Jeong Chang Seong
Biographic Data
| ID | 6746501 |
|---|---|
| NAME | Jeong Chang Seong |
| GIVEN NAMES | Jeong Chang |
| FAMILY NAME | Seong |
| SIGNATURE | SEONG J C |
| AFFILIATIONS | University of West Georgia |
| ORCID | 0000-0001-9969-8063 |
| VERIFIED | Yes |
| TOTAL WORKS | 9 |
| TOTAL CITATIONS | 1 |
| WORKS AS AUTHOR | 9 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2001 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Uncovering Fishing Area Patterns Using Convolutional Autoencoder and Gaussian Mixture Model on Viirs Nighttime Imagery
The availability of nighttime satellite imagery provides unique opportunities for monitoring fishing activity in data-sparse ocean regions. This study leverages Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band monthly composite imagery to identify and classify recurring spatial patterns of fishing activity in the Korean Exclusive Economic Zone from 2014 to 2024. While prior research has primarily produced static hotspot maps, our …
Beyond the Road
Traffic congestion not only affects traffic flow but also influences public perception of congested regions. While analyzing congestion at the road section level can help identify engineering solutions, it often fails to reveal broader spatial patterns and trends at the regional or macro scale unless summarized effectively. This study aims to address these challenges by focusing on regional-scale traffic congestion amounts measured by distanceTim…
Quantifying Percent Traffic Congestion (pTC) and Mobility Bottleneck Dynamics at Atlanta’s Spaghetti Junction
Highway interchanges are vulnerable components of transport networks, often prone to congestion and crashes. Traditional monitoring methods like loop detectors or travel time queries often fail to capture the granular spatiotemporal distribution of bottlenecks in detail. To address this gap, this study introduces a new approach to quantify congestion and analyze bottleneck dynamics at Atlanta’s Tom Moreland Interchange, one of the nation’s most c…
Measuring Traffic Congestion with Novel Metrics
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using the Hägerstrand’s space-time cube that has been studied from time geography perspectives since the 1960s. Particularly, the product of distance and time, i.e., distanceTime, is proposed as a base…
Who is the bigger culprit? Studying impacts of traffic and land use on noise levels in CBD area of Karachi, Pakistan
Early Holocene dune activity linked with final destruction of Glacial Lake Minong, eastern Upper Michigan, USA
The early Holocene final drainage of glacial Lake Minong is documented by 21 OSL ages on quartz sand from parabolic dunes and littoral terraces and one radiocarbon age from a lake sediment core adjacent to mapped paleoshorelines in interior eastern Upper Michigan. We employ a simple model wherein lake-level decline exposes unvegetated littoral sediment to deflation, resulting in dune building. Dunes formed subsequent to lake-level decline prior t…
Length-Preserving Thinning Algorithm for Line Extraction from Landcover Data
This article presents a methodology to automate linear feature generalization from image data using a length-preserving thinning algorithm. Conventional thinning algorithms on raster data produce erroneous skeletons at the river edges in the estuary of a river and in the perimeter of the input data. A river skeleton should be connected to the sea through the centre line of an estuary. A related problem is that of shortened skeletons resulting fro…
Assessing Resampling Accuracy of Categorical Data Using Random Points
Tissot's Indicatrix and regular grids have been used for assessing map projection accuracies. Despite their broad applicability for accuracy assessment, they have limitations in quantifying resampling errors caused by map projections. This is due to the structural uncertainty with regard to the placement and pattern of grids. It is also difficult to calculate the absolute amount of resampling error in each projection. As an alternative to traditi…
All Equal-Area Map Projections Are Created Equal, But Some Are More Equal Than Others
High-resolution regional and global raster databases are currently being generated for a variety of environmental and scientific modeling applications. The projection of these data from geographic coordinates to a plane coordinate system is subject to significant areal error. Sources of error include users selecting an inappropriate projection or incorrect parameters for a given projection, algorithmic errors in commercial geographic information …
All Equal-Area Map Projections Are Created Equal, But Some Are More Equal Than Others
High-resolution regional and global raster databases are currently being generated for a variety of environmental and scientific modeling applications. The projection of these data from geographic coordinates to a plane coordinate system is subject to significant areal error. Sources of error include users selecting an inappropriate projection or incorrect parameters for a given projection, algorithmic errors in commercial geographic information …
All Equal-Area Map Projections Are Created Equal, But Some Are More Equal Than Others
High-resolution regional and global raster databases are currently being generated for a variety of environmental and scientific modeling applications. The projection of these data from geographic coordinates to a plane coordinate system is subject to significant areal error. Sources of error include users selecting an inappropriate projection or incorrect parameters for a given projection, algorithmic errors in commercial geographic information …
Assessing Resampling Accuracy of Categorical Data Using Random Points
Tissot's Indicatrix and regular grids have been used for assessing map projection accuracies. Despite their broad applicability for accuracy assessment, they have limitations in quantifying resampling errors caused by map projections. This is due to the structural uncertainty with regard to the placement and pattern of grids. It is also difficult to calculate the absolute amount of resampling error in each projection. As an alternative to traditi…
Length-Preserving Thinning Algorithm for Line Extraction from Landcover Data
This article presents a methodology to automate linear feature generalization from image data using a length-preserving thinning algorithm. Conventional thinning algorithms on raster data produce erroneous skeletons at the river edges in the estuary of a river and in the perimeter of the input data. A river skeleton should be connected to the sea through the centre line of an estuary. A related problem is that of shortened skeletons resulting fro…
Early Holocene dune activity linked with final destruction of Glacial Lake Minong, eastern Upper Michigan, USA
The early Holocene final drainage of glacial Lake Minong is documented by 21 OSL ages on quartz sand from parabolic dunes and littoral terraces and one radiocarbon age from a lake sediment core adjacent to mapped paleoshorelines in interior eastern Upper Michigan. We employ a simple model wherein lake-level decline exposes unvegetated littoral sediment to deflation, resulting in dune building. Dunes formed subsequent to lake-level decline prior t…
Who is the bigger culprit? Studying impacts of traffic and land use on noise levels in CBD area of Karachi, Pakistan
Measuring Traffic Congestion with Novel Metrics
Quantifying traffic congestion is a critical task for transportation planning and research. Numerous metrics have been developed, mainly focusing on changes in vehicle speeds, their extents, and travel time. In this study, new metrics are presented using the Hägerstrand’s space-time cube that has been studied from time geography perspectives since the 1960s. Particularly, the product of distance and time, i.e., distanceTime, is proposed as a base…
Beyond the Road
Traffic congestion not only affects traffic flow but also influences public perception of congested regions. While analyzing congestion at the road section level can help identify engineering solutions, it often fails to reveal broader spatial patterns and trends at the regional or macro scale unless summarized effectively. This study aims to address these challenges by focusing on regional-scale traffic congestion amounts measured by distanceTim…
Quantifying Percent Traffic Congestion (pTC) and Mobility Bottleneck Dynamics at Atlanta’s Spaghetti Junction
Highway interchanges are vulnerable components of transport networks, often prone to congestion and crashes. Traditional monitoring methods like loop detectors or travel time queries often fail to capture the granular spatiotemporal distribution of bottlenecks in detail. To address this gap, this study introduces a new approach to quantify congestion and analyze bottleneck dynamics at Atlanta’s Tom Moreland Interchange, one of the nation’s most c…
Uncovering Fishing Area Patterns Using Convolutional Autoencoder and Gaussian Mixture Model on Viirs Nighttime Imagery
The availability of nighttime satellite imagery provides unique opportunities for monitoring fishing activity in data-sparse ocean regions. This study leverages Visible Infrared Imaging Radiometer Suite (VIIRS) Day/Night Band monthly composite imagery to identify and classify recurring spatial patterns of fishing activity in the Korean Exclusive Economic Zone from 2014 to 2024. While prior research has primarily produced static hotspot maps, our …
Computer Science (6 works) · Geography (6 works) · Algorithm (3 works) · Engineering (3 works) · Geometry (3 works) · Mathematics (3 works) · Traffic congestion (3 works) · Transport engineering (3 works) · 3D Modeling in Geospatial Applications (2 works) · Artificial Intelligence (2 works)