• Journal of the Korean Association of Geographic Information Studies
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• v.12 no.2
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• pp.1-10
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• 2009

Recently the large scale of forest disaster such as landslide and forest fire gives a very bad impact on not only forest ecosystem but also farm business so that it has became the main issue of environmental problems. In this study, the landslide hazard area forecast method was developed by considering not only the topographic thematic maps based on GIS and satellite images but also amount of rainfall data, which are very important factors of landslide. Uljin-gun was selected as the study area and the GIS weight score and overlay analysis were applied to topographical map and meteorological observation map. Finally the landslide area distribution map was constructed by considering the evaluation criteria. Also, the accuracy could be acquired by comparing the landslide hazard area forecast map and real damaged area extracted from satellite image.

• Journal of the Korean Society of School Health
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• v.29 no.3
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• pp.286-298
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• 2016

Purpose: The aim of this study was to identify the effects of community mapping based on volunteered Geographic Information System on smoking prevention among female middle school students. Methods: This study used a triangulation method which integrated quantitative data from a "pre-post" study on a nonequivalent control group and qualitative data from focus group interviews. Data was collected from 4 August 2015 to 10 January 2016. The experimental group (n=24) participated in community mapping along with education on smoking prevention and the control group (n=28) participated only in routine education. Both groups were measured on their knowledge and attitude related to smoking prevention through self-report questionnaires. The quantitative data was analyzed by descriptive statistics, $x^2$ analysis, and t-test using SPSS 23.0. The qualitative data was collected through focus group interviews to investigate the social-environmental effect of smoking prevention. Results: Knowledge related to smoking prevention was significantly higher (t=2.591, p=.013) in the experimental group than the control group. But attitude related to smoking prevention did not show significant differences between the two groups. When asked about their experiences of the community mapping program, it turned out to be a process where they could learn practical knowledge related to smoking prevention and experience their individual practices manifested as collective intelligence while working together with community members. The study found that community mapping had an effect on smoking prevention from a social and environmental aspect. Conclusion: To be more effective, school education on smoking prevention should be provided in connection with the community. It is also desirable to provide an opportunity where adolescents can experience discovering and solving practical problems along with their own community.

• Journal of Korean Society for Geospatial Information Science
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• v.15 no.4
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• pp.3-9
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• 2007

Recently, the efforts of systematic understanding and utilization of geographic phenomenon for human life as a important factor among activity of mankind are increasing. It is necessary to express topography connected with space. Especially, the technology of geographic analysis using DEM can supply the information rapidly and accurately about elevation and terrain slope of the subject area under the necessity of high 3D quality geographic information. In this study, creating more precise DEM derived from LiDAR data, quantitative analysis on the subject area about elevation and terrain slope is done under comparison with Digital Topographic map Scale 1:1000. LiDAR data is more detailed than Digital Topographic map to express the elevation of the subject area ($39.89{\sim}77.48m$), and terrain slope by analysis using DEM derived from LiDAR data come out minutely about 90%. It can be concluded that the LiDAR data is very applicable and accurate for 3D topographic terrain slope analysis.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.22 no.3
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• pp.269-275
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• 2004

Geographic data have widely been applied in different areas including landuse, city planning and management, environment, disaster management and even daily use of citizens. Since geographic data have been built individually using different methods, many problems such as data inconsistency, duplicated investment, and confusion in decision making have arisen. Thus, the necessity of national framework database that can be shared by different areas has increased. As a result, eight fields of the framework database were defined by NGIS Law and 19 detailed items were selected. This study used the AHP (Analytical Hierarchy Process) and the decision tree to evaluate the relative importance of the items (eg. roads, railroads, coastline, surveying control points, and etc.) and presented the groups classified according to the priorities of the items. The result of this study is believed to contribute to effective budget planning for building national framework database.

• Journal of the Korea Convergence Society
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• v.12 no.8
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• pp.13-21
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• 2021

This study aims to analyze tourist inflow trends and consumption patterns using a geographic information system and big data analysis system. Songdo Central Park and Chinatown were selected among the major tourist destinations in Incheon, and floating population analysis and card sales analysis were conducted for one month in June 2017. The number of tourists visiting Songdo Central Park from metropolitan cities across the country was highest in the order of Incheon Metropolitan City, Gyeonggi-do, and Seoul Metropolitan City, and the proportion of foreign tourists was the highest in China. The number of card consumption used by Chinatown tourists was 12.4% higher for men than for women, and the amount of card consumption was also higher for men by 18%. This study has implications for proposing a strategic plan for tourism policy by analyzing the inflow trend and consumption pattern of tourists and deriving major issues in the establishment of tourism policy. Based on this study, it is expected that it can be helpful in improving the construction of tourism infrastructure in the future.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.663-666
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• 2005

The Geography Markup Language (GML) is an XML encoding for the transport and storage of geographic information, including both the geometry and properties of geographic features. This paper uses the GML to provide extendibility and interoperability of spatial data in moving objects management system. Since the purpose of the system is to provide locations of the moving objects in the web and mobile environments, we used the GML both for presenting map data and trajectories of the moving objects. The proposed system is composed of Location Data Interface, Moving Objects Engine, and Web/Mobile Presentation Interface. We utilized the concept of Web Map Server, that is web mapping technology of OGC (Open Geospatial Consortium), to integrate map data and the location information of the moving objects. In the process of the integration, we used the standard data model and interfaces while defining new application schema. Since our suggested system uses open spatial data encoding and interfaces, both extendibility and interoperability are guaranteed.

• Journal of Korean Society for Geospatial Information Science
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• v.4 no.2 s.8
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• pp.173-180
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• 1996

In a grid based data transformation, the different gridding methods provide different interpretations of scattered data because each method calculate grid node values using a different weighted mathematical algorithms. Therefore, it is necessary to review the interpolated characteristics of some gridding methods according to search distance, search area and search options before determing the best method with a data set. For this, in this paper, six different gridding methods with the same search conditions are applied to a scattered data obtained from sterro-plotter. The interpolated characteristics of the scattered geographic data considered through comparison of coincidence between the data point and the grid node being interpolated. And also, shows the real application of gridding methods through calculating volumes and creating cross sections.

• Korean Journal of Remote Sensing
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• v.8 no.2
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• pp.125-130
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• 1992

Interconnecting remote sensing systems to geographic information systems is valuable in many different applications. Two common techniques for moving data between these two related kinds of spatial data-processing systems were discussed. Digital classification of remote sensing data for use in natural resource inventory has produced mixed results. In attempts to improve classification, accuracy ancillary data, such as digitized maps and terrain(elevation) data, have been combined with remotely sensed data in various ways. These data have been used commonly in (1) preclassification scene stratification and (2) postclassification class sorting. These two approaches are found to be efficient, but lacking in sophistication due to their reliance on deterministic decision rules.

• Journal of Korea Spatial Information System Society
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• v.6 no.1 s.11
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• pp.3-17
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• 2004

With the rapid growth of the Internet geographic information services through the WWW such as a location-based service and so on. Web GISs (Geographic Information Systems) have also come to be a cluster-based architecture like most other information systems. That is, in order to guarntee high quality of geographic information service without regard to the rapid growth of the number of users, web GISs need cluster-based architecture that will be cost-effective and have high availability and scalability. This paper proposes the design of the cluster-based web GIS with high availability and scalability. For this, each node within a cluster-based web GIS consists of main memory spatial databases which accomplish role of caching by using data declustering and the locality of spatial query. Not only simple region queries but also the proposed system processed spatial join queries effectively. Compare to the existing method. Parallel R-tree spatial join for a shared-Nothing architecture, the result of simulation experiments represents that the proposed spatial join method achieves improvement of performance respectively 23% and 30% as data quantity and nodes of cluster become large.

• Journal of Internet Computing and Services
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• v.1 no.1
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• pp.73-86
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• 2000

The Geographic Information System (GIS) is a system that collects, stores, analyzes and processes geographic object data existing in space. The GIS is widely used in application fields related to geography such as city planning, land-register management, forest resources management, etc. The importance and necessity of the GIS have been well demonstrated, and therefore many studies on this system have been carried out. However, most of those studies have just treated geographic information as spatial information, but have not considered or have overlooked changes of spatial data dependent on time. For example, transportation information management and atmospheric phenomena forecast, have not exactly reflected the actual world which changes with the flow of time. In this thesis, a temporal GIS is established to effectively and precisely process information on space objects changing with time and a database is built up in reference to changes in water temperature and salinity. And the isotherm and isohaline forecast system implemented to support graphical tool.