Abstract

The world population is continually increasing, but the Japanese population is decreasing. By 2050, the Japanese population is calculated to be close to 100 million people, and by 2060, 40% of the Japanese are estimated to be aged 65 years or more. Data show an increase in the declining birth and aging rates of the population. The development of high-concentration urban structures will be needed to solve such problems. However, a detailed vision of the future is yet to be clarified and in the process of consideration. In this study, we developed an instrument called “Population Migration Tool, ” which is based on plural planning and policy, after we formed a future population distribution model. In addition, We also established a high-concentration urban structure model with this tool with the aim of considering the kind of urban structure local cities should target in the future.

Abstract

Current technologies used in e-learning  processes require the logging of all activities performed. These data can be used in the assessment of students, instructors and the processes themselves. However, although this wealth of data exists, it is still difficult for those who teach (and interested stakeholders) to verify a hypothesis, extract conclusions, or make decisions based on the facts or situations that are discovered. This paper introduces an educational data analysis model based on visual analytics, learning analytics and academic analytics and using a software tool that allows performing confirmatory and exploratory data analysis through interaction with the information gathered from a typical Learning Management System. The main goal is to enable the discovery of knowledge on the specific learning process that, in turn, will permit its improvement.

Abstract

The authors have questioned how the semantic web search engines work and if the graphical display of the search results improves the retrieval. The types of queries that can be performed, as well as the main features of a semantic search engine, have been analyzed. A query was selected and executed in semantic search engines with online access to DBpedia. The basic and desirable functionality in a semantic web search engine, and reviewed studies about the evaluation of semantic search engines have been studied. Finally, there have been analyzed the graphic solutions for displaying the results of some search engines. The main findings underlines the idea that graphical solutions to display query results do not meet the expectations proposed in the bibliography.

Abstract

We present the results of the application of visualization techniques to search large sets of records, under the framework of the “Project of innovation in record management applied to transport infrastructure services and works procurement dossiers”. We started from a metadata schema as the origin of the information used to create visualizations. Four visualization techniques –timeline, cluster, cloud and map- and their metadata are exhaustively described.

Abstract

In the last two decades, data visualization has become a fundamental tool for the exploration and communication of complex messages in disciplines such as statistics, business intelligence, science, journalism, etc. This article exposes the advantages of visualization and also some of its main problems.

Abstract

Our digital world is increasingly visual. Mobile applications focused on digital photography such as Instagram are vehicles for the creation, manipulation and instant diffusion of images. Instagram is therefore an open window to research in Social Sciences and Digital Humanities, and an opportunity to investigate how young users of this application develop visual culture in their local environments through global visual languages. The present work analyzes the production of Instagram in Granada from a sample of 955.564 publications and 375.758 images published and geolocated over a year (between April 2017 and April 2018), with the aim of showing how the image of a city is socially constructed. The geographical, social network, and content analysis of the study sample has allowed to establish which are the main focal points of visual attraction of the city, as well as the most active neighborhoods and districts; the most relevant members of a user network that is self-constructed in a heterogeneous and open manner, with strong intermediary nodes of an “instagramist” style that connect subcommunities; as well as the widespread use of the application both for business promotion and for the development of individual creativity. All this indicates how the Instagram publications in Granada make visible the importance and incidence of tourism in the city.

Abstract

Many scientific applications deal with data from a multitude of different sources, e.g., measurements, imaging and simulations. Each source provides an additional perspective on the phenomenon of interest, but also comes with specific limitations, e.g. regarding accuracy, spatial and temporal availability. Effectively combining and analyzing such multimodal and partially incomplete data of limited accuracy in an integrated way is challenging. In this work, we outline an approach for an integrated analysis and visualization of the atmospheric impact of volcano eruptions. The data sets comprise observation and imaging data from satellites as well as results from numerical particle simulations. To analyze the clouds from the volcano eruption in the spatiotemporal domain we apply topological methods. We show that topology-related extremal structures of the data support clustering and comparison. We further discuss the robustness of those methods with respect to different properties of the data and different parameter setups. Finally we outline open challenges for the effective integrated visualization using topological methods. Document type: Part of book or chapter of book

Abstract

This paper presents the current status of VU-Flow (Visualization of Users’ Flow), a software tool that is able to automatically record usage data in Virtual Environments and provide a set of 2D and 3D visualizations that make it easy for an evaluator to visually detect peculiar users’ behaviors and navigability problems. The paper focuses on novel functionalities we recently added to the tool. More specifically, the new version of VU-Flow includes: (i) the possibility of visualizing predominant flow directions for multiple users or multiple visiting sessions, (ii) a visualization aimed at highlighting traffic congestion problems in multi-user VEs, (iii) the possibility of visualizing a replay of users’ visits together with audio and video recordings of actual users (e.g. gathered during lab experiments), and (iv) the ability to derive, for each user, a list of quantitative data characterizing her behavior in the VE. Document type: Part of book or chapter of book

Abstract

In this paper, we present the design and implementation of POSSE, a new, lightweight computational steering system based on a client/server programming model. We demonstrate the effectiveness of this software system by illustrating its use for a visualization client designed for a particularly demanding real-time application--wake-vortex simulations for multiple aircraft running on a parallel Beowulf cluster. We describe how POSSE is implemented as an object-oriented, class-based software library and illustrate its ease of use from the perspective of both the server and client codes. We discuss how POSSE handles the issue of data coherency of distributed data structures, data transfer between different hardware representations, and a number of other implementation issues. Finally, we consider how this approach could be used to augment AVOSS (an air traffic control system currently being developed by the FAA) to significantly increase airport utilization while reducing the risks of accidents. Document type: Part of book or chapter of book