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Articles 1 - 6 of 6
Full-Text Articles in Geographic Information Sciences
Geographical Counterpoint To Choreographic Information Based On Approaches In Giscience And Visualization, Hyowon Ban, Ola Ahlqvist
Geographical Counterpoint To Choreographic Information Based On Approaches In Giscience And Visualization, Hyowon Ban, Ola Ahlqvist
International Journal of Geospatial and Environmental Research
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 …
A Comparison Of Network Clustering Algorithms In Keyword Network Analysis: A Case Study With Geography Conference Presentations, Youngho Lee, Yubin Lee, Jeong Seong, Ana Stanescu, Chul Sue Hwang
A Comparison Of Network Clustering Algorithms In Keyword Network Analysis: A Case Study With Geography Conference Presentations, Youngho Lee, Yubin Lee, Jeong Seong, Ana Stanescu, Chul Sue Hwang
International Journal of Geospatial and Environmental Research
The keyword network analysis has been used for summarizing research trends, and network clustering algorithms play important roles in identifying major research themes. In this paper, we performed a comparative analysis of network clustering algorithms to find out their performances, effectiveness, and impact on cluster themes. The AAG (American Association for Geographers) conference datasets were used in this research. We evaluated seven algorithms with modularity, processing time, and cluster members. The Louvain algorithm showed the best performance in terms of modularity and processing time, followed by the Fast Greedy algorithm. Examining cluster members also showed very coherent connections among cluster …
Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian
Triple Threat Gateway? Respiratory Health, Demographics And Land Use In Metro East St. Louis, Missouri-Illinois, Usa, Stacey R. Brown-Amilian
International Journal of Geospatial and Environmental Research
This paper examines a triple threat for residents of two counties in the St. Louis metropolitan area. Previous environmental justice research has focused on demographics and toxic facilities. This research builds upon those assessments by incorporating hospital discharge data and demographics as well as three different types of pollution sources. Air pollution monitors were unavailable to use during the time period of 2009-2011, therefore proxy measures of pollution in the form of major roadways, industrial land use parcels, and toxic facility information from the EPA Toxic Release Inventory are utilized. This study integrates both spatial coincidence and proximity analysis methods …
A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang
A Conceptual Agent-Based Model Of Farming Households’ Vulnerability To Winter Storms, Yiyi Zhang
International Journal of Geospatial and Environmental Research
Vulnerability assessments are implemented to identify regions and groups at risk and factors that need to be addressed to reduce vulnerability. Existing assessments have allowed multidimensional factors to be examined in various settings and adopted complex models to simulate human-environment-weather interactions. However, these models are far less accessible than traditional models due to model abstraction and there has been limited research detailing a formalized way to simulate the interactions between rural households and external changes in response to a specific extreme weather event. To supplement applied efforts in vulnerability assessments and address the challenge in communicating agent-based models, this study …
Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou
Exploratory Spatial Data Analysis In Traffic Safety, Amin Azimian, Dimitra Pyrialakou
International Journal of Geospatial and Environmental Research
This paper presents an exploratory spatial data analysis (ESDA) of road traffic crashes at different severity levels in West Virginia (WV). Although ESDA can support transportation safety decision-making by helping planners understand and summarize crash data, it is underutilized in practice. This paper describes the application of five representative easy-to-use method to identify crash patterns and high crash-risk counties in WV. Analysis of crash data from 2010 to 2015 indicated that traffic crashes in WV were not spatially correlated. However, crash severities were found to be positively correlated.
Enhancing Equity In Public Transportation Using Geographic Information Systems And Spatial Optimization, Ho-Seop Cha, Alan T. Murray
Enhancing Equity In Public Transportation Using Geographic Information Systems And Spatial Optimization, Ho-Seop Cha, Alan T. Murray
International Journal of Geospatial and Environmental Research
Public transportation is a vital part of urban living. For instance, public transportation services help reduce road congestion, oil consumption and air pollution, and they serve people who need to travel throughout urban environments at the same time do not have access to private vehicles. The latter aspect is an important matter of social justice. Therefore, it is important to understand why the interest in equity in transport is growing, why public transportation should favor the transport disadvantaged, and why analyses of equity measurement and improvement are needed. Measuring the level of access to public transportation among the transport disadvantaged …