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Social and Behavioral Sciences Commons™
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Articles 1 - 14 of 14
Full-Text Articles in Social and Behavioral Sciences
Exploring Micro-Scale Spatiotemporal Dynamics Of Restaurant Entrepreneurship With Public Open Data, Chanwoo Jin, Alan T. Murray
Exploring Micro-Scale Spatiotemporal Dynamics Of Restaurant Entrepreneurship With Public Open Data, Chanwoo Jin, Alan T. Murray
International Journal of Geospatial and Environmental Research
Commercial activities within a city have competed to attract people, and the interactions between these activities have affected urban dynamics. Among many services, the restaurant business accounts for a significant portion of the urban economy, with spatiotemporal variations in survivability reflecting crucial signs of changes in urban structure. This study aims to identify the patterns of spatiotemporal changes in restaurants locations to deepen our understanding of urban dynamics. Studies have utilized a variety of data sources, including social media and consumer review services, but they cover relatively short periods and focus on currently operating businesses. Public open data, however, offers …
Characterizing Clustering Models Of High-Dimensional Remotely Sensed Data Using Subsampled Field-Subfield Spatial Cross-Validated Random Forests, Andrew B. Whetten
Characterizing Clustering Models Of High-Dimensional Remotely Sensed Data Using Subsampled Field-Subfield Spatial Cross-Validated Random Forests, Andrew B. Whetten
International Journal of Geospatial and Environmental Research
Clustering models are regularly used to construct meaningful groups of observations within complex datasets, and they are an exceptional tool for spatial exploratory analysis. The clusters detected in a recent spatio-temporal cluster analysis of leaf area index (LAI) in the Columbia River Basin (CRB) require further investigation since they are only derived using a single greenness metric. It is of great interest to further understand how greening indices can be used to determine separation of sites across an array of remotely sensed environmental attributes. In this prior work, there are highly localized minority clusters that were detected to be most …
Short-Term Slope Changes On Dokdo Island Identified From Ground-Based 3d Lidar Data, Jihyun Kang, Hyejin Kim, Jaegeum Park, Hyunchul Shin
Short-Term Slope Changes On Dokdo Island Identified From Ground-Based 3d Lidar Data, Jihyun Kang, Hyejin Kim, Jaegeum Park, Hyunchul Shin
International Journal of Geospatial and Environmental Research
This study was designed to determine the slope changes on Dokdo Island, focusing on Seodo islet (slopes consisting of colluvial debris) and Dongdo islet (slopes consisting of large-scale tafoni). To do so, we obtained high-resolution 3D LiDAR data in May and November 2020 and calculated the changes in slope shape and volume over this period. Our results showed that during this time, approximately 136 m3 of colluvial debris was removed from the slopes of Seodo islet and a boulder that had separated from the massive tuff breccia migrated approximately 5 cm downslope. The major causes of such rapid changes …
The Spatial Patterns Of Pluvial Flood Risk, Blue-Green Infrastructure, And Social Vulnerability: A Case Study From Two Alaskan Cities, Arun K. Pallathadka, Heejun Chang, Idowu Ajibade
The Spatial Patterns Of Pluvial Flood Risk, Blue-Green Infrastructure, And Social Vulnerability: A Case Study From Two Alaskan Cities, Arun K. Pallathadka, Heejun Chang, Idowu Ajibade
International Journal of Geospatial and Environmental Research
Flooding is a serious form of natural hazard in Alaska, USA. Two of Alaska’s biggest cities, Anchorage and Fairbanks, have experienced flooding of varying magnitude since the cities were first settled in the early 20th century. Although flood mitigation measures such as blue-green infrastructure (BGI) are rising in prominence, the spatial relationship of BGI, urban pluvial flood (UPF) zone, and social vulnerability remains understudied. This study delineates the UPF zone of Anchorage and Fairbanks using the Blue Spot modeling and correlates it with the distribution of BGI at Census Block Group (CBG) scale, focusing on underlying social vulnerability using a …
Measuring Spatio-Temporal Responses To Hurricane Matthew Employing Twitgis, Seungil Yum
Measuring Spatio-Temporal Responses To Hurricane Matthew Employing Twitgis, Seungil Yum
International Journal of Geospatial and Environmental Research
This study explores spatio-temporal responses to Hurricane Matthew across the US states by analyzing Twitter data. This study finds that people in different states and periods respond differently to Hurricane Matthew. For instance, people in the Midwest and Northeast regions show a high proportion of tweets in the pre-hurricane period. Those in the Southeast region demonstrate a high proportion of those in the hurricane period, and those in the West region show a high proportion of those in the post-hurricane period. This study also finds that people increase long distance trips (over 100 km) and decrease short distance trips (within …
Geospatial Technology In Sustainable Cities And Communities: Introduction To The Special Issue, Siti Aekbal Salleh, Zulkiflee Abd Latif, Nazri Che Dom
Geospatial Technology In Sustainable Cities And Communities: Introduction To The Special Issue, Siti Aekbal Salleh, Zulkiflee Abd Latif, Nazri Che Dom
International Journal of Geospatial and Environmental Research
This special issue aims to demonstrate how we could leverage geospatial technology for sustainable cities and communities. Contributions on a wide range of geospatial technologies (e.g., GIS, remote sensing, spatial statistics, photogrammetry, and geomatics) as well as issues addressing better cities and communities for a sustainable future are encouraged. This issue contains selected papers from the 7th International Conference on Geomatics and Geospatial Technology (GGT) 2021, which took place in Kuala Lumpur, Malaysia, on 24th March 2021. The five articles selected for this special issue demonstrate how geospatial technology can be used to create more sustainable cities and communities. The …
Geological Lineament Assessment From Passive And Active Remote Sensing Imageries, Ainyyafiatty Arifin, Nor A. Adnan
Geological Lineament Assessment From Passive And Active Remote Sensing Imageries, Ainyyafiatty Arifin, Nor A. Adnan
International Journal of Geospatial and Environmental Research
Lineament is any extensive linear feature on the Earth’s surface that can be identified when there is a change in the topographical data. The advancement of technologies in remote sensing and Geographical Information Sciences (GIS) lead to the various studies and methods in mapping lineaments due to the availability of data from small to large scale areas. Lineament can be extracted from remote sensing data either with manual, semi-automatic or automatic image processing techniques that incorporate in numerous remote sensing and GIS software. Manually digitizing or tracing the aerial photograph is a subjective method as the lineament will be interpreted …
Mapping For Indoor Walking Environment From Point Clouds By Using Mobile Mapping Systems, Nurfadhilah Ruslan, Nabilah Naharudin, Abdul Hakim Salleh, Maisarah Abdul Halim, Zulkiflee Abd Latif
Mapping For Indoor Walking Environment From Point Clouds By Using Mobile Mapping Systems, Nurfadhilah Ruslan, Nabilah Naharudin, Abdul Hakim Salleh, Maisarah Abdul Halim, Zulkiflee Abd Latif
International Journal of Geospatial and Environmental Research
Walkability is one of the issues to be addressed in the planning of smart urban cities. Although, there is a substantial amount of studies on outdoor walking pedestrian, limited study has been done to address indoor walkability. Recently, most of the pedestrians are likely to use indoor route than outdoor route to protect themselves from sun and rain as most of the indoor routes are located on the buildings such as shopping mall and rail transit station. Therefore, it important to collect all the relevant information in the indoor building to addressed the walkability issues. The GeoSLAM ZEB REVO scanner …
A Comparative Study Of Delineated Watersheds Using Aster And Srtm In Johor, Malaysia, Nafisah Khalid, Maisarah Abdul Halim, Siti Nur A’Tirah Shahimi
A Comparative Study Of Delineated Watersheds Using Aster And Srtm In Johor, Malaysia, Nafisah Khalid, Maisarah Abdul Halim, Siti Nur A’Tirah Shahimi
International Journal of Geospatial and Environmental Research
The availability of watershed delineation that has been generated from DEM data is difficult to obtain and the accessibility of DEM data which are unrestricted and precise are hard to obtain in Malaysia. The aim of this study is to examine the accuracy of watershed delineation between Digital Elevation Model (DEM) from ASTER and SRTM in Johor State Malaysia. In this study, free online data sources from USGS website are used to delineate watershed from ASTER and SRTM satellite imageries. The hydrological modelling tool namely ArcSWAT is utilized to delineate watersheds for both DEM datasets. Both DEM data that had …
Travel Time Patterns Of Students With Special Needs To Special Education Integrated Program-Based Schools In Johor Bahru, Malaysia: An Initial Finding, Nurul Hawani Idris, Nur Afiqah Ahmad Bakhtiar, Mohamad Hafis Izran Ishak
Travel Time Patterns Of Students With Special Needs To Special Education Integrated Program-Based Schools In Johor Bahru, Malaysia: An Initial Finding, Nurul Hawani Idris, Nur Afiqah Ahmad Bakhtiar, Mohamad Hafis Izran Ishak
International Journal of Geospatial and Environmental Research
Education for all has been a global priority to ensure that all students have equal access to high-quality education regardless of disability or minority status. In Malaysia, the special education integrated programme (SEIP) is designed to close the inequality gap by integrating special education into existing government and vernacular schools. Numerous studies examine the travel patterns of regular students to school, resulting in a dearth of research on the travel patterns of special needs students to formal school. Thus, this paper uses spatial analysis to demonstrate the travel patterns of students with special needs to SEIP schools. This paper demonstrated …
Geospatial Clustering And Hot Spot Detection Of Covid-19 Incidence In 2020: A Global Analysis, Munazza Fatima, Sana Arshad, Ibtisam Butt, Saba Arshad
Geospatial Clustering And Hot Spot Detection Of Covid-19 Incidence In 2020: A Global Analysis, Munazza Fatima, Sana Arshad, Ibtisam Butt, Saba Arshad
International Journal of Geospatial and Environmental Research
Emergence and spread of Covid-19 initiated diversified researches based on spatial analysis in visualization, exploration, and modelling of this infection. This short communication is an attempt to comprehend the geographic distribution and spatial clustering of Covid-19 in year 2020. Main objective is to spatially analyze Covid-19 incidence rates, identification of hotspots and clusters outliers at global level. Monthly data of reported cases were taken from World Health Organization dashboard and situation reports. Incidence rate was calculated for each country for each month. Spatial autocorrelation techniques of Global Moran are I and Anselian Local Moran’s I were used to examine the …
Measuring Social Vulnerability In Transit Deserts Of United States Metro Areas, Junfeng Jiao, Josh Conrad, Amin Azimian
Measuring Social Vulnerability In Transit Deserts Of United States Metro Areas, Junfeng Jiao, Josh Conrad, Amin Azimian
International Journal of Geospatial and Environmental Research
This study was aimed at identifying areas in the US that need both transit improvements and anti-displacement protection. First, rather than focusing on transit-dependent populations, we developed a new method of accounting for overall transportation demand among independent residents in comparison with public transit supply. Next, we analyzed transit deserts in metro areas using the social vulnerability index. Results indicated that living in transit deserts across 200 metro areas today are approximately 24.6 million people, of which about 19% live below the poverty line. Additionally, residents of transit deserts exhibit, on average, a social vulnerability that is approximately 21% higher …
Evaluation Of Spatio-Temporal Land Use And Land Cover Dynamics Using Geospatial Technologies: The Case Of Majang Zone, Ethiopia, Girma Alemu Melka, Muluneh Woldetsadik Abshare
Evaluation Of Spatio-Temporal Land Use And Land Cover Dynamics Using Geospatial Technologies: The Case Of Majang Zone, Ethiopia, Girma Alemu Melka, Muluneh Woldetsadik Abshare
International Journal of Geospatial and Environmental Research
The dynamics of land use-land cover changes is one of the phenomena which interweave the socio-economic, political, and environmental issues in Ethiopia. This study investigated the land use-land cover (LULC) changes in the Majang Zone of Gambela Region, Ethiopia over a period of 33 years from 1985 to 2018. Four sets of Landsat imageries (i.e.,1985, 1996, 2007, and 2018) were the input data from which LULC maps were produced and analyzed using remote sensing and GIS applications. Concurrently, key informants’ interviews, focus group discussions, and questionnaires were used to identify and describe the drivers of LULC changes. The LULC change …
Special Thanks To Reviewers 2020, Woonsup Choi
Special Thanks To Reviewers 2020, Woonsup Choi
International Journal of Geospatial and Environmental Research
Sincere thanks are extended to the individuals who reviewed manuscripts for International Journal of Geospatial and Environmental Research during the period of 1 January to 31 December 2020.