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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography
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Volume & Issues
Volume 34, Issue 4 - Aug 2016
Volume 34, Issue 3 - Jun 2016
Volume 34, Issue 2 - Apr 2016
Volume 34, Issue 1 - Feb 2016
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A Selection of High Pedestrian Accident Zones Using Traffic Accident Data and GIS: A Case Study of Seoul
Yang, Jong Hyeon ; Kim, Jung Ok ; Yu, Kiyun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 221~230
DOI : 10.7848/ksgpc.2016.34.3.221
To establish objective criteria for high pedestrian accident zones, we combined Getis-ord Gi* and Kernel Density Estimation to select high pedestrian accident zones for 54,208 pedestrian accidents in Seoul from 2009 to 2013. By applying Getis-ord Gi* and considering spatial patterns where pedestrian accident hot spots were clustered, this study identified high pedestrian accident zones. The research examined the microscopic distribution of accidents in high pedestrian accident zones, identified the critical hot spots through Kernel Density Estimation, and analyzed the inner distribution of hot spots by identifying the areas with high density levels.
A Construction of Geographical Distance-based Air Quality Dataset Using Hospital Location Information
Kim, Hyeongsoo ; Ryu, Keun Ho ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 231~242
DOI : 10.7848/ksgpc.2016.34.3.231
As of late, air quality information has been actively gathered and investigated in order to find possible environmental risk factors that may affect the onset of cardiovascular disease. Nevertheless, existing studies are limited in the detailed analysis because they take advantage of the air quality information of the macro statistics divided into administrative districts. This paper proposes the construction of distance-based air quality dataset using a domestic hospital’s geographical location information as a reliable data gathering step for a more detailed analysis of environmental risk factors. For the construction of the dataset, air quality information was obtained by utilizing the geographical location of a hospital—in which a patient with cardiovascular disease had been admitted—and then matching the hospital with a meteorological and air pollution station in its vicinity. An air quality acquisition system based on GMap.net was devised for the purpose of data gathering and visualization. The reliability of the experiment was confirmed by evaluating the matching rate and error of air quality values between the acquired dataset with existing area-based air quality datasets from matched distances. Therefore, this dataset, which considers geographical information, can be utilized in multidisciplinary research for the discovery of environmental risk factors that can affect not only cardiovascular diseases but also potentially other epidemic diseases.
Curved Feature Modeling and Accuracy Analysis Using Point Cloud Data
Lee, Dae Geon ; Yoo, Eun Jin ; Lee, Dong-Cheon ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 243~251
DOI : 10.7848/ksgpc.2016.34.3.243
LiDAR data processing steps include noise removal, filtering, classification, segmentation, shape recognition, modeling, and quality assessment. This paper focuses on modeling and accuracy evaluation of 3D objects with curved surfaces. The appropriate modeling functions were determined by analyzing surface patch shape. Existing methods for modeling curved surface features require linearization, initial approximation, and iteration of the non-linear functions. However, proposed method could directly estimate the unknown parameters of the modeling functions. The results demonstrate feasibility of the proposed method. The proposed method was applied to the simulated and real building data of hemi-spherical and semi-cylindrical surfaces. The parameters and accuracy of the modeling functions were estimated. It is expected that the proposed method would contribute to automatic modeling of various objects.
Spatial Autocorrelation of Disease Prevalence in South Korea Using 2012 Community Health Survey Data
Oh, Won Seob ; Nguyen, Cong Hieu ; Kim, Sang Min ; Sohn, Jung Woo ; Heo, Joon ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 253~262
DOI : 10.7848/ksgpc.2016.34.3.253
As a basic research to investigate geographical variations of diseases, this study analyzes and compares spatial patterns of 24 different diseases in South Korea using prevalence rate data provided by Community Health Survey in 2012. Descriptive statistical analysis, global Moran’s I computation, and disease mapping were conducted to examine spatial associations and patterns of each disease. After the unique spatial patterns and distinctive spatial associations of each disease were observed, we concluded that 12 diseases displayed statistically significant spatial autocorrelation while the other 12 showed no spatial associations. This study suggests that diseases are caused by different risk factors and possess different etiological mechanisms. Furthermore, the study may lay foundation for future studies of geographical variations of disease prevalence in South Korea.
A Study of Optimal Location and Allocation to Improve Accessibility of Automated External Defibrillator
Kwon, Pil ; Lee, Youngmin ; Yu, Kiyun ; Lee, Won Hee ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 263~271
DOI : 10.7848/ksgpc.2016.34.3.263
On account of population aging and increasing cardiovascular disorders, acute cardiac arrest cases are escalating each year. In order to increase the survival rate of the patients, rapid cardiopulmonary resuscitation is necessary. For this reason, the government is expanding the supply of Automated External Defibrillators(AED). However, the AEDs cannot be effectively deployed to the incident cases that occur outdoors, for the installed AEDs are mostly located indoors. After analyzing the distribution of incident cases within the study area, about 11% of cardiac arrest incidents occurred in open spaces including sidewalks and residential areas. This study was conducted to increase the survival rate of the patients by allocating 41 additional AEDs in the study area using a GIS based location-allocation method. To conduct a feasibility study, the density of a senior floating population covered by the same number of AEDs placed at random and the density covered by the experiment were compared. In conclusion, having excluded outliers caused by geological and social factors, results showed that AEDs placed through GIS based location-allocation covered 5% more of the senior floating population density.
Optimized Path Finding Algorithm for Walking Convenience of the People with Reduced Mobility
Moon, Mikyeong ; Lee, Youngmin ; Yu, Kiyun ; Kim, Jiyoung ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 273~282
DOI : 10.7848/ksgpc.2016.34.3.273
There has been growing social interest recently in the movement rights of people with reduced mobility. However, it simply eliminates the temporary inconvenience of walking of people with reduced mobility because it focuses only on supply of institutional facilities. Therefore, we look forward to improving movement welfare by proposing an optimized path finding algorithm for people with reduced mobility that takes into consideration physical elements affecting their movement, such as slope, steps etc. We selected Walking barrier factor by analyzing previous studies and calculated the relative importance of Walking barrier factors using an Analytic Hierarchy Process(AHP). Next, through the fuzzy system, the Walking disturbance level of link, which integrates the weights of Walking barrier factors and the attributes of each link, is derived. Then, Walking path cost that takes into consideration the ‘length’ factors is calculated and an optimized path for people with reduced mobility is searched using Dijkstra’s Algorithm. Nineteen different paths were searched and we confirmed that the derived paths are meaningful in terms of improving the mobility of people with reduced mobility by conducting a field test. We look forward to improving movement welfare by providing a navigation service using the path finding algorithm proposed in this study.
Orthophoto and DEM Generation in Small Slope Areas Using Low Specification UAV
Park, Jin Hwan ; Lee, Won Hee ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 283~290
DOI : 10.7848/ksgpc.2016.34.3.283
Even though existing methods for orthophoto production in traditional photogrammetry are effective in large areas, they are inefficient when dealing with change detection of geometric features and image production for short time periods in small areas. In recent years, the UAV (Unmanned Aerial Vehicle), equipped with various sensors, is rapidly developing and has been implemented in various ways throughout the geospatial information field. The data and imagery of specific areas can be quickly acquired by UAVs at low costs and with frequent updates. Furthermore, the redundancy of geospatial information data can be minimized in the UAV-based orthophoto generation. In this paper, the orthophoto and DEM (Digital Elevation Model) are generated using a standard low-end UAV in small sloped areas which have a rather low accuracy compared to flat areas. The RMSE of the check points is σ
Boresight Calibration Comparison Using Geoid Models
So, Jae Kyeong ; Park, Young Su ; Won, Jae Ho ; Yun, Hee Cheon ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 291~297
DOI : 10.7848/ksgpc.2016.34.3.291
Direct georeferencing has become widespread in the field of digital aerial photogrammetry; as a result, the boresight calibration has become an essential component of the procedure to calculating exterior orientation parameters of aerial photographs accurately. During this procedure, a reference is used for the height of the geoid model, and the calibration results can appear different depending on the geoid model. The exterior orientation parameters calculated through direct georeferencing during boresight calibration may have varied values according to the corresponding geoid model. With that in mind, the effects of the geoid model on the boresight calibration were analyzed through three different cases. The geoid models used in the experiments were EGM96, EGM08, and KNGeoid14, and, through boresight calibration, the datum shift and boresight angle for each model was computed. After calculating the exterior orientation of each case, the GCP (Ground Control Point) was verified using the DPW (Digital Photogrammetry Workstation). In each case, results in the boresight calibration acquired through the geoid model demonstrated a difference in the Z datum, the exterior orientation heights Z, and the rotation Ω and Φ. After utilizing the DPW in each case and comparing it to the GCP, the difference in accuracy in accordance with the geoid model was found to be within 3cm, and it was concluded that the geoid model did not have a significant impact on boresight calibration.
Accuracy Analysis of Ocean Tide Loading Constituent Detection Using GNSS Positioning
Yoon, Ha Su ; Choi, Yun Soo ; Kwon, Jay Hyoun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 299~308
DOI : 10.7848/ksgpc.2016.34.3.299
Various space geodetic techniques have been developed for highly precise and cost-efficient positioning solutions. By correcting the physical phenomena near the earth’s surface, the positioning accuracy can be further improved. In this study, the vertical crustal deformation induced by the ocean tide loading was accurately estimated through GNSS absolute and relative positioning, respectively, and the tidal constituents of the results were then analyzed. In order to validate the processing accuracy, we calculated the amplitude of eight major tidal constituents from the results and compared them to the global ocean tide loading model FES2004. The experimental results showed that absolute positioning and positioning done every hour during the observation time of 2 hours, which yielded an outcome similar to the reference ocean tide loading model, were better approaches for extracting tide constituents than relative positioning. As a future study, a long-term GNSS data processing will be required in order to conduct more comprehensive analysis including an extended tidal component analysis.
Analysis of Erosion in Debris Flow Experiment Using Terrestrial LiDAR
Won, Sangyeon ; Lee, Seung Woo ; Paik, Joongcheol ; Yune, Chan-Young ; Kim, Gihong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 309~317
DOI : 10.7848/ksgpc.2016.34.3.309
Debris flows are rapidly flowing masses of water mixed with soil and gravel from landslides which are caused by typhoons or rainstorms. The combination of Korea’s mountain dominated topography (70%) and seasonal heavy rains and typhoons causes landslides and large-scale debris flows from June to August. These phenomena often cause property damage and casualties that amount up to 20% of total annual disaster fatalities. The key point to predicting debris flow is to understand its movement mechanism, erosion, and deposition. In order to achieve a more accurate estimation of debris flow path and damage, this study incorporates quantitative analysis of high resolution LiDAR DEM (GSD 10cm) to delineate geomorphic and topographic changes induced by Jinbu real scale debris flow test.
Pattern Analysis for Civil Complaints of Local Governments Using a Text Mining
Won, Tae Hong ; Yoo, Hwan Hee ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 319~327
DOI : 10.7848/ksgpc.2016.34.3.319
Korea faces a wide range of problems in areas such as safety, environment, and traffic due to the rapid economic development and urbanization process. Despite the local governments’ efforts to deal with electronic civil complaints and solve urban problems, civil complaints have been on the increase year by year. In this study, we collected civil complaint data over the last six years from a small and medium-sized city, Jinju-si. In order to conduct a spatial distribution pattern analysis, we indicated the location data on the area through Geocoding after classifying the reasons for civil complaints and then extracted the location data of the civil complaint occurrence spots in order to analyze the correlation between electronic civil complaints and land use. Results demonstrated that electronic civil complaints in Jinju-si were clustered in residential, central commercial, and residential-industrial mixed-use areas—areas where land development had been completed within the city center. After analyzing the civil complaints according to the land use, results revealed that complaints about illegal parking were the highest. Regarding the analysis results of facility distribution within a 50m radius from the civil complaint areas, civil complaints occurred a lot in detached housing areas located within the commercial and residential-industrial mixed-use areas. In the case of residential areas(old downtown), civil complaints were condensed in the areas with many ordinary restaurants. This research explored civil complaints in terms of the urban space and can be expected to be effectively utilized in finding solutions to the civil complaints
A Study on the Implementation of Indoor Topology Using Image Data
Kim, Munsu ; Kang, Hye-Young ; Lee, Jiyeong ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 329~338
DOI : 10.7848/ksgpc.2016.34.3.329
As the need of indoor spatial information has grown, many applications have been developed. Nevertheless, the major representations of indoor spatial information are on the 2D or 3D, recently, the service based on omni-directional image has increased. Current service based on omni-directional image is used just for viewer. To provide various applications which can serve the identifying the attribute of indoor space, query based services and so on, topological data which can define the spatial relationships between spaces is required. For developing diverse applications based on omni-directional image, this study proposes the method to generate IndoorGML data which is the international standard of indoor topological data model. The proposed method is consist of 3 step to generate IndoorGML data; 1) Analysis the core elements to adopt IndoorGML concept to image, 2) Propose the method to identify the element of ‘Space’ which is the core element of IndoorGML concept, 3) Define the connectivity of indoor spaces. The proposed method is implemented at the 6-floor of 21centurybuilding of the University of Seoul to generate IndoorGML data and the demo service is implemented based on the generated data. This study has the significance to propose a method to generate the indoor topological data for the indoor spatial information services based on the IndoorGML.
Design and Implementation of Semantic Search for POI Utilizing Collective Intelligence
Lee, Jaeeun ; Son, Hwamin ; Yang, Jonghyeon ; Yu, Kiyun ;
Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, volume 34, issue 3, 2016, Pages 339~346
DOI : 10.7848/ksgpc.2016.34.3.339
Semantic search recently been used in the search field. POI is one of the most essential information that make up the geographic information, and many of the geographic information system has POI search function as a basic. In this study, we propose POI semantic search using collective intelligence. For this, we designed and implemented service that constructs empirical information from tag and image, and provides an intuitive spatial navigation experience. For POI search, collective intelligence platform that many users can participate to collect variety information was designed and implemented.