3/22/2023 0 Comments Lumenrt 2020It expands on previous efforts and furthers our understanding of DH research with more recent DH literature and richer subject sources from the literature.Ĭollection management techniques used in map and geography libraries to describe and provide access to materials ensure researchers can engage with collections as viable sources of research data. This study utilizes a greater number of and richer subject sources than previous efforts to identify the overall intellectual structures of DH research based on key terms from titles, abstracts and author keywords. Finally, leading DH research contributors (authors, institutions and nations) are also identified. ![]() Through both term frequency and term co-occurrence relationship networks, this study further identifies four major reoccurring topics and themes of DH research: (1) collections and contents (2) technologies, techniques, theories and methods (3) collaboration, interdisciplinarity and support and (4) DH evolution. The research output and scope of DH topics has grown over time with a widening and deepening field in four major development stages. The study applies bibliometric methods, social network analysis and visualization tools to conduct a longitudinal examination. Based on a sample of directly relevant DH literature during 2005–2020 from Web of Science, the study conducts a longitudinal examination of the research output, intellectual structures and contributors. This study aims to update and extend previous efforts gauging the status of the quickly evolving field of digital humanities (DH). Our approach to create visceral experiences of forests under climate change can facilitate communication among experts, policy-makers, and the general public. A system evaluation with experts in ecology provided positive feedback and future topics for a comprehensive ecosystem visualization and analysis approach. Data visualization, environment exploration, and information retrieval were realized using the Unreal Engine. Procedural rules allowed us to efficiently and reproducibly translate the parameters into a simulated forest. We converted the model output (e.g., tree biomass) into parameters required for 3D visualizations with analytical modeling. ![]() We mapped current tree species composition in northern Wisconsin using the Forest Inventory and Analysis (FIA) data and then forecast forest change 50 years into the future under two climate scenarios using LANDIS-II, a spatially-explicit, mechanistic simulation model. In this paper, we linked ecological modeling, procedural modeling, and virtual reality to provide an immersive experience of a future forest. ![]() Immersive visualizations and experiences offer an intuitive, visceral approach to otherwise rather abstract concepts, but creating them scientifically is challenging. Communicating and understanding climate induced environmental changes can be challenging, especially using traditional representations such as graphs, maps or photos.
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