A geographic information science perspective on hyperspectral remote sensing

This paper presents a brief review of hyperspectral imagery and its analysis from a perspective based in Geographic Information Science. The ten original research priorities of the University Consortium for Geographic Information Science from 1996 and the five emerging themes from 2000/2001 are used as a framework to examine different aspects of management, analysis and use of hyperspectral imagery. A GIScience perspective identifies a series of issues that can develop the utility of hyperspectral imagery and gives an agenda for research that integrates hyperspectral imagery into Geographic Information Science to the benefit of both GIScience and hyperspectral remote sensing.     

Searching for social justice in GIScience publications

ABSTRACT

Maps 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.     

Geographic Object-Based Image Analysis – Towards a new paradigm

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.     

Geospatial Agents, Agents Everywhere . . .

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.     

Location Based Social Networks – Definition,Current State of the Art and Research Agenda

The growing penetration of GPS equipped smartphones allowing users to constantly share geographic information on their current whereabouts has led the way to an augmentation of existing Social Network Sites with location‐based features or the creation of new ones exclusively around geographic information. Within these Location Based Social Networks vast amounts of geographic information are allocated, which attracted the attention of researchers with various scientific backgrounds. This article presents a comprehensive definition of this special type of Social Network Site and an overview of research activities, which are currently conducted using the data. Finally, a research agenda for GIScience is drawn from existing research directions.     

Review of the development of digital earth research during 1998–2015 based on a bibliometric analysis

ABSTRACT

Since Al Gore created the vision for Digital Earth in 1998, a wide range of research in this field has been published in journals. However, little attention has been paid to bibliometric analysis of the literature on Digital Earth. This study uses a bibliometric analysis methodology to study the publications related to Digital Earth in the Science Citation Index database and Social Science Citation Index database (via the Web of Science online services) during the period from 1998 to 2015. In this paper, we developed a novel keyword set for ‘Digital Earth’. Using this keyword set, 11,061 scientific articles from 23 subject categories were retrieved. Based on the searched articles, we analyzed the spatiotemporal characteristics of publication outputs, the subject categories and the major journals. Then, authors’ performance, affiliations, cooperation, and funding institutes were evaluated. Finally, keywords were examined. Through keyword clustering, research hotspots in the field of Digital Earth were detected. We assume that the results coincide well with the position of Digital Earth research in the context of big data.     

Description and characterization of place properties using topic modeling on georeferenced tags

ABSTRACT

User-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.     

Exploring the anatomy of Geographic Information Systems and Technology (GIS&T) textbooks

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.     

素质教育背景下地理教师的GIS素质构建

在对地理教师地理科学素质现状分析的基础上,对地理教师在教学、科研、生活中应具备的地理信息科学素质进行了研究,并从师范教育、继续教育2个角度探讨了构建地理教师地理信息科学素质的方法。     

试论地理信息科学的基础学科范式

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。     

“地图学”双语教学模式探索与实践

"地图学"是地理信息科学专业本科生的一门专业必修基础课程,具有多学科集成、渗透性强、应用范围广、理论与技术并重等特点,在整个课程体系中占有非常重要的地位。基于该课程开展双语教学,能够加快学生教育与国际接轨,培养具有国际竞争力的优秀高层次人才。文中立足于河南理工大学省级双语示范课程——"地图学"的教学实践,阐述该课程实施双语教学的理念与目标、课程内容与安排、教学方法与手段、课程考核方式改革及教学效果,旨在为同行提供借鉴与参考。     

VGDI – Advancing the Concept: Volunteered Geo‐Dynamic Information and its Benefits for Population Dynamics Modeling

The concept of Volunteered Geographic Information (VGI) has progressed from being an exotic prospect to making a profound impact on GIScience and geography in general, as initially anticipated. However, while massive and manifold data is continuously produced voluntarily and applications are built for information and knowledge extraction, the initially introduced concept of VGI lacks certain methodological perspectives in this regard which have not been fully elaborated. In this article we highlight and discuss an important gap in this concept, i.e. the lack of formal acknowledgment of temporal aspects. By coining the proposed advanced framework ‘Volunteered Geo‐Dynamic Information’ (VGDI), we attempt to lay the ground for full conceptual and applied spatio‐temporal integration. To illustrate that integrative approach of VGDI and its benefits, we describe the potential impact on the field of dynamic population distribution modeling. While traditional approaches in that domain rely on survey‐based data and statistics as well as static geographic information, the use of VGDI enables a dynamic setup. Foursquare venue and user check‐in data are presented for a test site in Lisbon, Portugal. Two core modules of spatio‐temporal population assessment are thereby addressed, namely time use profiling and target zone characterization, motivated by the potential integration in existing population dynamics frameworks such as the DynaPop model.     

Advancing the Understanding of Sociospatial Dependencies in Terrorist Networks

Terrorist networks operate in hybrid space where activities in social and geographic spaces are necessary for logistics and security. The Islamist terrorist network is analyzed as a sociospatial system using social network analysis, Geographic Information Science (GISc), and novel techniques designed for hybrid space analyses. This research focuses on identifying distance and sociospatial dependencies within the terrorist network. A methodology for analyzing sociospatial systems is developed and results lead to a greater understanding of terrorist network structures and activities. Distance and sociospatial dependencies are shown to exist for the Islamist terrorist network structure. These findings are discordant with recent literature that focuses on terrorist network tendencies toward decentralization in the information age. In this research, the Islamist terrorist network is theorized to use multiple structures of hierarchical and decentralized organization for effectiveness, efficiency, and resilience. Implications for counterterrorism policy and strategies are given.     

An assessment of gully erosion along major armoured roads in south-eastern region of South Africa: a remote sensing and GIS approach

An assessment of gully erosion along road drainage-release sites is critical for understanding the contribution of roads to soil loss and for informed land management practices. Considering that road-related gully erosion has traditionally been measured using field methods that are expensive, tedious and limited spatially as well as temporally, it is important to identify affordable, timely and robust methods that can be used to effectively map and estimate the volume of gullies along the road networks. In this study, gullies along major roads were identified from remotely sensed data sets and their volumes were estimated in a Geographic Information Systems environment. Also, the biophysical and climatic factors such as vegetation cover, the road contributing surface area, the gradient of the discharge hillslope and rainfall were derived from remotely sensed data sets using Geographic Information Systems techniques to find out whether they could explain the morphology of gullies that existed in this area. The results of this study indicate that hillslope gradient (R²?=?0.69, α = 0.00) and road contributing surface area (R²?=?0.63, α = 0.00) have a strong influence on the volume of gullies along the major roads in the south-eastern region of South Africa, as might have been expected. However, other factors such as vegetation cover (R² = 0.52, α = 0.00) and rainfall (R² = 0.41 and α = 0.58) have a moderately weaker influence on the overall volume of gullies. Overall, the findings of this study highlight the importance of using remote sensing and Geographic Information Systems technologies in investigating gully erosion occurrence along major roads where detailed field work remains a challenge.     

Contemporary American cartographic research: a review and prospective

ABSTRACT

We review recent developments in cartographic research in North America, in the context of informing the 29th International Cartographic Conference, and 18th General Assembly in 2019. The titles of papers published since 2015 in four leading cartographic journals yielded a corpus of 245 documents containing 1109 unique terms. These terms were analyzed using Latent Dirichlet Allocation and by visual analytics to produce 14 topic groups that mapped onto five classes. These classes were named as information visualization, cartographic data, spatial analysis and applications, methods and models, and GIScience. The classes were then used as themes to discuss the recent cartographic literature more broadly, first, to review recent trends in the research and to identify research gaps, and second, to examine prospects for new research over the next 20 years. A conclusion draws some broad findings from the review, suggesting that cartographic research in the future will be aimed less at dealing with data, and more at generating insight and knowledge to better inform society about global challenges.     

地理信息系统综述

近年来地理信息系统(GIS)在计算机技术的支持下,在理论、应用、软件开发以及产业化方面都得到了快速发展。首先对GIS与地理信息科学的区别进行了讨论,然后对GIS应用开发技术发展历程以及目前GIS领域的热点问题进行了论述,最后指出了GIS发展存在的问题,并对GIS的发展前景进行了展望。     

GISTARS: Elements of GIS on elementary computers 1

Geographic Information Systems (GIS) technology has had its genesis in the sophisticated computational context of research laboratories and commerical computing. Proprietary packages and a plethora of peripherals present problems in propagating GIS technology, both in developing countries and in conventional classroom settings. GISTARS (Geographic Information STARter System) is a training package developed under the auspices of the Office for Remote Sensing of Earth Resources at Penn State University by the author with support from USAID/India to promte interest in and understanding of GIS technology. It runs on generic PC‐compatible microcomputers having one or more diskette drives and a CGA card. A simple analog overlay device has been developed for converting source maps to digital form, so that training can be conducted without an electric digitizer. Documentation/tutorials are self‐contained. The software in executable form is non‐proprietary and may be freely copied and redistributed. It has served as the basis for a series of introductory GIS workshops given by the author in India.     

Mining Association Rules in Spatio-Temporal Data: An Analysis of Urban Socioeconomic and Land Cover Change

This research demonstrates the application of association rule mining to spatio‐temporal data. Association rule mining seeks to discover associations among transactions encoded in a database. An association rule takes the form A→B where A (the antecedent) and B (the consequent) are sets of predicates. A spatio‐temporal association rule occurs when there is a spatio‐temporal relationship in the antecedent or consequent of the rule. As a case study, association rule mining is used to explore the spatial and temporal relationships among a set of variables that characterize socioeconomic and land cover change in the Denver, Colorado, USA region from 1970–1990. Geographic Information Systems (GIS)‐based data pre‐processing is used to integrate diverse data sets, extract spatio‐temporal relationships, classify numeric data into ordinal categories, and encode spatio‐temporal relationship data in tabular format for use by conventional (non‐spatio‐temporal) association rule mining software. Multiple level association rule mining is supported by the development of a hierarchical classification scheme (concept hierarchy) for each variable. Further research in spatio‐temporal association rule mining should address issues of data integration, data classification, the representation and calculation of spatial relationships, and strategies for finding ‘interesting’ rules.     

Cartography and geographic information science at Penn State

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.     

Semantic Web and service computation in GIScience applications: a perspective and prospective

Semantic Web and Web services have been two prominent themes in the computer science and IT mainstream for more than a decade. While both of these themes have been evolving, some geographers and GIScientists have been trying to introduce and adopt such new technologies into GIScience research and development. This paper reviews the state-of-the-art and the main constraints of semantic Web and Web services technologies and their applications in GIScience. Unless some fundamental problems within both semantic Web and Web services can be resolved, such technologies will be difficult to match the needs in the GIScience community. Besides logics, more sciences and theories have to be introduced into this research front in order to break through the long-term bottleneck in semantic Web and service computation in general.