• Journal of Periodontal and Implant Science
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• v.46 no.3
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• pp.207-217
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• 2016

Purpose: The aim of this study is to analyze and visualize the distribution of patients visiting the periodontology department at a dental college hospital, using a geographic information system (GIS) to utilize these data in patient care and treatment planning, which may help to assess the risk and prevent periodontal diseases. Methods: Basic patient information data were obtained from Dankook University Dental Hospital, including the unit number, gender, date of birth, and address, down to the dong (neighborhood) administrative district unit, of 306,656 patients who visited the hospital between 2007 and 2014. The data of only 26,457 patients who visited the periodontology department were included in this analysis. The patient distribution was visualized using GIS. Statistical analyses including multiple regression, logistic regression, and geographically weighted regression were performed using SAS 9.3 and ArcGIS 10.1. Five factors, namely proximity, accessibility, age, gender, and socioeconomic status, were investigated as the explanatory variables of the patient distribution. Results: The visualized patient data showed a nationwide scale of the patient distribution. The mean distance from each patient's regional center to the hospital was $30.94{\pm}29.62km$ and was inversely proportional to the number of patients from the respective regions. The distance from a regional center to the adjacent toll gate had various effects depending on the local distance from the hospital. The average age of the patients was $52.41{\pm}12.97years$. Further, a majority of regions showed a male dominance. Personal income had inconsistent results between analyses. Conclusions: The distribution of patients is significantly affected by the proximity, accessibility, age, gender and socioeconomic status of patients, and the patients visiting the periodontology department travelled farther distances than those visiting the other departments. The underlying reason for this needs to be analyzed further.

• Journal of Ecology and Environment
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• v.36 no.3
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• pp.159-166
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• 2013

Oryzias latipes and Oryzias sinensis are indigenous species found in Japan, China, and other East Asian countries, including Korea. Based on morphological differences, the species have been classified distinctly. However, the range of morphological characters such as the number of gill rakers, vertebrae, and spots on the lateral body overlaps and is too vague for clear identification, so their classification based on their morphological characteristics remains uncertain. In this study, the mitochondrial cytochrome oxidase subunit I (COI) gene, which is used for DNA barcoding, was applied to clarify interspecific variation of O. latipes and O. sinensis. Intraspecific genetic diversity was calculated to identify correlations with geographic distributions. We studied two species collected from 55 locations in Korea. All individuals carried a 679-base pair gene without deletion or insertion. Between species, 525 base pairs of the gene were shared. The Kimura two parameter (K2P) distance of O. latipes and O. sinensis was 0.41% and 1.39%, respectively. Mean divergence within genera was 23.5%. Therefore, the species were clearly different. The distance between O. latipes and O. sinensis was 14.0%, which is the closest within genera. Interestingly O. latipes from the Japanese and Korean group represented 16.5% distant. These results were derived from geohistorical and anthropogenic environmental factors. The O. latipes haplotypes were joined in only one group, but O. sinensis was divided into two groups, one is found in the Han River and upper Geum River watershed; the other is found in the remaining South Korean watersheds. Further studies will address the causes for geographic speciation of O. sinensis haplotypes.

• Journal of the Korean Association of Geographic Information Studies
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• v.16 no.3
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• pp.91-102
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• 2013

The purpose of this study is to suggest the way of effective use of spatial data in Busan metropolitan city. To do so, information systems and spatial data established in each department are analyzed. Spatial data distribution networks scattered around the nation are integrated to the national spatial information clearinghouse and the service is expanded for the public and the private sectors to participate. Information systems supplied by the central government are 22 and information systems operating in the Busan Metropolitan City are 168. In addition, there are also 295 types of the thematic maps in 11 fields related to the environment, road transportation, livestock, and etc. For systems integration and management system, an integrated information management and linkage system is required in the near future. In the next logical step, generation of metadata, experiments for effective utilization of spatial data, and construction of the data center should be necessary.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.4
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• pp.119-132
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• 2004

As geographic object is consisted of 3-dimensional, it must be appropriated use the 3-dimensional coordinate system to express for exact representation. To define 3-dimensional+temporal object model we extended 3-dimensional space and valid time from object model of OpenGIS consortium that is limited to 2-dimensional space. This methodology guarantees compatibility with other systems to construct with the open model. Also, it permitted administration for two kinds of object by considering both objects whose position and shape changes discretely over time and objects whose position changes continuously. 3-dimensional+temporal object model was implemented by 3-dimensional+temporal object component using OLE/COM techniques. The interfaces of the component defined based on 3-dimensional+temporal object model. To use this component, we implement the data consumer for 3-dimensional+temporal data.

• Journal of the Korean Association of Geographic Information Studies
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• v.7 no.4
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• pp.65-76
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• 2004

This paper suggests design and implementation of moving objects management system using GML which is the XML encoding standard of geographic data. The proposed system integrates spatial data and moving objects data, utilizing the concept of Web Feature Services. While integrating data, standard data model and interfaces, proposed by OGC, are used. Since GML is standard for storing and transferring spatial/non-spatial data, interoperability and extendibility can be obtained. In addition, we propose efficient developing environment for the moving object management system by providing components having Web/Mobile interface. If the proposed component be development methods are used, it is easy to add or modifyservices in the mobile system and pla

• Journal of Korea Water Resources Association
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• v.33 no.S1
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• pp.1009-1014
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• 2000

• Journal of the Korean Association of Geographic Information Studies
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• v.19 no.1
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• pp.94-105
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• 2016

This study was carried out to assess the distributional probability for Evergreen Broad-Leaved Forests(EBLFs) using the field data and digital climate data that were occurred during the period of 1980 to 2010. For the validation of logistic regression model, the probabilistic value ranged from 33 to 84%, especially the probabilistic value of growing distribution becomes lower patterns with higher altitude. In addition, it has been estimated that the probabilistic value of growing distribution is the highest with 63~83% among the regional units in temperate/warm-temperate forests.

• Journal of the Korean Association of Geographic Information Studies
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• v.20 no.4
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• pp.77-88
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• 2017

This study developed an inventory, using GIS-based resource assessment, for assisting forest management planning. The major inventory contents were relationally integrated, using field sample plots, to extract and calculate attributes such as general status, forest stand condition, forest site condition, forest site and soil area (ha) and growing stock (weight, in tons). Evaluating the efficiency of forest management plan implementations is critical to effective health and sustainability at a larger functional level, specifically in bamboo forests. This inventory is a valuable tool for decision-making, such as developing a long-term management plan for sustainably managing bamboo resources.

• Journal of the Korean Association of Geographic Information Studies
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• v.10 no.2
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• pp.164-171
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• 2007

This research used GIS spatial analysis model and Huff probability model and achieved trade area analysis of area center. we constructed basic maps that were surveyed according to types of business, number of households etc. using a land registration map of LMIS(Land Management Information System) in Bokdae-dong, Cheongju-si. Kernel density function and NNI(Nearest Neighbor Index) was used to estimate store distribution center area in neighborhood life zones. The center point of area and scale were estimated by means of the center area. Huff probability model was used in abstracting trade areas according to estimated center areas, those was drew map. Therefore, this study describes method that can apply in Huff probability model through kernel density function and NNI of GIS spatial analysis techniques. A trade area was abstracted more exactly by taking advantage of this method, which will can aid merchant for the foundation of small sized enterprises.

• Proceedings of the KSRS Conference
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• 2003.11a
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• pp.1295-1297
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• 2003

Owing to the higher temporal resolution, meteorological satellite data is widely used to monitor the disasters happened on the earth's surface. However, the precision of identifying disaster information is limited by the poor spatial resolution. As known, GIS technology is good at processing and analyzing the geographic information. The result shows, integrating with GIS technology, the ability of monitoring forest fire using meteorological satellite data has been greatly improved.