Techniques for augmenting the visualisation of dynamic raster surfaces

Despite their aesthetic appeal and condensed nature, dynamic raster surface representations such as a temporal series of a landform and an attribute series of a socio-economic attribute of an area, are often criticised for the lack of an effective information delivery and interactivity.In this work, we readdress some of the earlier raised reasons for these limitations -information-laden quality of surface datasets, lack of spatial and temporal continuity in the original data, and a limited scope for a real-time interactivity. We demonstrate with examples that the use of four techniques namely the re-expression of the surfaces as a framework of morphometric features, spatial generalisation, morphing, graphic lag and brushing can augment the visualisation of dynamic raster surfaces in temporal and attribute series

The State of the Art in Cartograms

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

Trends and concerns in digital cartography

CISRG discussion paper ;

Towards a Cloud-Based Service for Maintaining and Analyzing Data About Scientific Events

We propose the new cloud-based service OpenResearch for managing and analyzing data about scientific events such as conferences and workshops in a persistent and reliable way. This includes data about scientific articles, participants, acceptance rates, submission numbers, impact values as well as organizational details such as program committees, chairs, fees and sponsors. OpenResearch is a centralized repository for scientific events and supports researchers in collecting, organizing, sharing and disseminating information about scientific events in a structured way. An additional feature currently under development is the possibility to archive web pages along with the extracted semantic data in order to lift the burden of maintaining new and old conference web sites from public research institutions. However, the main advantage is that this cloud-based repository enables a comprehensive analysis of conference data. Based on extracted semantic data, it is possible to determine quality estimations, scientific communities, research trends as well the development of acceptance rates, fees, and number of participants in a continuous way complemented by projections into the future. Furthermore, data about research articles can be systematically explored using a content-based analysis as well as citation linkage. All data maintained in this crowd-sourcing platform is made freely available through an open SPARQL endpoint, which allows for analytical queries in a flexible and user-defined way.Comment: A completed version of this paper had been accepted in SAVE-SD workshop 2017 at WWW conferenc

The Metacognitive and Exploratory Use of the Concept Map for Thematic Art History Papers in the Survey Course

This article examines how the introduction of pedagogical interventions in the art history survey class, made by using concept maps beyond an initial brainstorming phase and rather as an active-learning strategy in aid to developing thematic papers, impacts students’ perception of their usefulness. The qualitative and quantitative data gathered included two questionnaires, one submitted periodically throughout the semester and one after the concept map and term paper were completed. Additionally, this study presents a visual analysis of three sample sets of students’ concept maps to illustrate the levels of deep, surface, and non-learning. The results reveal that assigning students the task of developing the concept map and the paper in tandem throughout the semester presents some pros and cons. By using concept maps, students reflect more deeply on the nature of connections between two ideas, on the process of narrowing down the main theme, and on the overall structure of the concept map. However, students’ perception of the concept map’s usefulness beyond an initial brainstorming phase is diversified, and the sets of concept maps developed produce mixed results relative to surface learning, deep learning, and non-learning. The limitations of such use of concept maps include possible correlations between learning and motivation

Building the IDECi-UIB: the scientific spatial data infrastructure node for the Balearic Islands University

Technical and methodological enhancements in Information Technologies (IT) and Geographical Information Systems (GIS) has permitted the growth in Spatial Data Infrastructures (SDI) performance. In this way, their uses and applications have grown very rapidly. In the scientific and educational working fields, different institutions and organisations have bet for its use enforcing information exchange that allows researchers to improve their studies as well as give a better dissemination within the scientific community. Therefore, the GIS and Remote Sensing Service (SSIGT) at the Balearic Islands University (UIB) has decided to build and launch its own SDI to serve scientific Geo-Information (GI) throughout the Balearic Islands society focussing on the university community. By these means it intends to boost the development of research and education focusing on the field of spatial information. This article tries to explain the background ideas that form the basic concept of the scientific SDI related to the concepts of e-Science and e-Research. Finally, it explains how these ideas are taken into practice into the new University Scientific SDI

The Bechdel Test and the Social Form of Character Networks

This essay describes the popular Bechdel Test—a measure of women’s dialogue in films—in terms of social network analysis within fictional narrative. It argues that this form of vernacular criticism arrives at a productive convergence with contemporary academic critical methodologies in surface and postcritical reading practices, on the one hand, and digital humanities, on the other. The data-oriented character of the Bechdel Test, which a text rigidly passes or fails, stands in sharp contrast to identification- or recognition-based evaluations of a text’s feminist orientation, particularly because the former does not prescribe the content, but merely the social form, of women’s agency. This essay connects the Bechdel Test and a lineage of feminist and early queer theory to current work on social network analysis within literary texts, and it argues that the Bechdel Test offers the beginnings of a measured approach to understanding agency within actor networks