论地理知识图谱

网络文本蕴含大量隐式地理空间信息,为地理知识获取与知识服务提供了巨大潜能。地理知识图谱是将传统地理信息服务拓展到地理知识服务的关键,也是网络文本蕴含地理信息采集与处理的终极目标。本文系统评述了开放地理语义网、开放地理实体及关系抽取、地理语义网对齐、知识图谱存储方法等地理知识图谱相关主题的研究进展,从网络文本蕴含地理空间信息量与质量评价、地理信息语义理解、空间语义计算模型和异构地理语义网对齐等方面剖析了目前亟需解决的关键科学问题。     

Co-management and the co-production of knowledge: Learning to adapt in Canada's Arctic

Co-management institutional arrangements have an important role in creating conditions for social learning and adaptation in a rapidly changing Arctic environment, although how that works in practice has not been clearly articulated. This paper draws on three co-management cases from the Canadian Arctic to examine the role of knowledge co-production as an institutional trigger or mechanism to enable learning and adapting. Experience with knowledge co-production across the three cases is variable but outcomes illustrate how co-management actors are learning to learn through uncertainty and environmental change, or learning to be adaptive. Policy implications of this analysis are highlighted and include the importance of a long-term commitment to institution building, an enabling policy environment to sustain difficult social processes associated with knowledge co-production, and the value of diverse modes of communication, deliberation and social interaction.     

地质创造学及其在知识创新中的意义

地质创造学根据创造学中的综合原理 ,将地质学与创造学结合成一门交叉性学科。地质创造学主要研究地学领域中的理论和实践的创造活动 ,探索地学的创造过程、创造原理及其思维的特点、规律和方法。     

Geomatics 与数字地球

本文论述了Geomatics的内涵及特点,强调了数字地球是真实地球的数字化再现,是信息高度富集的统一体,是当代科学技术高度发展的产物,也是人类资源共享的一种概念模式.两者包含了地球系统的相关内容,并以3S等技术为支撑.知识经济时代对地理学提出了诸多问题,人类必须从全球的角度研究一系列资源环境问题,以保证全球性可持续发展战略的实施.     

大数据时代的国土资源档案创新管理研究

在大数据时代,以广东省国土资源档案集群服务平台建设为例,以“档案数据大集中、应用系统大集群、档案服务大平台”为总体工作思路,提出了“一个中心,两个集群、三个统一、四位一体”的国土档案管理一揽予解决方案,并对基于大数据的国土资源档案知识服务进行了初步研究,为我国国土资源档案行业在大数据时代信息化建设提供极具实践意义的经验。     

The comparison of PCA and discrete rough set for feature extraction of remote sensing image classification – A case study on rice classification, Taiwan

Texture information offers an extensive solution for image classification by providing better accuracy of image information. However, huge amounts of improper additional texture information may result in a chaotic state, and this leads to uncertainty in the classification process. Considerable portion of earlier works have been carried out through the generally acknowledged procedure of Principal Components Analysis (PCA). However, the PCA method has flaws in the area of influenced and non- influenced attributes. On the whole, whether PCA provides an effective solution to determine the value of knowledge rule in image information still remains a question. This study proposes an innovative method, called Discrete Rough Set method, as a tool for image classification. This study focuses on two crucial issues: (1) The core attributes of the target categories in image classification are systematically analyzed while eliminating surplus attributes rationally; (2) The unique point of each attribute, which influenced the target categories, is successfully found. This is a crucial aspect that is very helpful for the construction of decision rule. Finally, in this study we utilized the expert knowledge classifier and the overall accuracy of Discrete Rough Set (96.67%) exceeds that of the conventional PCA (86.00%) of paddy rice area evaluation from Quickbird image. This result shows that the appropriate classification knowledge can be presented by Discrete Rough Set, and this information can effectively improve the accuracy of image classification. An erratum to this article can be found at     

Sinkhole hazard assessment in Minnesota using a decision tree model

An understanding of what influences sinkhole formation and the ability to accurately predict sinkhole hazards is critical to environmental management efforts in the karst lands of southeastern Minnesota. Based on the distribution of distances to the nearest sinkhole, sinkhole density, bedrock geology and depth to bedrock in southeastern Minnesota and northwestern Iowa, a decision tree model has been developed to construct maps of sinkhole probability in Minnesota. The decision tree model was converted as cartographic models and implemented in ArcGIS to create a preliminary sinkhole probability map in Goodhue, Wabasha, Olmsted, Fillmore, and Mower Counties. This model quantifies bedrock geology, depth to bedrock, sinkhole density, and neighborhood effects in southeastern Minnesota but excludes potential controlling factors such as structural control, topographic settings, human activities and land-use. The sinkhole probability map needs to be verified and updated as more sinkholes are mapped and more information about sinkhole formation is obtained.     

Illuminating the practice of Knowledge Exchange as a ‘pathway to impact’ within an Arts and Humanities Research Council ‘Creative Economy Knowledge Exchange’ project

This article is concerned with the practice of Knowledge Exchange (KE) within the creative economy. Drawing on material collected as part of an ethnographic study of a small creative business support agency – Cultural Enterprise Office – based in Glasgow, Scotland, the article argues for a nuanced consideration of the complexities of doing KE in the creative economy. The study in question was titled ‘Supporting Creative Business’ and was funded by the Arts and Humanities Research Council under its Creative Economy Knowledge Exchange programme. This article describes the practice of KE, and the role that it might play as a ‘pathway to impact’. I explore the often-mundane activities that constitute KE ‘on the ground’, and argue for further attention to be paid to what I call ‘informal KE’. This article contributes directly to ongoing debates in geography about the effect that the impact agenda is having on academic practice. More specifically, the article examines the role of academics vis-à-vis consultants and other knowledge producers within the creative economy.     

Interactive Knowledge Generation in Urban Green Building Transitions

Knowledge coproduction between practitioners and scientists offers promising opportunities for the emerging research field of the geography of sustainability transitions. Drawing on experiences from an international research project on urban green building transitions, this article explores the potentials and challenges of interactive and collaborative knowledge generation methods in understanding sustainability transitions. Our results show that ongoing engagement with local experts and practitioners through interactive World Café workshops and follow-up exchanges allows for a better understanding of the research context and knowledge exchange to all participants involved in the research process.     

Bridging the knowledge divide between public and experts using PGIS for land use planning in Malaysia

Ineffective public participation in land-use planning contributes to the lack of communication and understanding between the public and experts, acting as a barrier to successful planning outcomes. In this study, we assess whether Participatory GIS (PGIS) is a suitable method to bridge the communication gap between the public and expert knowledge for planning in the developing country context of Malaysia. Through a mixed methods approach, we investigate whether expert knowledge converges or diverges with the public's perceived knowledge obtained through a PGIS process and assess the potential benefits of PGIS from public and expert planning perspectives. The results indicate more convergence than divergence in knowledge and perspective, indicating that a PGIS process can communicate local knowledge to planning authorities to inform land use and development planning in Malaysia. Both the public and planning experts recognize the potential benefits of PGIS, but successful implementation will require major changes in traditional Malaysian public participation processes.