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This article reports on an empirical study of the trends and patterns of research activities in Geographic Information Science (GIScience) during the years 1997–2007. The GIScience research priorities identified by the University Consortium of Geographic Information Science (UCGIS) were used as guidelines to examine the 985 research articles published in six well‐recognized academic journals. Latent Semantic Analysis (LSA) was employed to investigate the association among the different GIScience research themes. The spatial and temporal patterns of the association between the publications and the different GIScience themes were examined to show the development of GIScience research during the study period. Furthermore, correlation analyses between the publications were conducted following the LSA results to reveal GIScience research networks, including the networks of the published articles and those formed by the research places. In this article, we applied an approach that was developed within information science to depict what GIS research activities were conducted when and where and how they connect to each other through sharing common research themes. The related findings pave the way for future efforts to describe the paradigm of GIScience as well as the pattern of GIScience research. 相似文献
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The amount of scientific literature on (Geographic) Object-based Image Analysis – GEOBIA has been and still is sharply increasing. These approaches to analysing imagery have antecedents in earlier research on image segmentation and use GIS-like spatial analysis within classification and feature extraction approaches. This article investigates these development and its implications and asks whether or not this is a new paradigm in remote sensing and Geographic Information Science (GIScience). We first discuss several limitations of prevailing per-pixel methods when applied to high resolution images. Then we explore the paradigm concept developed by Kuhn (1962) and discuss whether GEOBIA can be regarded as a paradigm according to this definition. We crystallize core concepts of GEOBIA, including the role of objects, of ontologies and the multiplicity of scales and we discuss how these conceptual developments support important methods in remote sensing such as change detection and accuracy assessment. The ramifications of the different theoretical foundations between the ‘per-pixel paradigm’ and GEOBIA are analysed, as are some of the challenges along this path from pixels, to objects, to geo-intelligence. Based on several paradigm indications as defined by Kuhn and based on an analysis of peer-reviewed scientific literature we conclude that GEOBIA is a new and evolving paradigm. 相似文献
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Geospatial Agents, Agents Everywhere . . . 总被引：1，自引：0，他引：1
The use of the related terms “agent‐based”, “multi‐agent”, “software agent” and “intelligent agent” have witnessed significant growth in the Geographic Information Science (GIScience) literature in the past decade. These terms usually refer to both artificial life agents that simulate human and animal behavior and software agents that support human‐computer interactions. In this article we first comprehensively review both types of agents. Then we argue that both these categories of agents borrow from Artificial Intelligence (AI) research, requiring them to share the characteristics of and be similar to AI agents. We also argue that geospatial agents form a distinct category of AI agents because they are explicit about geography and geographic data models. Our overall goal is to first capture the diversity of, and then define and categorize GIScience agent research into geospatial agents, thereby capturing the diversity of agent‐oriented architectures and applications that have been developed in the recent past to present a holistic review of geospatial agents. 相似文献
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ABSTRACTMaps are explicitly positioned within the realms of power, representation, and epistemology; this article sets out to explore how these ideas are manifest in the academic Geographic Information Science (GIScience) literature. We analyze 10 years of literature (2005–2014) from top tier GIScience journals specific to the geoweb and geographic crowdsourcing. We then broaden our search to include three additional journals outside the technical GIScience journals and contrast them to the initial findings. We use this comparison to discuss the apparent technical and social divide present within the literature. Our findings demonstrate little explicit engagement with topics of social justice, marginalization, and empowerment within our subset of almost 1200 GIScience papers. The social, environmental, and political nature of participation, mapmaking, and maps necessitates greater reflection on the creation, design, and implementation of the geoweb and geographic crowdsourcing. We argue that the merging of the technical and social has already occurred in practice, and for GIScience to remain relevant for contributors and users of crowdsourced maps, researchers and practitioners must heed two decades of calls for substantial and critical engagement with the geoweb and crowdsourcing as social, environmental, and political processes. 相似文献
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随着地理信息系统的出现和不断发展, 20世纪90年代提出的地理信息科学已经逐渐成为一门介于地理学、信息科学和测绘学等多学科交叉的新兴学科。秉承地理信息科学仍然是一个开放知识体系的基本判断, 从地理信息科学的上位学科地理学、信息科学、地球观测科学的基础学科特征出发, 重点论述其基础性和科学属性, 进而探讨了地理信息科学进一步发展的基础学科范式, 为地理信息科学知识体系的不断完善、加强地理信息科学的科学性、基础性和系统性提供潜在的发展路径。 相似文献
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Anthony C. Robinson 《制图学和地理信息科学》2015,42(4):91-92
Current research in the Cartographic and Geographic Information Sciences at Penn State emphasizes map design, geovisual analytics, spatiotemporal pattern detection, spatial cognition, CyberGIS, geographic information retrieval, image analysis, and novel methods for geospatial education. Cartography and GIScience research and education at Penn State is organized through groups such as the GeoVISTA Center and the Peter R. Gould Center in the Department of Geography, the Institute for CyberScience, and the John A. Dutton e-Education Institute. Recent achievements in these units have included advances in extracting geographic information from social media, novel methods for pattern analysis from event data, and the development of the first massive open online course in geography. 相似文献
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Choosing a textbook is among the most important decisions instructors make in preparation for an academic term. Geographic Information Systems and Technology (GIS&T) textbook development has been influenced by a unique set of circumstances, mainly the rapid development of the discipline within an interdisciplinary environment, which has resulted in a continuous state of evolution. We examine the anatomy of GIS&T textbooks through a comparison of their organization, content, and depth of coverage. Specifically, utilizing the Geographic Information Science and Technology Body of Knowledge (BoK) as a comprehensive reference, we categorize the content of 26 of the most widely used introductory GIS textbooks. Our results show that there has been consistent coverage of topics over time, with analytical methods and geospatial data being the most prominent topics covered in texts. However, individual textbooks place varying emphasis on the BoK knowledge areas, which is potentially useful to instructors seeking books that emphasize particular knowledge areas. Additionally, long‐term trends indicate a shift toward an emphasis on new forms of geospatial data (e.g., social media). Ongoing efforts to expand and revise the BoK reflect how the discipline continues to manage its own evolution as new geographic research linked to GIS and GIScience emerges. 相似文献
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由于高光谱数据的海量高维特征,使得传统的信息系统难以有效地对这些数据进行高效地存储、处理、分析,表现等管理操作。因此如何采用新的技术来开发一个能有效管理高光谱遥感影像数据的影像管理系统,是当前高光谱快速发展和深入应用的一个瓶颈之一。本文在研究的过程中,对当前影像管理系统的发展作了大量的分析,利用成熟的关系数据库和程序设计语言,开发了一个方便实用的高光谱遥感影像管理系统以管理高光遥感影像和其他遥感信息,提高影像管理效率。系统已初步实现了多景高光谱遥感影像检索,可以任意加载、导入高光谱遥感影像,运行效果良好。 相似文献
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In this paper, we argue that a feminist geographical analysis that examines women as active agents in their daily lives, pays attention to the multiplicity of women's experiences in relational space, and values knowledge for transformative purposes, provides insights as to how GIScience might develop in the near future. We draw upon our research with two different community organizations in North Philadelphia to show how a feminist geographical analysis can shape the conceptualization of a community GIS. We argue that collaborative work with community organizations based on “a view from below” necessitates alternative institutional arrangements while providing rich data to better understand the intersection of daily life and information and communication technologies (ICT) as experienced, in the particular case of our work, by poor women. Our research illustrates that understanding ICT frameworks from the perspective of women and in the context of their daily lives has important implications for GIScience. 相似文献
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Advances in location modeling: GIS linkages and contributions 总被引：4，自引：1，他引：3
Alan T. Murray 《Journal of Geographical Systems》2010,12(3):335-354
Geographic information systems (GIS) have matured and proven to be an enabling technology, one that is important to many disciplines.
Location analysis is also a field that has matured and continues to evolve. In fact, the combination of GIS and location science
is at the forefront of advances in spatial analysis capabilities, offering substantial potential for continued and sustained
theoretical and empirical evolution. This paper provides an overview of location analysis and discusses GIS. The paper highlights
how GIS has contributed to location science in terms of data input, visualization, problem solution and theoretical advances.
The significance of GIS in this context is that it is far more than a mere spatial data input mechanism, which is a commonly
held misconception within geography, operations research and other allied disciplines. In contrast to other reviews, the focus
in this paper is to highlight the theoretical foundations of location analysis and modeling and how GIS is contributing to
important advancements in this field. An overall contribution of the paper is providing a perspective on spatial analysis
and how associated specialty areas are evolving and thriving, particularly as a component of GIScience. 相似文献
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《制图学和地理信息科学》2013,40(3):131-136
Mobile mapping and geographic information systems may represent a new paradigm for cartography and GIScience. This short foreword to the special issue introduces the three papers that follow, briefly surveys the growing literature of field and mobile GIS, and discusses the emerging literature surrounding wearable GIS and their augmented reality display systems. The UCGIS research agenda for mobile and distributed computing is presented, as are the calls for additional research in the papers of the special issue. Calls for a comprehensive review article of the field from a cartography/GIScience perspective, and for involvement in the research agenda of mobile systems, are made. 相似文献
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ABSTRACTUser-Generated Content (UGC) provides a potential data source which can help us to better describe and understand how places are conceptualized, and in turn better represent the places in Geographic Information Science (GIScience). In this article, we aim at aggregating the shared meanings associated with places and linking these to a conceptual model of place. Our focus is on the metadata of Flickr images, in the form of locations and tags. We use topic modeling to identify regions associated with shared meanings. We choose a grid approach and generate topics associated with one or more cells using Latent Dirichlet Allocation. We analyze the sensitivity of our results to both grid resolution and the chosen number of topics using a range of measures including corpus distance and the coherence value. Using a resolution of 500 m and with 40 topics, we are able to generate meaningful topics which characterize places in London based on 954 unique tags associated with around 300,000 images and more than 7000 individuals. 相似文献
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Quantification of the urban composition is important in urban planning and management. Previous research has primarily focused on unmixing medium-spatial resolution multispectral imagery using spectral mixture analysis (SMA) in order to estimate the abundance of urban components. For this study an object-based multiple endmember spectral mixture analysis (MESMA) approach was applied to unmix the 30-m Earth Observing-1 (EO-1)/Hyperion hyperspectral imagery. The abundance of two physical urban components (vegetation and impervious surface) was estimated and mapped at multiple scales and two defined geographic zones. The estimation results were validated by a reference dataset generated from fine spatial resolution aerial photography. The object-based MESMA approach was compared with its corresponding pixel-based one, and EO-1/Hyperion hyperspectral data was compared with the simulated EO-1/Advanced Land Imager (ALI) multispectral data in the unmixing modeling. The pros and cons of the object-based MESMA were evaluated. The result illustrates that the object-based MESMA is promising for unmixing the medium-spatial resolution hyperspectral imagery to quantify the urban composition, and it is an attractive alternative to the traditional pixel-based mixture analysis for various applications. 相似文献
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Geo-ontology Tools: The Missing Link 总被引：1，自引：0，他引：1
Numerous authors have presented ontology building tools that have all been developed as part of academic projects and that are usually adaptations of more generic tools for geo-spatial applications. While we trust that these tools do their job for the special purpose they have been built, the GIScience user community is still a long way away from off-the-shelf ontology builders that can be used by GIS project managers. In this article, we present a comparative study of ontology building tools described in some twenty peer-reviewed GIScience journal articles. We analyze them from the perspective of two application domains, crime analysis and transportation/land use. For the latter, we developed a database schema, which is substantially different from the three main templates commonly used. The crime analysis application uses a rule base for an agent-based model that had no precursor. In both cases, the currently available set of tools cannot replace manual coding of ontologies for use with ESRI-based application software. Based on these experiences, we outline a requirements list of what the tools described in the first part of the article are missing to make them practical from an applications perspective. The result is an R&D agenda for this important aspect of GIScience. 相似文献
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