33,671 research outputs found

    The State of the Art in Cartograms

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    Cartograms combine statistical and geographical information in thematic maps, where areas of geographical regions (e.g., countries, states) are scaled in proportion to some statistic (e.g., population, income). Cartograms make it possible to gain insight into patterns and trends in the world around us and have been very popular visualizations for geo-referenced data for over a century. This work surveys cartogram research in visualization, cartography and geometry, covering a broad spectrum of different cartogram types: from the traditional rectangular and table cartograms, to Dorling and diffusion cartograms. A particular focus is the study of the major cartogram dimensions: statistical accuracy, geographical accuracy, and topological accuracy. We review the history of cartograms, describe the algorithms for generating them, and consider task taxonomies. We also review quantitative and qualitative evaluations, and we use these to arrive at design guidelines and research challenges

    Finding multiple core-periphery pairs in networks

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    With a core-periphery structure of networks, core nodes are densely interconnected, peripheral nodes are connected to core nodes to different extents, and peripheral nodes are sparsely interconnected. Core-periphery structure composed of a single core and periphery has been identified for various networks. However, analogous to the observation that many empirical networks are composed of densely interconnected groups of nodes, i.e., communities, a network may be better regarded as a collection of multiple cores and peripheries. We propose a scalable algorithm to detect multiple non-overlapping groups of core-periphery structure in a network. We illustrate our algorithm using synthesised and empirical networks. For example, we find distinct core-periphery pairs with different political leanings in a network of political blogs and separation between international and domestic subnetworks of airports in some single countries in a world-wide airport network.Comment: 11 figures and 9 tables. MATLAB codes are available at www.naokimasuda.net/cp_codes.zi

    A Public Voice for Youth: The Audience Problem in Digital Media and Civic Education

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    Part of the Volume on Civic Life Online: Learning How Digital Media Can Engage Youth.Students should have opportunities to create digital media in schools. This is a promising way to enhance their "civic engagement," which comprises political activism, deliberation, problem-solving, and participation in shaping a culture. All these forms of civic engagement require the effective use of a "public voice," which should be taught as part of digital media education. To provide digital media courses that teach civic engagement will mean overcoming several challenges, including a lack of time, funding, and training. An additional problem is especially relevant to the question of public voice. Students must find appropriate audiences for their work in a crowded media environment dominated by commercial products. The chapter concludes with strategies for building audiences, the most difficult but promising of which is to turn adolescents' offline communities -- especially high schools -- into more genuine communities

    MIRACLE at GeoCLEF Query Parsing 2007: Extraction and Classification of Geographical Information

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    This paper describes the participation of MIRACLE research consortium at the Query Parsing task of GeoCLEF 2007. Our system is composed of three main modules. First, the Named Geo-entity Identifier, whose objective is to perform the geo-entity identification and tagging, i.e., to extract the “where” component of the geographical query, should there be any. This module is based on a gazetteer built up from the Geonames geographical database and carries out a sequential process in three steps that consist on geo-entity recognition, geo-entity selection and query tagging. Then, the Query Analyzer parses this tagged query to identify the “what” and “geo-relation” components by means of a rule-based grammar. Finally, a two-level multiclassifier first decides whether the query is indeed a geographical query and, should it be positive, then determines the query type according to the type of information that the user is supposed to be looking for: map, yellow page or information. According to a strict evaluation criterion where a match should have all fields correct, our system reaches a precision value of 42.8% and a recall of 56.6% and our submission is ranked 1st out of 6 participants in the task. A detailed evaluation of the confusion matrixes reveal that some extra effort must be invested in “user-oriented” disambiguation techniques to improve the first level binary classifier for detecting geographical queries, as it is a key component to eliminate many false-positives

    The Consequences of Increased Population Growth for Climate Change

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    This paper examines the impact of population growth on global climate change. The author employs the Global Change Assessment Model (GCAM) to estimate the effects of population growth on the change global average temperature by 2100. Observing that a larger population supports a larger economy, which translates in close proportion into additional releases of carbon dioxide (CO2), the paper notes that global temperature should in any year be nearly linear in relation to the rate of growth when the rate of population growth is constant.The paper finds that that an additional 1 percentage point of population growth through the end of the century would coincide with about an additional 2 degrees Fahrenheit in average global temperatures. Over time, the temperature change is greater and becomes increasingly sensitive to population growth

    Visualising the South Yorkshire floods of ‘07

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    This paper describes initial work on developing an information system to gather, process and visualise various multimedia data sources related to the South Yorkshire (UK) floods of 2007. The work is part of the Memoir project which aims to investigate how technology can help people create and manage long-term personal memories. We are using maps to aggregate multimedia data and to stimulate remembering past events. The paper describes an initial prototype; challenges faced so far and planned future work
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