Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Keyword
-
- GIS (3)
- Accuracy assessment (1)
- Agent-based model (1)
- Air Pollution (1)
- Band selection (1)
-
- Bi-objective model (1)
- Biota assessments (1)
- Built environment (1)
- Chloride (1)
- Choreography (1)
- Complex models (1)
- Corrosiveness (1)
- Crash (1)
- Data (1)
- Describing (1)
- Environmental Justice (1)
- Equity (1)
- Exploratory (1)
- Exploratory analysis (1)
- Farming communities (1)
- Field spectrometer (1)
- Fine Particulate Matter (1)
- Freshwater Salinization (1)
- GIScience (1)
- Genericity (1)
- Geography (1)
- Geospatial data (1)
- Keyword Network Analysis (1)
- Korean tourism (1)
- LittoSIM-GEN (1)
Articles 1 - 14 of 14
Full-Text Articles in Social and Behavioral 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 …
Exploring The Potential Of Feature Selection Methods In The Classification Of Urban Trees Using Field Spectroscopy Data, Simbarashe Jombo, Elhadi Adam, Marcus J. Byrne, Khalid Adem Ali, Solomon W Newete
Exploring The Potential Of Feature Selection Methods In The Classification Of Urban Trees Using Field Spectroscopy Data, Simbarashe Jombo, Elhadi Adam, Marcus J. Byrne, Khalid Adem Ali, Solomon W Newete
International Journal of Geospatial and Environmental Research
Mapping of vegetation at the species level using hyperspectral satellite data can be effective and accurate because of its high spectral and spatial resolutions that can detect detailed information of a target object. Its wide application, however, not only is restricted by its high cost and large data storage requirements, but its processing is also complicated by challenges of what is known as the Hughes effect. The Hughes effect is where classification accuracy decreases once the number of features or wavelengths passes a certain limit. This study aimed to explore the potential of feature selection methods in the classification of …
Scale Mis-Matches When Assessing Chloride Concentration And Corrosiveness Using Statewide Data For Trend Analysis, Rebecca L. Kauten
Scale Mis-Matches When Assessing Chloride Concentration And Corrosiveness Using Statewide Data For Trend Analysis, Rebecca L. Kauten
International Journal of Geospatial and Environmental Research
This study compares chloride concentrations and a series of corrosiveness indexes to determine whether trends in statewide databases appropriately detect local conditions. Chloride concentrations in local, urban streams generally persist at higher levels than what is typical of natural waters. Data collected for statewide water quality assessments are often at a broader geographical scale. Results and subsequent policies may indicate little to no environmental concern, meanwhile degradation at the local scale remains relatively undetected. Pulses of local snowmelt runoff may violate water quality criteria, but long-term trends measured at the statewide scale are in decline. Results highlight the need for …
A Neighborhood-Level Perspective Of Real Estate Determinants In Three U.S. Cities, Mikhail Samarin, Madhuri Sharma
A Neighborhood-Level Perspective Of Real Estate Determinants In Three U.S. Cities, Mikhail Samarin, Madhuri Sharma
International Journal of Geospatial and Environmental Research
This study examines the relationships between commonly available socio-economic and environmental determinants of real estate (crime, quality of schools, racial/ethnic diversity, and built environment) and real estate values in socially and politically recognized units in the three largest cities of the U.S.—New York, Los Angeles, and Chicago. Utilizing a variety of data sources used by potential real estate buyers, we conduct correlations, mapping, and multiple regression analyses to identify the degrees and strengths of associations between select determinants and real estate values at these politically recognized units. Results suggest that the cities exhibit similar patterns for crime-related characteristics and quality …
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 …
Green To Gray: Political Ecology Of Paving Over Green Spaces In Moscow, Russia, Mikhail S. Blinnikov, Liudmila Volkova
Green To Gray: Political Ecology Of Paving Over Green Spaces In Moscow, Russia, Mikhail S. Blinnikov, Liudmila Volkova
International Journal of Geospatial and Environmental Research
Moscow, Russia is the largest city in Europe with over 12.6 million residents. The remarkable fact is that it is also a biologically diverse ecosystem with a few dozen specially protected natural areas, including 15 large forest parks and a variety of smaller nature-places. The recent landscaping “improvements” conducted by the Moscow government since 2010 greatly increased negative impacts on the green infrastructure, e.g., a lot more paving, systematic grass mowing, widespread planting of exotic plant species, increased residential and commercial construction, more noise, etc. While quantification of the impacts of the above on the biota is not easy, we …
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 …
Mapping And Describing Geospatial Data To Generalize Complex Models: The Case Of Littosim-Gen, Ahmed Laatabi, Nicolas Becu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, Xavier Bertin, Brice Anselme, Elise Beck
Mapping And Describing Geospatial Data To Generalize Complex Models: The Case Of Littosim-Gen, Ahmed Laatabi, Nicolas Becu, Nicolas Marilleau, Cécilia Pignon-Mussaud, Marion Amalric, Xavier Bertin, Brice Anselme, Elise Beck
International Journal of Geospatial and Environmental Research
For some scientific questions, empirical data are essential to develop reliable simulation models. These data usually come from different sources with diverse and heterogeneous formats. The design of complex data-driven models is often shaped by the structure of the data available in research projects. Hence, applying such models to other case studies requires either to get similar data or to transform new data to fit the model inputs. It is the case of agent-based models (ABMs) that use advanced data structures such as Geographic Information Systems data. We faced this problem in the LittoSIM-GEN project when generalizing our participatory flooding …
Qualitative Analysis Of Users’ Negative Reviews On Tripadvisor: International Tourists’ Reviews On Gyeongbokgung Palace In Seoul, Korea, Jung Eun Hong
Qualitative Analysis Of Users’ Negative Reviews On Tripadvisor: International Tourists’ Reviews On Gyeongbokgung Palace In Seoul, Korea, Jung Eun Hong
International Journal of Geospatial and Environmental Research
With the rise of Internet, many people have shared quantitative and qualitative feedback on their travel experiences on travel websites. As the largest travel site, TripAdvisor allows users to post reviews; conduct discussions with other users; and rate destinations, hotels, restaurants, and attractions. Through thematic and discourse analysis of user reviews on TripAdvisor, this study gives tourists’ negative reviews of visiting Gyeongbokgung Palace in Seoul, Korea. The study findings show that tourists evaluated the palace was not real, impressive, interesting, tourist friendly, and neither was it worth visiting. The findings of this study may be helpful in expanding research scopes …
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.
A Pilot Study On The Relationship Between Urban Green Spaces And Fine Particulate Matter, Sohyun Park, Seungman Kim, Jaehoon Lee
A Pilot Study On The Relationship Between Urban Green Spaces And Fine Particulate Matter, Sohyun Park, Seungman Kim, Jaehoon Lee
International Journal of Geospatial and Environmental Research
This study aims at identifying the relationships among various variables that influence city-wide PM2.5 pollution levels in the six largest cities in Texas. The variables were categorized into three groups for statistical analysis: 1) urban components (city land area, urban population, population density); 2) green space components (coverage, percentage, connectivity, and shape); and 3) meteorological factors (ambient temperature and wind speed). To identify the relationship between meteorological features and daily PM2.5 concentration, we used descriptive statistics for each city and all six cities combined. A bivariate statistical test was used to examine the correlation between urban and green …
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 …
Special Thanks To Reviewers 2018-2019, Woonsup Choi
Special Thanks To Reviewers 2018-2019, Woonsup Choi
International Journal of Geospatial and Environmental Research
Sincere thanks are extended to the following individuals who reviewed manuscripts submitted to the International Journal of Geospatial and Environmental Research during the period of 1 January 2018 to 31 December 2019.