• Korean Journal of Health Education and Promotion
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• v.20 no.4
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• pp.51-65
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• 2003

Objectives： To examine the regional mortality differences in The Republic of Korea according to geographic location. Methods： All 232 administrative districts of the Republic of Korea in 1998 were studied according to their geographic locations by dividing each district into three categories； "metropolis," "urban," and "rural". Crude mortality rates for doth sexes from total deaths as well as the three major causes of death in Korea (cardiovascular disease, cancer, and external causes) were calculated with raw data from the "1998 report on the causes of death statistics" and resident registration data. Standardized mortality ratios (SMR) were calculated using the indirect standardization method. Poisson regression analyses were performed to examine the effects of geographic locations on the risk of death. To correct for the socioeconomic differences of each region, the percentage of old ($\geq$ 65 years old) population, the number of privately owned cars per 100 population, and per capita manufacturing production industries were included in the model. Results： Most SMRs were the lowest in the metropolis and the highest in the rural areas. These differences were more prominent in men and in deaths from external causes. In deaths from cancer in women, the rural region showed the lowest SMR. In Poisson regression analysis after correcting for regional socioeconomic differences, the risk of death from all causes significantly increased in both urban (OR＝1.111) and rural (OR＝1.100) regions, except for rural women, compared to the metropolis region. In men, the rural region showed higher risk (OR＝1.180) than the urban region (OR＝1.l51). For cardiovascular disease and cancer, significant differences were not found between geographic locations, except in urban women for cardiovascular disease (OR＝1.151) and in rural women for cancer (OR＝0.887), compared to metropolis women. In deaths from external causes, the risk ratios significantly increased in both urban and rural regions and an increasing tendency from the metropolis to the rural region was clearly observed in both sexes. Conclusions： Regional mortality differences according to geographic location exist in The Republic of Korea and further research and policy approaches to reduce these differences are needed. to reduce these differences are needed.

• Korean Journal of Remote Sensing
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• v.3 no.1
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• pp.55-70
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• 1987

The main purpose of is paper is to review and develope design techniques with respect to geographic information system (GIS) using computer graphics. The geographic information system is a system designed to capture, store, manipulate, retrieve and display various data about geographic locations and spatial characteristics. In order to perform this research, a significant literature review was conducted and various design techniques of GIS based upon computer graphice were discussed.

• Korean Journal of Veterinary Research
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• v.36 no.1
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• pp.187-193
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• 1996

The T sergenti DNA fragments used as probes of KTS1(2.4kb) and KTS3(1.5kb) were labeled with digoxigenin-11-dUTP for the Southern hybridization. T sergenti DNAs from different geographic locations(Korea; Chonbuk, Kyungbuk, Chungnam, Kangwon, Cheju island, Japan; Shintoku, Shintoku 9209, Shintoku 9201, Shintoku 9202, Shintoku 9102) which had been digested with Pst I and EcoR I were probed by the digoxigenin-11-dUTP-labeled KTS1 and KTS3. As the results, the samples from Chonbuk, Kyungbuk, Cheju island in Korea and Shintoku, Shintoku 9209, Shintoku 9201, Shintoku 9102 in Japan were positively reacted, but the others from the other locations not reacted. In the comformation test of T sergenti DNA from different geographic locations, all of the samples were positively detected by PCR amplification.

• Journal of the Korean Association of Geographic Information Studies
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• v.26 no.4
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• pp.188-199
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• 2023

CCTV is widely used as a crime prevention method globally; however, there is insufficient evidence regarding its effectiveness. This study assesses the suitability of CCTV locations and their impact on crime prevention. First, to analyze the appropriateness of the location of CCTVs, we overlaid the locations of crimes and CCTV, and found that there are many cases where CCTV were placed where crime rarely occurred. Using various cases, we verified CCTV's crime prevention effectiveness. The WDQ was applied to comprehensively analyze the impact of CCTV surveillance area and surrounding areas to determine the crime prevention effect. As a result of the analysis, CCTV was found to be effective in preventing crime. In 53.09% of the cases, there was a diffusion effect of crime control benefits in the surrounding area, which was four times more than the cases with a transfer effect. Thus, strategically installing CCTV in appropriate locations enhances crime prevention effectiveness based on spatial analysis.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.17 no.32
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• pp.1-6
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• 1994

Many vehicle routing methods have been suggested, which minimize the routing distances of vehicles to reduce the total transportation cost. In describing a distribution network, we have stated that it is basically a system or a set of locations that, receive or store material plus the routes that connect these locations. Whether the network is spread over some geographic region or is whitin a single facility, the definition remains the same. Implicit in this definition, however, is that both the locations and the transportation between these locations must be considered in any decisions regarding the design of the operation of the overall network. The purpose of this paper is optimal layout using transportation quantity and distance in the total system operation. And we minimize the sum of load-carrier costs and spur costs in this flow network.

• Journal of information and communication convergence engineering
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• v.18 no.3
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• pp.194-200
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• 2020

Cities in Indonesia include diverse scattered industrial centers comprising industries that can sustain the existing economic pace. For industrial data collection, the city government still relies on census that consumes extensive time and money. The public are unfamiliar with industries owing to their lack of industry information; therefore, the market share is not optimal. In addition, the opportunity to procure investors for business development is limited. A Geographic Information System (GIS) is a computer system that can record, store, write, analyze, and display geographical data. Using the Rapid Application Development (RAD) method, GIS was developed on a website platform to provide information on industry profiles, types of production, investment values, industry maps, and industrial locations in each village and sub-district to a wider community. The RAD method was chosen compared to the waterfall method because it could accelerate website development process.

• International Journal of Computer Science & Network Security
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• v.21 no.12spc
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• pp.409-414
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• 2021

Geographic Information Systems (GIS) is considered to be one of the most important technologies provided by the Internet in our era. GIS enables institutions and individuals to plan and make decisions in many fields. GIS assists in accessing new and updated information on planning process. GIS also enables determining distances such as length, width, area on a map, and allows analyzing and processing a large amount of data for the search of geographical characteristics of locations. This paper explains the concept of dispensing prescription through the specific code of drug on an electronic system using GIS technology. The proposed methodology aims to inform patients of all the prescriptions dispensed and to help individuals inquiring about prescription at the nearest pharmacy through GIS technology. This proposed methodology is considered significant in some cases, as the patient does not know price, specifications and pharmacy location where the drug required is available, thus increasing the time and effort cost that is spent searching for the prescription.

• Environmental Analysis Health and Toxicology
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• v.30
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• pp.10.1-10.14
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• 2015

Recent cohort studies have relied on exposure prediction models to estimate individual-level air pollution concentrations because individual air pollution measurements are not available for cohort locations. For such prediction models, geographic variables related to pollution sources are important inputs. We demonstrated the computation process of geographic variables mostly recorded in 2010 at regulatory air pollution monitoring sites in South Korea. On the basis of previous studies, we finalized a list of 313 geographic variables related to air pollution sources in eight categories including traffic, demographic characteristics, land use, transportation facilities, physical geography, emissions, vegetation, and altitude. We then obtained data from different sources such as the Statistics Geographic Information Service and Korean Transport Database. After integrating all available data to a single database by matching coordinate systems and converting non-spatial data to spatial data, we computed geographic variables at 294 regulatory monitoring sites in South Korea. The data integration and variable computation were performed by using ArcGIS version 10.2 (ESRI Inc., Redlands, CA, USA). For traffic, we computed the distances to the nearest roads and the sums of road lengths within different sizes of circular buffers. In addition, we calculated the numbers of residents, households, housing buildings, companies, and employees within the buffers. The percentages of areas for different types of land use compared to total areas were calculated within the buffers. For transportation facilities and physical geography, we computed the distances to the closest public transportation depots and the boundary lines. The vegetation index and altitude were estimated at a given location by using satellite data. The summary statistics of geographic variables in Seoul across monitoring sites showed different patterns between urban background and urban roadside sites. This study provided practical knowledge on the computation process of geographic variables in South Korea, which will improve air pollution prediction models and contribute to subsequent health analyses.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.18 no.7
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• pp.1868-1887
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• 2024

Recommendation systems research is a subfield of information retrieval, as these systems recommend appropriate items to users during their visits. Appropriate recommendation results will help users save time searching while increasing productivity at work, travel, or shopping. The problem becomes more difficult when the items are geographical locations on the ground, as they are associated with a wealth of contextual information, such as geographical location, opening time, and sequence of related locations. Furthermore, on social networking platforms that allow users to check in or express interest when visiting a specific location, their friends receive this signal by spreading the word on that online social network. Consideration should be given to relationship data extracted from online social networking platforms, as well as their impact on the geolocation recommendation process. In this study, we compare the similarity of geographic locations based on their distance on the ground and their correlation with users who have checked in at those locations. When calculating feature embeddings for users and locations, social relationships are also considered as attention signals. The similarity value between location and correlation between users will be exploited in the overall architecture of the recommendation model, which will employ graph convolution networks to generate recommendations with high precision and recall. The proposed model is implemented and executed on popular datasets, then compared to baseline models to assess its overall effectiveness.

• Proceedings of the KSRS Conference
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• 2004.10a
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• pp.291-293
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• 2004

The aim of this study was to cross-validate a spatial probabilistic model of landslide likelihood ratios at Boun, Janghung and Yongin, in Korea, using a Geographic Information System (GIS). Landslide locations within the study areas were identified by interpreting aerial photographs, satellite images and field surveys. Maps of the topography, soil type, forest cover, lineaments and land cover were constructed from the spatial data sets. The 14 factors that influence landslide occurrence were extracted from the database and the likelihood ratio of each factor was computed. 'Landslide susceptibility maps were drawn for these three areas using likelihood ratios derived not only from the data for that area but also using the likelihood ratios calculated from each of the other two areas (nine maps in all) as a cross-check of the validity of the method For validation and cross-validation, the results of the analyses were compared, in each study area, with actual landslide locations. The validation and cross-validation of the results showed satisfactory agreement between the susceptibility map and the existing landslide locations.