THE EFFECTS OF WORK PLACE-RESIDENCE SEPARATION AND RIDE SHARING ON EMPLOYEE ABSENTEEISM: SURVEY AND PILOT STUDY

The knowledge acquisition phase of knowledge engineering is related to the phenomenology of domain expertise. The relationship between knowledge extraction and meta-knowledge (knowledge about what we know and how we reason) is stressed. Two knowledge extraction techniques for hard-to-trace expert reasoning are introduced. The nature of geographical knowledge and expertise is examined and related to the process of building spatial theory.     

Extension 3.0: Managing Agricultural Knowledge Systems in the Network Age

This article develops the idea of “Extension 3.0” as an approach to agricultural extension that capitalizes on the network structure of local agricultural knowledge systems. Over the last century, agricultural knowledge systems have evolved into networks of widely distributed actors with a diversity of specializations and expertise. Agricultural extension programs need to manage these networks in ways that maximize the synergy between experiential, technical, and social learning. Using empirical research from California farmers, we highlight the structure of these networks within and across contexts, and the importance of boundary-spanning relationships. We provide some initial recommendations about actions needed to realize the goal of Extension 3.0, which is to deliver relevant agricultural knowledge to the right people, at the right time and place.     

数字地形分析应用适配性知识的案例表达与推理方法

数字地形分析(Digital Terrain Analysis, DTA)在应用时依赖于建模知识,尤其是关于所建的应用模型是否与研究区特点、数据等条件相适配的知识(称为“应用适配性知识”);由于这类知识难以形式化表达,现有的数字地形分析工具对此类知识缺乏利用,从而导致普通用户在应用数字地形分析时建模困难。针对该问题,设计了一套数字地形分析领域应用适配性知识的案例表达与相应的推理方法。以美国32个河网提取案例为例,通过交叉验证,初步表明案例及其推理应用方法适合于数字地形分析领域应用适配性知识的形式化表达与应用,该方法通过与建模环境的集成,可大幅降低数字地形分析应用建模难度。     

Integrated global change impact studies in the Arctic: the role of the stakeholders

Responses to global change impacts require the specification of mitigation and adaptation options. Integrated regional impact studies provide some of the information needed for rational decision making. In order to carry out a comprehensive impact study, the involvement of stakeholders in the planning and execution of the study is seen as a necessary prerequisite for an acceptance of its conclusions by the broad public. One way to pursue such an involvement is through a scientist-stakeholder collaborative. Such a collaborative, for instance institutionalized through a joint scientist-stakeholder steering committee addressing issues related to mutual communication and the integration of individual study results, offers a number of additional advantages. The experience of local residents and the utilization of traditional knowledge may provide insight and expertise inaccessible to scientific investigations. Within the Barents Sea Impact Study, the involvement of stakeholders has been given significant weight early on. One of the main instruments employed in the stakeholder collaborative is the BASIS Information Office. However, given the diversity of backgrounds and interests of stakeholders from four different countries, scientist-stakeholder collaboration represents a significant challenge within BASIS. This notwithstanding, we consider the advantages gained worth the extra effort.     

分布式水文模型软件系统研究综述

分布式水文模型软件系统作为分布式水文模型的技术外壳,是模型应用的重要技术保障。当前分布式水文模型应用呈现出多过程综合模拟、用户群范围广和计算量大的特点,对分布式水文模型软件系统的灵活性、易用性和高效性提出了更高的要求。本文首先分析了分布式水文模型应用的主要流程,之后从应用视角对现有分布式水文模型软件系统的特点进行了归纳,主要结论为:①软件系统按照模型结构灵活性的高低分为以下3种类型:不支持子过程选择和算法设置,不支持子过程选择、但支持算法设置,同时支持子过程选择和算法设置;②根据用户操作数据预处理软件方式的不同,参数提取方式分为菜单/命令行式和向导式;③按照模型的程序实现方法分为串行和并行方式,按照模型运行环境分为本地和网络模式。现有软件系统在灵活性、易用性和高效性方面存在如下问题:一是尚未解决模型结构灵活性和对用户知识依赖性之间的矛盾;二是现有菜单/命令行式和向导式的参数提取方式步骤繁琐,难以实现参数的自动提取;三是模型大多为串行方式和本地模式,容易遇到计算瓶颈问题。最后从模块化、智能化、网络化及移动化、并行化和虚拟仿真等方面探讨了分布式水文模型软件系统的发展趋势和研究方向。     

The Transnational Assembling of Marina Bay,Singapore

From Shanghai's Pudong to Dubai's Marina, waterfront developments are increasingly popular urban forms worldwide. Drawing on the literature on urban assemblages, I explore how urban waterfronts are produced out of the transnational assembling of models, knowledge and expertise. My case study here is Marina Bay, Singapore, a landscape that like much of the rest of Singapore is a product of talent and ideas from elsewhere. In this paper, two strategies employed by Singapore's urban authorities to court global expertise for Marina Bay's development are examined – their formation of an international panel of experts in the fields of urban planning, policy and design, and their launching of international competitions to attract top design firms. Like transfer agents that enable policies to travel, I argue that these individuals and firms are situated within wider knowledge circuits that straddle the globe, and are thus well placed to filter and channel ideas from elsewhere to Singapore. Drawing on selected developments within Marina Bay, I trace the routes taken by these ideas, the changes they underwent as they travelled, as well as their relationships with the actors that facilitated their journeys. In doing so, I hope to demonstrate the usefulness of understanding the urban as more‐than‐territorial in both theory and practice.     

Assembling/Worlding Cities

This article explores the assembling and worlding of cities as both aspirational and evaluative processes in which cities are assembled, compared, and “positioned.” These practices involve the global circulation of expertise, best practices, models, and technologies related to how best to develop and govern cities. From specific examples from the authors' research, it is argued that the two distinct but overlapping notions of assembling and worlding help us conceptualize the contemporary urban–global condition. Building on the article's insights, we end this Urban Pulse with some questions for future global urban studies.     

本地知识基础对新兴产业知识流动的影响——以中国燃料电池产业为例

经济地理学者对于新兴产业的产生区位长期存在争论,在中美贸易战背景下,探究其区位规律既是重要的学科问题,又对国家培育新兴产业具有重要指导意义.通过梳理“区域产业分叉”和“区位机会窗口”的观点,辨析出知识流动是影响新兴产业区位的关键点;以燃料电池产业为例,结合“相关多样化”假说的观点,采用面板空间自回归模型对知识基础的具体...     

Ontologies and representation spaces for sketch map interpretation

In this paper, we present a systematic approach to sketch map interpretation. The method decomposes the elements of a sketch map into a hierarchy of categories, from the material sketch map level to the non-material representational sketch map level, and then interprets the sketch map using the five formal representation spaces that we develop. These spaces (set, graph, metric and Euclidean) provide a tiered formal representation based on standard mathematical structures. We take the view that a sketch map bears information about the physical world and systematises this using extensions of existing formal ontologies. The motivation for this work is the partially automatic extraction and integration of information from sketch maps. We propose a set of ontologies and methods as a first step in the direction of a formalisation of partially automatic extraction and integration of sketch map content. We also see this work as a contribution to spatial cognition, where researchers externalise spatial knowledge using sketch mapping. The paper concludes by working through an example that demonstrates the sketch map interpretation at different levels using the underlying method.     

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.     

苯并15-冠-5—离子液体体系多级逆流萃取分离锂同位素研究

锂的两种天然同位素（6Li和7Li）在能源、环境和国防安全等领域具有重要应用价值。本文以氯化锂溶液为原料,选用苯并15-冠-5和咪唑类离子液体体系对其进行了模拟逆流萃取实验,考察了多级逆流萃取过程中锂的萃取率和锂同位素分离系数的变化规律,结果表明：经10级逆流萃取后,锂的萃取率和同位素分离系数有了明显提高,6Li富集在有机相,丰度提高了0.2996%,本文对锂同位素富集浓度和富集行为进了研究探讨。     

Geospatial Thinking and Spatial Ability: An Empirical Examination of Knowledge and Reasoning in Geographical Science

This study examined the relationships between geospatial thinking and spatial ability, focusing on knowledge and reasoning about fundamental concepts in geospatial science. Scores on a geospatial thinking test had low correlations with each other, compared to high correlations among scores on spatial ability tests, and the degrees of relationship between geospatial thinking and spatial ability depended on the type of geospatial thinking. Expert geospatial scientists did not outperform students on spatial ability tests, suggesting that expertise in geospatial science might not simply be explained by superiority in spatial ability. The results point to the necessity of targeted instruction for geospatial learning.     

真菌在尼泊尔喜马拉雅地区基于生态系统的适应（EbA）实践中的作用评估（英文）

为了实现可持续发展目标（SDG）,从而实现2020年后全球生物多样性目标并提高人类社会对气候变化的抵御能力,建议将基于生态系统的适应（EbA）等基于自然的方法作为一种有前途的综合适应战略。EbA包括重视生态系统在降低社会对气候变化的脆弱性方面的作用的适应战略。在地球上不同的生物群中,真菌不仅在维持生态系统中的生物地球化学循环/养分循环（支持和调节服务）方面发挥着重要作用,而且还为人类的社会经济和文化利益（供应和文化服务）做出了贡献。本文根据对冬虫夏草（Ophiocordyceps sinensis）和其他野生真菌的实地考察、相关文献回顾以及作者的相关专业知识,对这些生物多样性真菌群体如何对基于生态系统的适应（EbA）方法的知识的科学理解进行了介绍。在尼泊尔,很多当地社区将几种真菌用作食品、药品,真菌同时也是尼泊尔山区社区的重要家庭收入来源,可在灾难期间提供缓冲,并对粮食安全、医疗保健、教育等具有积极作用。对于综合EbA方法,应加强地方机构的管理以及本土（地方）知识的教育,以对生态、社会和经济有用的真菌物种的识别、保护和可持续管理进行适当的政策干预。     

A data‐mining approach for assessing consistency between multiple representations in spatial databases

When different spatial databases are combined, an important issue is the identification of inconsistencies between data. Quite often, representations of the same geographical entities in databases are different and reflect different points of view. In order to fully take advantage of these differences when object instances are associated, a key issue is to determine whether the differences are normal, i.e. explained by the database specifications, or if they are due to erroneous or outdated data in one database. In this paper, we propose a knowledge‐based approach to partially automate the consistency assessment between multiple representations of data. The inconsistency detection is viewed as a knowledge‐acquisition problem, the source of knowledge being the data. The consistency assessment is carried out by applying a proposed method called MECO. This method is itself parameterized by some domain knowledge obtained from a second method called MACO. MACO supports two approaches (direct or indirect) to perform the knowledge acquisition using data‐mining techniques. In particular, a supervised learning approach is defined to automate the knowledge acquisition so as to drastically reduce the human‐domain expert's work. Thanks to this approach, the knowledge‐acquisition process is sped up and less expert‐dependent. Training examples are obtained automatically upon completion of the spatial data matching. Knowledge extraction from data following this bottom‐up approach is particularly useful, since the database specifications are generally complex, difficult to analyse, and manually encoded. Such a data‐driven process also sheds some light on the gap between textual specifications and those actually used to produce the data. The methodology is illustrated and experimentally validated by comparing geometrical representations and attribute values of different vector spatial databases. The advantages and limits of such partially automatic approaches are discussed, and some future works are suggested.     

A review of volunteered geographic information quality assessment methods

With the ubiquity of advanced web technologies and location-sensing hand held devices, citizens regardless of their knowledge or expertise, are able to produce spatial information. This phenomenon is known as volunteered geographic information (VGI). During the past decade VGI has been used as a data source supporting a wide range of services, such as environmental monitoring, events reporting, human movement analysis, disaster management, etc. However, these volunteer-contributed data also come with varying quality. Reasons for this are: data is produced by heterogeneous contributors, using various technologies and tools, having different level of details and precision, serving heterogeneous purposes, and a lack of gatekeepers. Crowd-sourcing, social, and geographic approaches have been proposed and later followed to develop appropriate methods to assess the quality measures and indicators of VGI. In this article, we review various quality measures and indicators for selected types of VGI and existing quality assessment methods. As an outcome, the article presents a classification of VGI with current methods utilized to assess the quality of selected types of VGI. Through these findings, we introduce data mining as an additional approach for quality handling in VGI.     

Are opinions expressed in land-use planning documents?

A great deal of research on information extraction from textual datasets has been performed in specific data contexts, such as movie reviews, commercial product evaluations, campaign speeches, etc. In this paper, we raise the question on how appropriate these methods are for documents related to land-use planning. The kind of information sought concerns the stakeholders, sentiments, geographic information, and everything else related to the territory. However, it is extremely challenging to link sentiments to the three dimensions that constitute geographic information (location, time, and theme). After highlighting the limitations of existing proposals and discussing issues related to textual data, we present a method called OPILAND (OPinion mIning from LAND-use planning documents) designed to semi-automatically mine opinions related to named-entities in specialized contexts. Experiments are conducted on a Thau lagoon dataset (France), and then applied on three datasets that are related to different areas in order to highlight the relevance and the broader applications of our proposal.     

探讨建立基于Web的中国南极环境评估系统

本文根据“马德里协议”与ATCM通过的其他相关议案对南极环境管理、监测和环境影响评估的要求,在系统研究澳大利亚南极局自2003年起运行的南极环境评估系统[1]的基础上,探讨如何建立中国南极环境评估系统(Ch inese Antarctic Environm entEvaluation System,CAEES)。该系统在设计中将结合中国南极考察活动的特点、规模、发展战略以及环境保护要求,涵盖一系列静态或动态的南极环境要素数据,同时综合相关学科专家的评估意见。该系统拟采取基于W eb的数据库技术来实现南极环境的实时动态评估以及中国南极环境状况报告(Ch inese Ant-arctic Environm ental Report,CAER)的自动生成。     

城市间技术邻近的类型及其知识溢出的差异——基于知识复杂度的视角

随着全球城市创新网络的日益密切,区域创新研究开始由城市本地创新转向网络视角下城市间的知识溢出。本文使用专利数据测度了中国278个地级及以上城市间技术邻近水平,在此基础上引入知识复杂度分析框架讨论城市间技术邻近的不同类型,并利用2007—2019年的城市面板数据实证检验了基于不同类型技术邻近的知识溢出的差异。研究发现：① 城市间的技术邻近与城市知识多样性和遍在性有关,多样化和专业且遍在化的知识结构更容易在城市间产生技术邻近;② 城市间技术邻近与知识存量不存在显著的相关关系,但受到知识结构的影响而呈现出不同类型,具有多样化知识结构特征的城市间技术邻近平均程度最高且内部差异最小;③ 基于不同类型技术邻近的知识溢出有较大差异,与知识遍在性相比,知识多样性所带来的技术邻近更有利于城市间的知识溢出,在知识多样性的基础上,知识遍在性会强化这种效应。     

Challenges of an organizational approach to applied downtown market analysis

Downtowns are responding to decades of decline through a variety of revitalization strategies. The progression and success of downtown renewal efforts are largely rooted in asset-based, mixed-use approaches to revitalization that mirror the evolving economic functions of downtowns. While contemporary economic revitalization strategies provide opportunities, their complexity also creates potential challenges for community organizations tasked with determining the highest and best uses for downtown properties. Accordingly, this article examines how the evolution of downtown economic revitalization strategies has influenced the capacity and expertise required by organizations engaged in the endeavor of downtown market analysis. In particular, we identify applied market analysis challenges arising from organizational deficiencies in expertise, credibility, scope, and technology adoption and propose capacity building opportunities for overcoming these deficits.     

Fishing in the Amazonian Forest: A Gendered Social Network Puzzle

We employ social network analysis (SNA) to describe the structure of subsistence fishing social networks and to explore the relation between fishers’ emic perceptions of fishing expertise and their position in networks. Participant observation and quantitative methods were employed among the Tsimane’ Amerindians of the Bolivian Amazon. A multiple-regression quadratic assignment procedure was used to explore the extent to which gender, kinship, and age homophilies influence the formation of fishing networks. Logistic regressions were performed to determine the association between fishers’ expertise, their sociodemographic identities, and network centrality. We found that fishing networks are gendered and that there is a positive association between fishers’ expertise and centrality in networks, an association that is more striking for women than for men. We propose that a social network perspective broadens understanding of the relations that shape the intracultural distribution of fishing expertise, as well as natural resource access and use.