Geographical Counterpoint to Choreographic Information based on Approaches in GIScience and Visualization

This study provides geographical counterpoint to existing knowledge of a dance piece through approaches from GIScience and visualization by focusing on spatio-temporal movement of dancers in a large dataset of the dance. The goal of this study is to introduce a new application to bridging art and science in the domain of dance and geography disciplines. The study utilizes existing methodologies in GIScience, including exploratory spatial data analysis (ESDA), spatial analysis, Relative Motion (REMO) analysis, and Qualitative Trajectory Calculus (QTC) analysis for the reasoning of the dance data. The results of the study demonstrate the following. First, spatio-temporal information in the dance can be better understood by using approaches in geography, including ESDA, spatial analysis, REMO analysis, QTC analysis, and visualization. Second, the REMO analysis measured relative azimuth, speed, and δ-speed of the dancers per space and time and intuitively visualized their interactions. Third, the QTC analysis showed an example of measuring similarity and difference between repetitive movements of the dancers. The study exhibits how approaches of GIScience in geography could contribute to finding new knowledge of choreographic information that has been, in general, hard to recognize through other disciplines such as dance and statistics

Visualization of Uncertain Boundaries of Undersea Features

There have been several studies that detect, measure, analyze, and visualize the undersea features by using technologies in multiple disciplines including geography and oceanography. However, definitions of the undersea features often vary among the existing leading literature. Due to this reason the geographical boundary for a certain undersea feature is sometimes not identical among the definitions. In this study, we explore semantic uncertainty in the definitions of some undersea features and apply approaches from fuzzy-set theory and geographic information science on empirical bathymetric data to visualize the uncertain boundaries of the undersea features. Results from this study demonstrate that the representation based on the fuzzy-set approach can be useful for dealing with the semantic uncertainty of the undersea features

Geographic Research on Hate Crimes and Incidents: Approaches for Advancing Inclusive Practices

COVID-19, originally reported in China, has brought an increase in anti-Asian and Asian American hate incidents and crimes in the United States. However, research on hate incidents and crimes are relatively new in the field of geography. To provide better ways to investigate hate crime incidents against Asians and Asian Americans during COVID-19, this article draws on various research methods from existing studies on hate crimes. Geographers have focused attention on minority groups linked to different geographic scales, and non-geographic studies have focused mainly on psychological symptoms and impacts on health. Even though existing studies have helped broaden the knowledge of the subject, the geographic aspects of the issue require further examination. This article suggests that geographers should pay more attention to four aspects of research in hate crimes and incidents for future research: avoiding oversimplified concepts, reconsidering relational aspects within the local community, identifying intersectionality and everydayness of people, and engaging more with the practice of the law enforcement and the local communities

Statistical counterpoint: knowledge discovery of choreographic information using spatio-temporal analysis and visualization

Temporal GIS has rapidly moved from concepts and methods that took its inspiration based on theories largely developed in a data-poor setting, to a situation where tools and theories are needed for large, individual-level, spatio-temporally detailed data sets. We present work to develop a rich data base on choreographic information and use it as a test-bed for existing geovisual approaches to temporal data. Our visual analysis demonstrates the ability of linked, multivariate displays to pull out distinct differences and similarities in activity patterns and temporal clustering. We also include illustrative animations that identify some practical limitations of existing exploratory software in dealing with large volumes of spatio-temporal data

Synchronous objects for one flat thing, reproduced

Synchronous Objects for One Flat Thing, reproduced is an interactive screen-based work developed by The Ohio State University\u27s Advanced Computing Center for the Arts and Design and the Department of Dance in collaboration with renowned choreographer William Forsythe. Pivoting on Forsythe\u27s masterwork of visual complexity, One Flat Thing, reproduced (OFTr), the Synchronous Objects project seeks to enrich cross-disciplinary investigation and creativity by revealing deep structures of choreographic thinking through a vivid collection of information objects in the form of 3D computer animation, annotation, and interactive graphics