Artificial intelligence and visual analytics in geographical space and cyberspace: Research opportunities and challenges

In recent decades, we have witnessed great advances on the Internet of Things, mobile devices, sensor-based systems, and resulting big data infrastructures, which have gradually, yet fundamentally influenced the way people interact with and in the digital and physical world. Many human activities now not only operate in geographical (physical) space but also in cyberspace. Such changes have triggered a paradigm shift in geographic information science (GIScience), as cyberspace brings new perspectives for the roles played by spatial and temporal dimensions, e.g., the dilemma of placelessness and possible timelessness. As a discipline at the brink of even bigger changes made possible by machine learning and artificial intelligence, this paper highlights the challenges and opportunities associated with geographical space in relation to cyberspace, with a particular focus on data analytics and visualization, including extended AI capabilities and virtual reality representations. Consequently, we encourage the creation of synergies between the processing and analysis of geographical and cyber data to improve sustainability and solve complex problems with geospatial applications and other digital advancements in urban and environmental sciences

Terrestrial laser scanning for deformation monitoring: Load tests on the Felsenau Viaduct (CH)

In conjunction with future renovation work on the 33-year-old Felsenau viaduct (CH), which is part of the Swiss highway A1 and one of the most remarkable concrete bridge structures in Switzerland, load tests were performed for evaluating the fatigue resistance and refining the analytical models. The bridge girder was therefore loaded with more than 100 tons. The Institute of Geodesy and Photogrammetry at ETH Zurich was responsible for deformation monitoring during the load tests. In addition to traditional surveying methods such as precise levelling and tacheometry, terrestrial laser scanning was performed for the detection of deformations. This paper presents unique load tests on the Felsenau viaduct as well as results of deformation monitoring with focus on measurements by terrestrial laser scanning. Furthermore, a comparison of terrestrial laser scanning and precise levelling isdescribed.ISSN:1682-1750ISSN:2194-9034ISSN:1682-177

State v. Olivas Appellant\u27s Brief Dckt. 41804

https://digitalcommons.law.uidaho.edu/not_reported/2810/thumbnail.jp