherical approximation. EQT division and subdivision make it possible to divide the Earth surface into a mesh of quadrangles with equal areas. We will demonstrate that EQT is flexible. It can be used for indexing databases of various sizes, including national and global databases. Tests on real data show that the performance of EQT is good.     

地理学的逻辑方法和基本法则

从科学哲学和科学学的角度考察地理学思想史,可以发现:地理学之所以徘徊于科学性不强的“经验科学”的水平,关键在于其科学的理论化和系统化不够。本文对地理学的逻辑方法及其公理系统作了初步探讨,并尝试就此推演地理定理,估计地理学的未来发展趋势。     

Activity patterns,socioeconomic status and urban spatial structure: what can social media data tell us?

ABSTRACT

Individual activity patterns are influenced by a wide variety of factors. The more important ones include socioeconomic status (SES) and urban spatial structure. While most previous studies relied heavily on the expensive travel-diary type data, the feasibility of using social media data to support activity pattern analysis has not been evaluated. Despite the various appealing aspects of social media data, including low acquisition cost and relatively wide geographical and international coverage, these data also have many limitations, including the lack of background information of users, such as home locations and SES. A major objective of this study is to explore the extent that Twitter data can be used to support activity pattern analysis. We introduce an approach to determine users’ home and work locations in order to examine the activity patterns of individuals. To infer the SES of individuals, we incorporate the American Community Survey (ACS) data. Using Twitter data for Washington, DC, we analyzed the activity patterns of Twitter users with different SESs. The study clearly demonstrates that while SES is highly important, the urban spatial structure, particularly where jobs are mainly found and the geographical layout of the region, plays a critical role in affecting the variation in activity patterns between users from different communities.     

论地理学构想的哲学体系

地理学研究中的"构想"意识,其语言结构及其词义均可追溯到古希腊时代,由哲学、心理、艺术、社会等学科逐渐渗透到地理学科,社会学构想是激发地理学构想的直接对应因素。地理学构想的运用范畴是今日异域、往日本土与往日异域。地理研究中的构想研究,包括四个部分:地理现实、地理的构想、地理学构想、构想的地理。在哲学意义上,即现象、感知、认知与表述四个环节。地理学构想中的构想,具有思想、分析、探索、批评、发现、观念、视野、设计、设想等多层含义,是想像或想象、印象与意象的总称。在理论与方法上,"地理学构想"包括了传统地理学的历史叙述分析方法、现代地理学的科学实证主义方法与当代地理学的人文主义方法。所谓"构想",即"研究";所谓"地理学构想",实质上是贯穿了近代科学启蒙主义、现代科学实证精神与后现代人文关怀的地理学研究。     

The use of digital map data in the segmentation and classification of remotely-sensed images

Abstract

Remotely-sensed data constitute a major potential source of input to geographical information systems (GIS)However, these data often have a relatively poor classification accuracy compared with that of the cartographic data from maps with which they may be combined in the course of GIS analysis. The possibility exists of using data sets (in the form of digital maps) resident within a GIS in order to improve this accuracy, before the classified image is incorporated into the GIS. Results are discussed from a British Alvey Information Technology project to develop a system for the knowledge-based segmentation and classification of remotely-sensed terrain images, in which the knowledge contained in digital map     

ST‐DMQL: A Semantic Trajectory Data Mining Query Language

Mobile devices are becoming very popular in recent years, and large amounts of trajectory data are generated by these devices. Trajectories left behind cars, humans, birds or other objects are a new kind of data which can be very useful in the decision making process in several application domains. These data, however, are normally available as sample points, and therefore have very little or no semantics. The analysis and knowledge extraction from trajectory sample points is very difficult from the user's point of view, and there is an emerging need for new data models, manipulation techniques, and tools to extract meaningful patterns from these data. In this paper we propose a new methodology for knowledge discovery from trajectories. We propose through a semantic trajectory data mining query language several functionalities to select, preprocess, and transform trajectory sample points into semantic trajectories at higher abstraction levels, in order to allow the user to extract meaningful, understandable, and useful patterns from trajectories. We claim that meaningful patterns can only be extracted from trajectories if the background geographical information is considered. Therefore we build the proposed methodology considering both moving object data and geographic information. The proposed language has been implemented in a toolkit in order to provide a first software prototype for trajectory knowledge discovery.     

网络地理信息系统研究*

网络地理信息系统(WebGIS)是近年来地理信息系统发展的方向之一.文中在分析网络地理信息系统内涵和功能的基础上,认为地理数据的空间可视化和空间分析是网络地理信息系统的重要特点.为此提出基于元数据的网络地理信息系统代理服务器的概念,并探讨了在JAVA平台上实现的一些技术问题.最后以京九沿线投资环境网络评估信息系统原型为例,给出了网络地理信息系统一个具体应用实例,实现了网络环境下地理模型分析功能.     

Cultural Globalization,Global English,and Geography Journals

In this paper we review the debate on cultural globalization and examine the rise of English as a form of global communication. The implications of these trends for the geographical community are discussed in an analysis of the use of English in geography journals. We note the increasing number of journals published in English, measure the proportion of contributions from non‐English‐speaking countries in English language journals, and note the language practice of selected journals. We conclude that there has been a trend towards linguistic homogenization and raise the question: what are the implications of a geographical discourse dominated by just one language?     

Spatial autocorrelation and data uncertainty in the American Community Survey: a critique

ABSTRACT

We argue that the use of American Community Survey (ACS) data in spatial autocorrelation statistics without considering error margins is critically problematic. Public health and geographical research has been slow to recognize high data uncertainty of ACS estimates, even though ACS data are widely accepted data sources in neighborhood health studies and health policies. Detecting spatial autocorrelation patterns of health indicators on ACS data can be distorted to the point that scholars may have difficulty in perceiving the true pattern. We examine the statistical properties of spatial autocorrelation statistics of areal incidence rates based on ACS data. In a case study of teen birth rates in Mecklenburg County, North Carolina, in 2010, Global and Local Moran’s I statistics estimated on 5-year ACS estimates (2006–2010) are compared to ground truth rate estimates on actual counts of births certificate records and decennial-census data (2010). Detected spatial autocorrelation patterns are found to be significantly different between the two data sources so that actual spatial structures are misrepresented. We warn of the possibility of misjudgment of the reality and of policy failure and argue for new spatially explicit methods that mitigate the biasedness of statistical estimations imposed by the uncertainty of ACS data.     

Responding to the consequences of uncertainty in geographical data

The presence of uncertainty in geographical data has the potential to expose users to undesirable consequences in their decision making. Accordingly, our efforts to understand uncertainty seek to (a) avoid the use of data that are not suitable for their intended purpose (that is, data whose consequences are unacceptable), (b) to reduce any undesirable consequences to an acceptable level, and (c) to devise ways of living with undesirable data when the adverse consequences caused by poor data do not alter our ultimate decision choice. To assist this task, we propose an approach where the adverse consequences of uncertainty caused by the use of unsuitable geographical data are expressed in terms of risk. In this paper we first show that risk management offers geographical data users a range of options for responding to the adverse consequences of data uncertainty, and secondly we present and discuss the various risk response options.     

Placing Geographical Imagination in Film: New Zealand Filmmakers' Use of Landscape

The paper explores the role of landscape in New Zealand films. How is the New Zealand landscape imagined and revealed? What kind of landscape do filmmakers present? I argue that New Zealand filmmakers tap into specific geographical imaginations when they make films, and that this results in certain kinds of landscapes being produced. I sketch the methodology used in a survey of New Zealand films and ‘read’ a selection of opening and closing sequences and ‘generic places’ found in a selection of contemporary New Zealand films. 1 then offer some conclusions about New Zealand films, and their production, portrayal and imagining of New Zealand.     

地理专家系统的试验研究

80年代人工智能与地理学的结合产生了地理专家系统(GES)。地理专家系统是继地理信息系统之后,对地理知识与推理形式化,建立的具有一定地理专业水平的计算机软件系统。地理专家系统由地理数据库,地理知识库和地理推理机三大部分组成。地理数据库是GES的数据管理模块,我们设计了一套地理信息系统MCGIS来作为微机地理专家系统MCGES的综合数据库;地理知识库是GES的知识管理模块;地理推理机则是GES的推理控制策略的程序体现。本文结合一个用C语言自行设计的基于规则的产生式微机地理专家系统MCGES阐述了地理专家系统的原理和方法。     

Street as a big geo-data assembly and analysis unit in urban studies: A case study using Beijing taxi data

Quantitative research of urban geography has benefited greatly from the rapid development of big geo-data. Spatial assembly is an essential analytical step to summarize and perceive geographical environment from individual behaviours. Most research focuses on the methodology of how to utilize the big data, while the adopted spatial units for data aggregation remain areal in nature. This article conceptually proposes an idea of sensing cities from a street perspective, emphasizes the significance of street units in quantitative urban studies. Using a three-month taxi trajectory dataset and the major streets in Beijing, we explore the spatio-temporal patterns of urban mobility on streets, cluster streets into nine types based on their dynamic functions and capacities. Additionally, we discuss the differences and connections between the linear street unit and traditional areal units, investigate the possibility of uncovering urban communities using streets, and point out the complexity of streets. We conclude that street unit as a supplement to areal units, is able to effectively minify the modifiable areal unit problem (MAUP), sense urban dynamics, depict urban functions, and understand urban structures.     

Crowdsourcing urban form and function

Urban form and function have been studied extensively in urban planning and geographical information science. However, gaining a greater understanding of how they merge to define the urban morphology remains a substantial scientific challenge. Toward this goal, this paper addresses the opportunities presented by the emergence of crowdsourced data to gain novel insights into form and function in urban spaces. We are focusing in particular on information harvested from social media and other open-source and volunteered datasets (e.g. trajectory and OpenStreetMap data). These data provide a first-hand account of form and function from the people who define urban space through their activities. This novel bottom-up approach to study these concepts complements traditional urban studies to provide a new lens for studying urban activity. By synthesizing recent advancements in the analysis of open-source data, we provide a new typology for characterizing the role of crowdsourcing in the study of urban morphology. We illustrate this new perspective by showing how social media, trajectory, and traffic data can be analyzed to capture the evolving nature of a city’s form and function. While these crowd contributions may be explicit or implicit in nature, they are giving rise to an emerging research agenda for monitoring, analyzing, and modeling form and function for urban design and analysis.     

The GEO VIEW design A relational data base approach to geographical data handling

Abstract

Digital map data are currently available based on a variety of data structures, depending on the uses to which the data are to be put Within the major categories of vector and raster data, as well as other structures, there is a multiplicity of data formats. Further to this, data for digital map coordinates are frequently stored in a different way from attribute data pertaining to points, lines and polygons. Given these problems, this paper investigates the possibility of handling different kinds of data structures, as well as both coordinate and attribute information within a unified conceptual scheme. This scheme is expressed in terms of the design of an integrated geographical information system called GEO VIEW, which can be implemented in a relational data base environment. The structure of the tables in the data base is outlined, together with the methodology for coding different kinds of data structure into a standard form. Examples of queries are provided, using the SQL query language, to indicate how the system might be used and problems in optimizing spatial searching on a data base of this kind are addressed.     

Megalopolitan glocalization: the evolving relational economic geography of intercity knowledge linkages within and beyond China’s Yangtze River Delta region, 2004-2014

We develop the relational economic geographical potential of the incubator and hinge functions of megalopolis incorporating ideas from the literature on regional innovation systems and New Argonaut connections respectively. Empirically, we investigate how China’s Yangtze River Delta (YRD) has incubated but also articulated knowledge interactions at different geographical scales. Drawing upon co-patent data from the World Intellectual Property Organization database, we show that the YRD’s knowledge hinge role has strengthened over time, notably as a result of the role played by economic entities in Shanghai – the YRD’s gateway city. To unpack the YRD’s knowledge hinge role, we use information attached to co-patents to distinguish different channels – multinational enterprises, Chinese domestic enterprises, universities and research institutes, and “New Argonaut” linkages – by which YRD cities have accessed exogenous knowledge at different geographical scales. In conclusion we highlight the value of megalopolis as a meso-scale unit of analysis for relational economic geography.