Immersive GeoDesign: Exploring the Built Environment through the Coupling of GeoDesign, 3D Modeling, and Immersive Geography

GeoDesign is a relatively new field that serves as a repurposing of many different disciplines concerned with design decisions about the built environment. More specifically, GeoDesign represents a coupling of urban planning concepts with the analytical capabilities of GIS. While GIS has been used in planning mostly in the two-dimensional realm, the built environment is three-dimensional and challenges GIS in the handling of the vertical dimension, notably in floor-by-floor uses in mixed-use developments, basement-level parking, light capture, and intervisibility between structures. This research advances GeoDesign by addressing these three-dimensional issues through the utilization of highly-detailed 3D models using Trimble SketchUp, the mass-model generation power of ERSI\u27s CityEngine, and the immersive Geo-Virtual CAVE at West Virginia University to explore these issues through an Immersive GeoDesign case study of the city of Morgantown, WV

Automating content generation for large-scale virtual learning environments using semantic web services

The integration of semantic web services with three-dimensional virtual worlds offers many potential avenues for the creation of dynamic, content-rich environments which can be used to entertain, educate, and inform. One such avenue is the fusion of the large volumes of data from Wiki-based sources with virtual representations of historic locations, using semantics to filter and present data to users in effective and personalisable ways. This paper explores the potential for such integration, addressing challenges ranging from accurately transposing virtual world locales to semantically-linked real world data, to integrating diverse ranges of semantic information sources in a usercentric and seamless fashion. A demonstrated proof-of-concept, using the Rome Reborn model, a detailed 3D representation of Ancient Rome within the Aurelian Walls, shows several advantages that can be gained through the use of existing Wiki and semantic web services to rapidly and automatically annotate content, as well as demonstrating the increasing need for Wiki content to be represented in a semantically-rich form. Such an approach has applications in a range of different contexts, including education, training, and cultural heritage

Geospatial Computing: Architectures and Algorithms for Mapping Applications

Beginning with the MapTube website (1), which was launched in 2007 for crowd-sourcing maps, this project investigates approaches to exploratory Geographic Information Systems (GIS) using web-based mapping, or ‘web GIS’. Users can log in to upload their own maps and overlay different layers of GIS data sets. This work looks into the theory behind how web-based mapping systems function and whether their performance can be modelled and predicted. One of the important questions when dealing with different geospatial data sets is how they relate to one another. Internet data stores provide another source of information, which can be exploited if more generic geospatial data mining techniques are developed. The identification of similarities between thousands of maps is a GIS technique that can give structure to the overall fabric of the data, once the problems of scalability and comparisons between different geographies are solved. After running MapTube for nine years to crowd-source data, this would mark a natural progression from visualisation of individual maps to wider questions about what additional knowledge can be discovered from the data collected. In the new ‘data science’ age, the introduction of real-time data sets introduces a new challenge for web-based mapping applications. The mapping of real-time geospatial systems is technically challenging, but has the potential to show inter-dependencies as they emerge in the time series. Combined geospatial and temporal data mining of realtime sources can provide archives of transport and environmental data from which to accurately model the systems under investigation. By using techniques from machine learning, the models can be built directly from the real-time data stream. These models can then be used for analysis and experimentation, being derived directly from city data. This then leads to an analysis of the behaviours of the interacting systems. (1) The MapTube website: http://www.maptube.org

Computational Thinking across the Curriculum: A Conceptual Framework

We describe a framework for implementing computational thinking in a broad variety of general education courses. The framework is designed to be used by faculty without formal training in information technology in order to understand and integrate computational thinking into their own general education courses. The framework includes examples of computational thinking in a variety of general education courses, as well as sample in-class activities, assignments, and other assessments for the courses. The examples in the different courses are related and differentiated using categories taken from Peter Denning’s Great Principles of Computing, so that similar types of computational thinking appearing in different contexts are brought together. This aids understanding of the computational thinking found in the courses and provides a template for future work on new course materials

The Educational Experience of Virtual Reality: An Archaeological Case Study of the Maya Site, Vista Alegre

Archaeological visualization has a long history within the discipline, relying on technological advancements to aid in recording, interpreting, and educating about sites and projects. Though computer graphics have been used as archaeological visualizations for decades, hardware advancements have begun to allow for broader consumer use of Virtual and Augmented Reality platforms in homes, schools, and museums. This thesis explores the applications of Virtual and Augmented Reality platforms for archaeological visualization, specifically in the area of public education. To this end, a 3D model and virtual experience of the Maya site of Vista Alegre in Mexico are created, methodologically explained, and examined to relate history, theory, and the goals of utilizing this medium within the archaeological discipline while expanding on the ethical requirements and empirical methods of praxis. In all, this technology both produces tangible, quantifiable, and accurate data and makes these data more accessible to the general public. Image from Proskouriakoff (1970[1946]

Socially Beneficial Metaverse: Framework, Technologies, Applications, and Challenges

In recent years, the maturation of emerging technologies such as Virtual Reality, Digital twins, and Blockchain has accelerated the realization of the metaverse. As a virtual world independent of the real world, the metaverse will provide users with a variety of virtual activities that bring great convenience to society. In addition, the metaverse can facilitate digital twins, which offers transformative possibilities for the industry. Thus, the metaverse has attracted the attention of the industry, and a huge amount of capital is about to be invested. However, the development of the metaverse is still in its infancy and little research has been undertaken so far. We describe the development of the metaverse. Next, we introduce the architecture of the socially beneficial metaverse (SB-Metaverse) and we focus on the technologies that support the operation of SB-Metaverse. In addition, we also present the applications of SB-Metaverse. Finally, we discuss several challenges faced by SB-Metaverse which must be addressed in the future.Comment: 28 pages, 6 figures, 3 table

Modifying Wave Function Collapse for more Complex Use in Game Generation and Design

Wave Function Collapse (WFC) is an image-based Procedural Content Generation (PCG) algorithm that uses constraints extracted from an input image to generate a similar, yet novel output. The goal of this thesis is to modify WFC with extra constraints and parameters that would allow a game designer to have more control over the algorithm to produce more varied and specific results. This thesis introduces the field of Procedural Content Generation (of which Wave Function Collapse is a part) and details the WFC algorithm. It then examines past work done in these two topics, along with developments in the field of content generation for the game Super Mario Bros. and developments of heuristics used to analyze PCG content. The thesis next explains the specifics of WFC’s core algorithm, introduces the new modifications made to it, and details heuristics used to analyze its output. Finally, experiments are run using these modifications to generate content using levels from the original Super Mario Bros. as input, and previously introduced heuristics are used to assess the results